diff --git a/CITATION b/CITATION
new file mode 100644
index 0000000000000000000000000000000000000000..5bbbc251301dd686a17080f842c7dd779adae4c4
--- /dev/null
+++ b/CITATION
@@ -0,0 +1,27 @@
+@article{Schuecker17,
+    author = {Schuecker, Jannis and Schmidt, Maximilian and van Albada, Sacha J. and Diesmann, Markus and Helias, Moritz},
+    journal = ploscb,
+    publisher = {Public Library of Science},
+    title = {Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome},
+    year = {2017},
+    month = {02},
+    volume = {13},
+    pages = {1-25},
+    number = {2},
+    doi = {10.1371/journal.pcbi.1005179}
+}
+
+@article{Schmidt17,
+  title={Multi-scale account of the network structure of macaque visual cortex},
+  author={Schmidt, Maximilian and Bakker, Rembrandt and Hilgetag, Claus Christian and Diesmann, Markus and van Albada, Sacha Jennifer},
+  journal=bsf,
+  year={2017},
+  doi={https://doi.org/10.1007/s00429-017-1554-4}
+}
+
+@article{Schmidt18,
+  title={A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas}
+  author={Schmidt, Maximilian and Bakker, Rembrandt and Shen, Kelly and Bezgin, Gleb and Diesmann, Markus and Sacha Jennifer van Albada},
+  year={2018},
+  journal={under review}
+ }
diff --git a/K_stable.npy b/K_stable.npy
new file mode 100644
index 0000000000000000000000000000000000000000..8edd2bf78764613cddda361fd357e7d5d37232a5
Binary files /dev/null and b/K_stable.npy differ
diff --git a/README.md b/README.md
index 647e74e665a028f46089ac2ceb9a3f536d986c87..cc9b674a77501e510ae461b2f91e5415a2b86512 100644
--- a/README.md
+++ b/README.md
@@ -1 +1,173 @@
-# multi-area-model
+# Multi-scale spiking network model of macaque visual cortex
+![Model overview](model_construction.png)
+
+This code implements the spiking network model of macaque visual cortex developed
+at the Institute of Neuroscience and Medicine (INM-6), Research Center Jülich. 
+The model has been documented in the following publications:
+
+1. Schmidt M, Bakker R, Hilgetag CC, Diesmann M & van Albada SJ (2017)
+   Multi-scale account of the network structure of macaque visual cortex
+   Brain Struct Funct (2017) [https://doi.org/10.1007/s00429-017-1554-4](https://doi.org/10.1007/s00429-017-1554-4)
+
+2. Schuecker J, Schmidt M, van Albada SJ, Diesmann M & Helias M (2017)
+   Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome.
+   PLOS Computational Biology, 13(2). [https://doi.org/10.1371/journal.pcbi.1005179](https://doi.org/10.1371/journal.pcbi.1005179)
+
+3. Schmidt M, Bakker R, Shen K, Bezgin B, Diesmann M & van Albada SJ (2018) 
+   A multi-scale layer-resolved spiking network model of
+   resting-state dynamics in macaque cortex. (under review)
+
+The code in this repository is self-contained and allows one to
+reproduce the results of all three papers.
+
+## Python framework for the multi-area model
+[![www.python.org](https://img.shields.io/badge/python-2.7-blue.svg)](https://www.python.org)  [![www.python.org](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org) <a href="http://www.nest-simulator.org"> <img src="https://raw.githubusercontent.com/nest/nest-simulator/master/extras/logos/nest-simulated.png" alt="NEST simulated" width="50"/></a>
+
+The entire framework is summarized in the figure below:
+![Sketch of the framework](framework_sketch.png)
+
+In principle, we strictly separate the structure of the network
+(defined by population sizes, synapse numbers/indegrees etc.) from its dynamics
+(neuron model, neuron parameters, strength of external
+input, etc.). The complete set of default parameters for all components
+of the framework is defined in `default_params.py`.
+
+`MultiAreaModel`
+
+The central class that initializes the network and contains all
+information about population sizes and network connectivity. This 
+enables reproducing all figures in [1]. Network parameters only
+refer to the structure of the network and ignore any information on
+its dynamical simulation or description via analytical theory.
+
+`Simulation`
+
+This class can be initialized by `MultiAreaModel` or as standalone and
+takes simulation parameters as input. These parameters include, e.g.,
+neuron and synapses parameters, the simulated biological time and also
+technical parameters such as the number of parallel MPI processes and
+threads. The simulation uses the network simulator NEST
+(https://www.nest-simulator.org). For the simulations in [2, 3], we
+used NEST version 2.8.0. The code in this repository runs with a
+later release of NEST, version 2.14.0 .
+
+`Theory`
+
+This class can be initialized by `MultiAreaModel` or as standalone and
+takes simulation parameters as input. It provides two main features:
+- predict the stable fixed point of the system using mean-field theory
+- execute the stabilization method described in [2] on a network instance (will be provided soon)
+
+`Analysis`
+
+This class allows the user to load simulation data and perform some
+basic analysis and plotting.
+
+
+## Analysis and figure scripts for [1-3]
+
+The `figures` folder contains a subfolder with all scripts necessary to produce
+the figures from [1]. The scripts for [2] and [3] will follow soon.
+If snakemake is installed, the figures can be produced by executing
+`snakemake` in the respective folder.
+
+
+## Running a simulation
+
+To start using the framework, the user has to define a few environment variables
+in a new file called `config.py`. The file `config_template.py` lists the required
+environment variables that need to specified by the user.
+
+A simple simulation can be run in the following way:
+1. Define custom parameters
+       custom_params = ...
+       custom_simulation_params = ...
+2. Instantiate the model class together with a simulation class instance.
+   
+       M = MultiAreaModel(custom_params, simulation=True, sim_spec=custom_simulation_params)
+	   
+3. Start the simulation.
+
+       M.simulation.simulate()
+
+
+Typically, a simulation of the model will be run in parallel on a compute cluster.
+The files `start_jobs.py` and `run_simulation.py` provide the necessary framework
+for doing this in an automated fashion.
+The procedure is similar to a simple simulation:
+1. Define custom parameters
+       custom_params = ...
+       custom_simulation_params = ...
+2. Instantiate the model class together with a simulation class instance.
+   
+       M = MultiAreaModel(custom_params, simulation=True, sim_spec=custom_simulation_params)
+3. Start the simulation.
+   Call `start_job` to create a job file using the `jobscript_template` from the configuration file
+   and submit it to the queue with the user-defined `submit_cmd`.
+   
+The file `run_example.py` provides an example.
+
+Be aware that, depending on the chosen parameters and initial conditions, the network can enter a high-activity state, which slows down the simulation drastically and can cost a significant amount of computing resources.
+
+## Simulation modes
+
+The multi-area model can be run in different modes.
+
+1. Full model
+
+   Simulating the entire networks with all 32 areas and the connections between
+   them is the default mode configure in `default_params.py`.
+
+2. Down-scaled model
+
+   Since simulating the entire network with approx. 4.13 million neurons and 24.2 billion
+   synapses requires a large amount of resources, the user has the option to scale down
+   the network in terms of neuron numbers and synaptic indegrees (number of synapses
+   per receiving neuron).
+   This can be achieved by setting the parameters `N_scaling` and `K_scaling` in `network_params`
+   to values smaller than 1. In general, this will affect the dynamics of the network.
+   To approximately preserve the population-averaged spike rates, one can specify a set of target rates
+   that is used to scale synaptic weights and apply an additional external DC current.
+
+3. Subset of the network
+
+   You can choose to simulate a subset of the 32 areas specified by the `areas_simulated`
+   parameter in the `sim_params`. If a subset of areas is simulated, one has different options for how to replace the rest of the network set by the `replace_non_simulated_areas` parameter:
+   - `hom_poisson_stat`: all non-simulated areas are replaced by Poissonian spike trains with the
+     same rate as the stationary background input (`rate_ext` in `input_params`).
+   - `het_poisson_stat`: all non-simulated areas are replaced by Poissonian spike trains with
+      population-specific stationary rate stored in an external file. 
+   - `current_nonstat`: all non-simulated areas are replaced by stepwise constant currents with
+     population-specific, time-varying time series defined in an external file.
+
+4. Cortico-cortical connections replaced
+
+   In addition, it is possible to replace the cortico-cortical connections between simulated
+   areas with the options `het_poisson_stat` or `current_nonstat`.
+
+## Testsuite
+
+The `tests/` folder holds a testsuite that tests different aspects of network model initalization and meanfield calculations.
+It can be conveniently run by executing `pytest` in the `tests/` folder.
+
+## Requirements
+h5py\_wrapper, python\_dicthash ([https://github.com/INM-6/python-dicthash](https://github.com/INM-6/python-dicthash)),
+correlation\_toolbox ([https://github.com/INM-6/correlation-toolbox](https://github.com/INM-6/correlation-toolbox)),
+pandas, numpy, nested_dict, matplotlib (2.1.2), pyx, scipy, NEST 2.14.0
+
+Optional: seaborn, Sumatra
+
+To install the required packages in a conda environment, execute:
+
+`conda env create -f environment.yaml`
+
+## Contributors
+
+All authors of the publications [1-3] made contributions to the scientific content.
+The code base was written by Maximilian Schmidt, Jannis Schuecker, Sacha van Albada, and Alexander van Meegen.
+
+## Citation
+
+If you use this code, we ask you to cite the appropriate papers in your publication. For the multi-area model itself, please [1] and [3]. If you use the mean-field theory or the stabilization method, please cite [2] in addition. We provide bibtex entries in `CITATION`.
+
+<img src="https://raw.githubusercontent.com/nest/nest-simulator/master/extras/logos/nest-simulated.png" alt="NEST simulated" width="200"/>
diff --git a/config_files/.gitignore b/config_files/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..86d0cb2726c6c7c179b99520c452dd1b68e7a813
--- /dev/null
+++ b/config_files/.gitignore
@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore
\ No newline at end of file
diff --git a/config_template.py b/config_template.py
new file mode 100644
index 0000000000000000000000000000000000000000..a5db4e4b72dfbc931bd68e1b9dfa3c8013f53a1a
--- /dev/null
+++ b/config_template.py
@@ -0,0 +1,12 @@
+# Absolut path of repository
+base_path = None
+# Place to store simulations
+data_path = None
+# Template for jobscripts
+jobscript_template = """
+# Instruction for the queuing system
+
+mpirun python {base_path}/run_simulation.py {label}"""
+
+# Command to submit jobs on the local cluster
+submit_cmd = None
diff --git a/environment.yaml b/environment.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e4f6bdfc7425161317fcbb582622ddddfe7968d4
--- /dev/null
+++ b/environment.yaml
@@ -0,0 +1,16 @@
+name: multiarea_model
+dependencies:
+ - future
+ - numpy
+ - matplotlib
+ - pandas
+ - python==3.6
+ - scipy
+ - pip:
+   - h5py
+   - h5py_wrapper
+   - nested_dict
+   - requests
+   - https://github.com/INM-6/python-dicthash/archive/master.zip
+   - pyx
+  
diff --git a/figures/Schmidt2017/Fig1_model_overview.eps b/figures/Schmidt2017/Fig1_model_overview.eps
new file mode 100644
index 0000000000000000000000000000000000000000..26a917f3ebe8eb6cde5865ac3a2a81da83d28102
--- /dev/null
+++ b/figures/Schmidt2017/Fig1_model_overview.eps
@@ -0,0 +1,29643 @@
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+dup 1 get//GetRegistered eq 3 2 roll and exch
+2 get/exec load eq and
+}{
+pop false
+}ifelse
+}{
+pop false
+}ifelse
+}bind def
+/DoNothing
+{
+}def
+/RunTypeDaemon
+{
+dup type/dicttype eq{
+dup/Type//knownget exec{
+//PDFReader/TypeDaemons get exch
+//knownget exec{
+exec
+}if
+}if
+}if
+}bind def
+/obj
+{
+//PDFR_DEBUG{
+(Defining )print 1 index =only( )print dup =only( obj)=
+}if
+0 ne{
+exch mark exch(An object generation )exch( isn't 0.)//error exec
+}if
+}bind def
+/endobj
+{
+//PDFR_DEBUG{
+(endobj )=
+}if
+count 1 eq {pop} {dup type/dicttype eq{
+dup/.endobj_daemon//knownget exec{
+//PDFR_DEBUG{(.endobj_daemon for )print 2 index =}if
+exec
+}if
+}if
+dup type/dicttype eq{dup/ImmediateExec known}{false}ifelse{
+pop pop
+}{
+//PDFR_DEBUG{
+(Storing )print 1 index =
+}if
+//RunTypeDaemon exec
+//DoNothing 3 1 roll//Register exec
+}ifelse
+}ifelse}bind def
+/StoreBlock
+{
+//PDFR_DEBUG{
+(StoreBlock )print//PDFReader/BlockCount get =only(, Length = )print dup length =
+}if
+dup length string copy
+//PDFReader/BlockCount get exch
+//PDFReader/CurrentObject get 3 1 roll
+put
+//PDFReader/BlockCount get 1 add
+//PDFReader exch/BlockCount exch put
+}bind def
+/CheckLength
+{dup type/integertype ne{
+mark(Object length isn't an integer.)//error exec
+}if
+}bind def
+/ResolveD
+{
+3 copy pop get
+dup//IsObjRef exec{
+//PDFR_DEBUG{
+(Resolving )print//PrintReference exec
+}if
+exec
+exch exec
+}{
+exch pop
+}ifelse
+dup 4 1 roll
+put
+}bind def
+/ResolveA
+{2 index 2 index get
+dup//IsObjRef exec{
+exec
+exch exec
+3 copy put
+}{
+exch pop
+}ifelse
+exch pop exch pop
+}bind def
+/StoreStream
+{
+dup//PDFReader exch/CurrentObject exch put
+//PDFReader/BlockCount 0 put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(StoreStream Length = )print dup =
+}if
+currentfile exch()/SubFileDecode filter
+{dup//BlockBuffer readstring{
+//StoreBlock exec
+}{
+//StoreBlock exec
+exit
+}ifelse
+}loop
+pop
+//PDFReader/CurrentObject null put
+//PDFR_DEBUG{
+(StoreStream end.)=
+}if
+}bind def
+/MakeStreamDumper
+{
+//PDFR_DEBUG{
+(MakeStreamDumper beg.)=
+}if
+currentglobal exch dup gcheck setglobal
+[exch
+1 dict dup/c 0 put exch
+1024 string
+{readstring pop
+(StreamDumper )print 1 index/c get =string cvs print( )print
+dup length =string cvs print( <)print dup print(>\n)print
+dup length
+3 2 roll
+dup/c get
+3 2 roll
+add/c exch put
+}/exec load
+]
+cvx 0()/SubFileDecode filter
+exch setglobal
+//PDFR_DEBUG{
+(MakeStreamDumper end.)=
+}if
+}bind def
+/ShortFilterNames 15 dict begin
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/AppendFilters
+{
+//PDFR_DEBUG{
+(AppendFilters beg.)=
+}if
+dup 3 1 roll
+/Filter//knownget exec{
+dup type/nametype eq{
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+2 index/DecodeParms//knownget exec{
+exch
+}if
+filter
+}{
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+3 1 roll
+4 index/DecodeParms//knownget exec{
+exch get
+}{
+pop null
+}ifelse
+dup null eq{
+pop 3 1 roll filter exch
+}{
+3 1 roll
+4 1 roll filter exch
+}ifelse
+}for
+pop
+}ifelse
+//PDFR_DEBUG//PDFR_DUMP and{
+//MakeStreamDumper exec
+}if
+}if
+exch pop
+//PDFR_DEBUG{
+(AppendFilters end.)=
+}if
+}bind def
+/ExecuteStream
+{
+dup//PDFReader exch/CurrentObject exch put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(ExecuteStream id = )print 2 index =only( Length = )print dup =
+}if
+//PDFReader/InitialGraphicState get
+//PDFReader/GraphicState get copy pop
+//PDFReader/Operators get begin
+currentfile exch ()/SubFileDecode filter
+1 index//AppendFilters exec
+cvx mark exch
+exec
+counttomark 0 ne{
+mark(Data left on ostack after an immediate stream execution.)//error exec
+}if
+cleartomark
+end
+//PDFR_DEBUG{
+(ExecuteStream end.)=
+}if
+//PDFReader/CurrentObject null put
+dup/IsPage known{
+dup/Context get/NumCopies//knownget exec{
+1 sub{
+copypage
+}repeat
+}if
+EPS2Write not {showpage} if
+}if
+}bind def
+/stream
+{
+//PDFR_DEBUG{
+1 index =only( stream)=
+}if
+1 index GetObject{
+dup xcheck{
+exec
+1 index null PutObject
+}{
+pop
+}ifelse
+}if
+dup/ImmediateExec known{
+dup/GlobalExec//knownget exec{
+currentglobal 4 1 roll
+setglobal
+//ExecuteStream exec
+3 2 roll setglobal
+}{
+//ExecuteStream exec
+}ifelse
+}{
+//StoreStream exec
+}ifelse
+dup/.CleanResources//knownget exec{
+/All eq{
+//CleanAllResources exec
+}if
+}if
+}bind def
+/HookFont
+{
+//PDFR_DEBUG{
+(Loaded the font )print dup/FontName get =
+}if
+{
+dup/FontFileType get dup/Type1 eq exch/MMType1 eq or{
+dup/FontName get
+//PDFReader/RemoveFontNamePrefix get exec
+findfont
+exit
+}if
+dup/FontFileType get/TrueType eq{
+//PDFReader/MakeType42 get exec
+//PDFR_DEBUG{
+(Font dict <<)=
+dup{
+1 index/sfnts eq{
+exch pop
+(/sfnts [)print
+{
+(-string\()print length//=only exec(\)- )=
+}forall
+(])=
+}{
+exch//=only exec( )print ==
+}ifelse
+}forall
+(>>)=
+}if
+dup/FontName get exch definefont
+exit
+}if
+mark(FontHook has no proc for )2 index/FontFileType get//error exec
+}loop
+/Font exch put
+}bind def
+/endstream
+{
+}bind def
+/xref
+{
+//PDFR_DEBUG{
+(xref)=
+//PDFR_DUMP{
+//PDFReader/ObjectRegistry get ==
+}if
+}if
+end
+count 0 ne{
+mark(Excessive data on estack at the end of the interpretation.)//error exec
+}if
+currentfile 1(%%EOF)/SubFileDecode filter
+flushfile
+cleardictstack
+}bind def
+/ResolveDict
+{dup{
+pop 1 index exch
+//DoNothing//ResolveD exec
+pop
+}forall
+pop
+}bind def
+/SetupPageView
+{
+//PDFR_DEBUG{
+(SetupPageView beg)=
+}if
+//DSC_OPDFREAD not{
+//GraphicState/InitialMatrix get setmatrix
+}if
+/MediaBox get aload pop
+3 index neg 3 index neg translate
+3 -1 roll sub 3 1 roll exch sub exch
+userdict/.HWMargins//knownget exec{
+aload pop
+}{
+currentpagedevice/.HWMargins//knownget exec{
+aload pop
+}{
+0 0 0 0
+}ifelse
+}ifelse
+currentpagedevice/PageSize get aload pop
+3 -1 roll sub 3 1 roll exch sub exch
+exch 3 index sub exch 3 index sub
+//SetPageSize{
+//PDFR_DEBUG{
+(Setting page size to )print 1 index//=only exec( )print dup =
+}if
+pop pop 3 index 3 index 2 copy
+currentglobal false setglobal 3 1 roll
+currentpagedevice dup /PageSize known{
+/PageSize get aload pop}{
+0 0}ifelse
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and{
+//PDFR_DEBUG{(PageSize matches request) == flush}if
+pop pop}{
+/MediaRequested where {
+//PDFR_DEBUG{(MediaRequested is true, check against new request) == flush}if
+/MediaRequested get aload pop
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and
+{//PDFR_DEBUG{(MediaRequested same as current request, ignore) == flush}if pop pop false}
+{//PDFR_DEBUG{(MediaRequested different to current request) == flush}if true}ifelse
+}{
+//PDFR_DEBUG{(No MediaRequested yet) == flush}if
+true
+}ifelse
+{
+//PDFR_DEBUG{(Setting pagesize) == flush}if
+2 array astore
+dup /MediaRequested exch def
+<< exch /PageSize exch >> setpagedevice
+}if
+}ifelse
+userdict/PDFR_InitialGS gstate put
+setglobal
+}if
+//RotatePages{
+2 copy gt 6 index 6 index gt ne{
+1 index 5 index le 1 index 5 index le and not
+}{
+false
+}ifelse
+}{
+false
+}ifelse
+{//CenterPages{
+//PDFR_DEBUG{
+(Rotating page, and then centering it)==
+}if
+90 rotate
+0 5 index neg translate
+5 index 1 index exch sub 2 div
+2 index 6 index sub 2 div neg
+translate
+}{
+//FitPages{
+1 index 5 index div 1 index 7 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+90 rotate
+0 5 index neg translate
+}ifelse
+}{
+//CenterPages{
+//PDFR_DEBUG{
+(Ccentering page)==
+}if
+1 index 6 index sub 2 div
+1 index 6 index sub 2 div
+translate
+}{
+//FitPages{
+1 index 6 index div 1 index 6 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+}ifelse
+}ifelse
+pop pop
+translate
+pop pop
+//PDFR_DEBUG{
+(SetupPageView end)=
+}if
+}bind def
+/PageContentsDaemon
+{
+//PDFR_DEBUG{
+(Executing PageContentsDaemon for )print 2 index =
+}if
+1 index exch/Context exch put
+dup/ImmediateExec true put
+dup/IsPage true put
+SetPageSize {dup/Context get//SetupPageView exec}if
+}bind def
+/FontFileDaemon
+{
+//PDFR_DEBUG{
+(Executing FontFileDaemon for )print 2 index =
+}if
+dup/FontFileType get
+2 index exch
+dup//ReadFontProcs exch//knownget exec{
+exch pop exec
+}{
+mark(FontFile reader for )2 index( isn't implemented yet.)//error exec
+}ifelse
+//PDFR_DEBUG{
+(FontFileDaemon end)=
+}if
+pop
+}bind def
+/FontDescriptorDaemon
+{
+//PDFR_DEBUG{
+(Executing FontDescriptorDaemon for )print 2 index =
+}if
+2 copy/FontResource exch put
+/Subtype get 1 index exch/FontFileType exch put
+}bind def
+/UnPDFEscape{
+dup dup length string cvs
+dup(#)search{
+{
+pop
+(16#--)2 index 0 2 getinterval
+1 index 3 2 getinterval copy pop
+cvi
+0 exch put
+0
+1 index 2 1 index length 2 sub getinterval
+3 copy putinterval
+length
+3 copy exch put
+getinterval
+(#)search not{
+pop exit
+}if
+}loop
+(\0)search pop exch pop exch pop
+cvn
+exch pop
+}{
+pop pop
+}ifelse
+}bind def
+/TypeDaemons<<
+/Page
+{//PDFR_DEBUG{
+(Recognized a page.)=
+}if
+dup/Contents//knownget exec{
+0 get//DoNothing exch
+[
+3 index//PageContentsDaemon/exec load
+]cvx
+//Register exec
+}{
+(fixme: page with no Contents won't be printed.)=
+}ifelse
+}bind
+/FontDescriptor
+{//PDFR_DEBUG{
+(Recognized a font descriptor.)=
+}if
+dup/FontName//knownget exec{
+1 index/FontName 3 -1 roll//UnPDFEscape exec put
+}if
+dup dup/FontFile known{/FontFile}{/FontFile2}ifelse
+//knownget exec{
+0 get//DoNothing exch
+[
+3 index//FontFileDaemon/exec load
+]cvx
+//Register exec
+}{
+(Font descriptor )print 1 index =only( has no FontFile.)=
+}ifelse
+}bind
+/Font
+{//PDFR_DEBUG{
+(Recognized a font resource.)=
+}if
+dup/BaseFont//knownget exec{
+//UnPDFEscape exec 2 copy/BaseFont exch put
+//PDFReader/RemoveFontNamePrefix get exec
+currentglobal exch
+dup/Font resourcestatus{
+pop pop
+//PDFReader/GetInstalledFont get exec pop
+}{
+pop
+}ifelse
+setglobal
+}if
+dup/FontDescriptor//knownget exec{
+0 get
+dup//IsRegistered exec{
+//PDFR_DEBUG{
+(already registered )print dup =
+}if
+pop
+}{
+//DoNothing exch
+[
+3 index//FontDescriptorDaemon/exec load
+]cvx
+//Register exec
+}ifelse
+}if
+}bind
+>>def
+/MakeStreamReader
+{dup
+[
+exch
+//PDFR_DEBUG{
+(Stream proc )
+/print load
+//PDFR_STREAM{
+(<)
+/print load
+}if
+}if
+1 dict dup/i -1 put
+/dup load
+/i
+/get load
+1
+/add load
+/dup load
+3
+1
+/roll load
+/i
+/exch load
+/put load
+//knownget
+/exec load
+/not load
+{()}
+/if load
+//PDFR_DEBUG{
+//PDFR_STREAM{
+/dup load
+/print load
+(>)
+/print load
+}if
+( end of stream proc.\n)
+/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Stream reader )print dup ==
+}if
+0()/SubFileDecode filter
+exch//AppendFilters exec
+}bind def
+/RunDelayedStream
+{
+//GraphicState/InitialTextMatrix get
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get
+2 copy get null eq{
+2 copy currentglobal true setglobal matrix exch setglobal put
+}if
+get copy pop
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 add put
+//MakeStreamReader exec
+mark exch
+cvx exec
+counttomark 0 ne{
+mark(Data left on ostack after a delayed stream execution.)//error exec
+}if
+cleartomark
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 sub put
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get get
+//GraphicState/InitialTextMatrix get
+copy pop
+}bind def
+//ReadFontProcs begin
+/Type1
+{//PDFR_DEBUG{
+(ReadFontProcs.Type1)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+dup/ImmediateExec true put
+/GlobalExec true put
+}bind def
+/MMType1//Type1 def
+/TrueType
+{//PDFR_DEBUG{
+(ReadFontProcs.TrueType)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+pop
+}bind def
+end
+/.opdloadttfontdict 50 dict def
+.opdloadttfontdict begin
+/maxstring 65400 def
+end
+/.InsertionSort
+{
+/CompareProc exch def
+/Array exch def
+1 1 Array length 1 sub
+{
+/Ix exch def
+/Value1 Array Ix get def
+/Jx Ix 1 sub def
+{
+Jx 0 lt{
+exit
+}if
+/Value2 Array Jx get def
+Value1 Value2 CompareProc{
+exit
+}if
+Array Jx 1 add Value2 put
+/Jx Jx 1 sub def
+}loop
+Array Jx 1 add Value1 put
+}for
+Array
+}bind def
+/putu16{
+3 copy -8 bitshift put
+exch 1 add exch 16#ff and put
+}bind def
+/putu32{
+3 copy -16 bitshift putu16
+exch 2 add exch 16#ffff and putu16
+}bind def
+/.readtable{
+dup dup 1 and add string
+dup 0 4 -1 roll getinterval
+3 -1 roll exch
+dup()ne{readstring}if pop pop
+}bind def
+/.readbigtable{
+dup maxstring lt{
+.readtable
+}{
+currentuserparams/VMReclaim get -2 vmreclaim
+[4 2 roll{
+dup maxstring le{exit}if
+1 index maxstring string readstring pop 3 1 roll maxstring sub
+}loop .readtable]
+exch vmreclaim
+}ifelse
+}bind def
+/ReadTTF
+{
+.opdloadttfontdict begin
+/TTFontFile exch def
+/TableDir TTFontFile 12 string readstring pop def
+/tables TTFontFile TableDir 4 getu16 16 mul string readstring pop def
+/tabarray tables length 16 idiv array def
+TableDir 0 4 getinterval(ttcf)eq{
+QUIET not{(Can't handle TrueType font Collections.)=}if
+/.loadttfonttables cvx/invalidfont signalerror
+}{
+0 16 tables length 1 sub{
+dup
+tables exch 16 getinterval
+exch 16 div cvi exch
+tabarray 3 1 roll put
+}for
+}ifelse
+tabarray{exch 8 getu32 exch 8 getu32 gt}.InsertionSort pop
+/Read TableDir length tables length add def
+/tabs[
+tabarray{
+dup 8 getu32
+Read sub
+dup 0 gt{
+dup string TTFontFile exch readstring pop pop
+Read add/Read exch def
+}{
+pop
+}ifelse
+12 getu32
+dup Read add
+/Read exch def
+TTFontFile exch .readbigtable
+}forall
+]def
+end
+}bind def
+/GetLocaType
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(head)eq{
+tabs exch get
+50 gets16
+/LocaType exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/GetNumGlyphs
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(maxp)eq{
+tabs exch get
+4 getu16
+/NumGlyphs exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/StringToLoca
+{
+/LocaIndex exch def
+/StringOffset 0 def
+{
+dup length StringOffset gt{
+dup
+LocaType 1 eq{
+StringOffset getu32
+LocaArray LocaIndex 3 -1 roll put
+/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 4 add
+def
+}{
+StringOffset getu16 2 mul
+LocaArray length LocaIndex gt {LocaArray LocaIndex 3 -1 roll put}{pop}ifelse/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 2 add
+def
+}ifelse
+}{
+pop
+LocaIndex
+exit
+}ifelse
+}loop
+}bind def
+/GetSortedLoca
+{
+NumGlyphs 1 add array/LocaArray exch def
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(loca)eq{
+tabs exch get
+exit
+}{
+pop
+}ifelse
+}for
+dup type/stringtype eq{
+0 StringToLoca pop
+}{
+0 exch
+{
+exch StringToLoca
+}forall
+pop
+}ifelse
+LocaArray{gt}.InsertionSort pop
+}bind def
+/GetWorkingString
+{
+WorkString 0
+GlyfArray GlyfStringIndex get
+putinterval
+/WorkBytes GlyfArray GlyfStringIndex get length def
+/GlyfStringIndex GlyfStringIndex 1 add def
+}bind def
+/GetWorkingBytes
+{
+/BytesToRead exch def
+WorkString 0 BytesToRead getinterval
+dup length string copy
+WorkString BytesToRead WorkBytes BytesToRead sub getinterval
+dup length string copy
+WorkString 0 3 -1 roll putinterval
+/WorkBytes WorkBytes BytesToRead sub def
+}bind def
+/GetGlyfBytes
+{
+/ToRead exch def
+WorkBytes 0 eq{
+GetWorkingString
+}if
+WorkBytes ToRead ge{
+ToRead string dup 0
+ToRead GetWorkingBytes putinterval
+}{
+ToRead string
+dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+ToRead WorkBytes sub
+GetWorkingString
+GetWorkingBytes
+putinterval
+}ifelse
+}bind def
+/SplitGlyf
+{
+/GlyfArray exch def
+/DestArray GlyfArray length 2 mul array def
+/DestArrayIndex 0 def
+/LastLoca 0 def
+/NextLocaIndex 0 def
+/LastLocaIndex 0 def
+/GlyfStringIndex 0 def
+/WorkString maxstring string def
+/WorkBytes 0 def
+{
+LocaArray NextLocaIndex get
+LastLoca sub maxstring gt
+{
+LocaArray LastLocaIndex get LastLoca sub
+GetGlyfBytes
+DestArray DestArrayIndex 3 -1 roll put
+/DestArrayIndex DestArrayIndex 1 add def
+LocaArray LastLocaIndex get/LastLoca exch def
+}{
+/LastLocaIndex NextLocaIndex def
+/NextLocaIndex NextLocaIndex 1 add def
+NextLocaIndex NumGlyphs gt
+{
+WorkBytes
+GlyfStringIndex GlyfArray length lt{
+GlyfArray GlyfStringIndex get length
+add string dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+GetWorkingString
+WorkString 0 WorkBytes getinterval
+putinterval
+}{
+pop
+WorkString 0 WorkBytes getinterval
+}ifelse
+dup length string copy
+DestArray DestArrayIndex 3 -1 roll put
+exit
+}if
+}ifelse
+}loop
+DestArray
+}bind def
+/ProcessTTData
+{
+.opdloadttfontdict begin
+0 1 tabarray length 1 sub{
+/ix exch def
+tabarray ix get
+12 getu32 dup maxstring le{
+dup 4 mod 0 ne{
+4 div cvi 1 add 4 mul string/newstring exch def
+/oldstring tabs ix get def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix newstring put
+}{
+pop
+}ifelse
+}{
+dup 4 mod 0 ne{
+dup maxstring idiv maxstring mul sub
+4 idiv 1 add 4 mul string/newstring exch def
+tabs ix get
+dup length 1 sub dup/iy exch def get/oldstring exch def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix get iy newstring put
+}{
+pop
+}ifelse
+}ifelse
+}for
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+dup 12 getu32 maxstring gt{
+0 4 getinterval dup(glyf)eq{
+pop
+GetLocaType
+GetNumGlyphs
+GetSortedLoca
+dup tabs exch get
+SplitGlyf
+tabs 3 1 roll put
+}{
+(Warning, table )print print( > 64Kb\n)print
+pop
+}ifelse
+}{
+pop
+pop
+}ifelse
+}for
+end
+}bind def
+/Makesfnts
+{
+.opdloadttfontdict begin
+0
+tabs{
+dup type/stringtype eq{
+pop
+1 add
+}{
+{
+type/stringtype eq{
+1 add
+}if
+}forall
+}ifelse
+}forall
+1 add
+/TTOffset
+TableDir length
+tabarray length 16 mul add
+def
+0
+tabarray{
+exch dup 1 add
+3 1 roll
+dup
+tabs exch get
+dup type/stringtype eq{
+length
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}{
+0 exch
+{
+dup type/stringtype eq{
+length add
+}{
+pop
+}ifelse
+}forall
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}ifelse
+}forall
+pop
+array
+dup 0
+TableDir length
+tables length add
+string
+dup 0 TableDir putinterval
+dup 12 tables putinterval
+put
+dup
+/ix 1 def
+tabs{
+dup type/stringtype eq{
+ix exch
+put dup
+/ix ix 1 add def
+}{
+{
+dup type/stringtype eq{
+ix exch put dup
+/ix ix 1 add def
+}{
+pop
+}ifelse
+}forall
+}ifelse
+}forall
+pop
+end
+}bind def
+/MakeType42
+{
+//PDFR_DEBUG{
+(MakeType42 beg)=
+}if
+10 dict begin
+/FontName 1 index/FontName get def
+/FontType 42 def
+/FontMatrix[1 0 0 1 0 0]def
+/FontBBox 1 index/FontBBox get def
+dup/FontResource get
+dup/Encoding known{
+//PDFReader/ObtainEncoding get exec
+/Encoding get
+}{
+pop null
+}ifelse
+/PDFEncoding exch def
+/CharStrings 2 index//PDFReader/MakeTTCharStrings get exec def
+/sfnts 2 index//MakeStreamReader exec
+ReadTTF
+ProcessTTData
+Makesfnts
+def
+/Encoding StandardEncoding def
+/PaintType 0 def
+currentdict end
+//PDFR_DEBUG{
+(MakeType42 end)=
+}if
+}bind def
+/GetInstalledFont
+{
+dup//InstalledFonts exch knownget{
+exch pop
+}{
+dup findfont dup 3 1 roll
+//InstalledFonts 3 1 roll put
+}ifelse
+}bind def
+/RemoveFontNamePrefix
+{//=string cvs true
+0 1 5{
+2 index exch get//IsUpper exec not{
+pop false exit
+}if
+}for
+{(+)search{
+pop pop
+}if
+}if
+cvn
+}bind def
+/CheckFont
+{dup/Type get/Font ne{
+mark(Resource )3 index( must have /Type/Font .)//error exec
+}if
+}bind def
+/CheckEncoding
+{dup type/nametype ne{
+dup/Type get/Encoding ne{
+mark(Resource )3 index( must have /Type/Encoding .)//error exec
+}if
+}if
+}bind def
+/ObtainEncoding
+{dup/Encoding known{
+dup dup/Encoding//CheckEncoding//ResolveD exec
+dup type dup/arraytype eq exch/packedarraytype eq or{
+pop pop
+}{
+dup type/nametype eq{
+/Encoding findresource
+}{
+dup/BaseEncoding//knownget exec not{
+/StandardEncoding
+}if
+/Encoding findresource
+exch
+/Differences//knownget exec{
+exch dup length array copy exch
+0 exch
+{
+dup type/integertype eq{
+exch pop
+}{
+3 copy put pop
+1 add
+}ifelse
+}forall
+pop
+}if
+}ifelse
+/Encoding exch put
+}ifelse
+}{
+dup/Encoding/StandardEncoding/Encoding findresource put
+}ifelse
+}bind def
+/ObtainMetrics
+{dup/Widths//knownget exec{
+1 index/Encoding get
+256 dict
+3 index/Subtype get/TrueType eq{
+1000
+}{
+1
+}ifelse
+4 index/MissingWidth//knownget exec not{
+0
+}if
+5 index/FirstChar//knownget exec not{
+0
+}if
+6 5 roll
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+exch 3 index add
+7 index exch get
+dup dup null ne exch/.notdef ne and{
+6 index 3 1 roll exch
+6 index div
+3 copy pop//knownget exec{
+0 eq
+}{
+true
+}ifelse
+{put
+}{
+pop pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}for
+pop pop pop pop exch pop
+1 index exch/Metrics exch put
+}{
+dup/MissingWidth//knownget exec{
+256 dict
+2 index/Encoding get{
+dup null ne{
+3 copy 3 2 roll put
+}if
+pop
+}forall
+exch pop
+1 index exch/Metrics exch put
+}if
+}ifelse
+}bind def
+/NotDef
+{
+FontMatrix aload pop pop pop exch pop exch pop
+1 exch div exch
+1 exch div exch
+1 index 0 setcharwidth
+0 setlinewidth
+0 0 moveto
+2 copy rlineto
+1 index 0 rlineto
+neg exch neg exch rlineto
+closepath stroke
+}bind def
+/SaveResourcesToStack{[//PDFReader/OldResources known{//PDFReader/OldResources get}{null}ifelse
+//PDFReader/CurrentObject get/Context get/Resources get]//PDFReader/OldResources 3 -1 roll put}bind def
+/RestoreResourcesFromStack{//PDFReader/OldResources get dup
+0 get//PDFReader/OldResources 3 -1 roll put
+1 get//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put} bind def
+/BuildChar
+{//PDFR_DEBUG{
+(BuildChar )print dup//=only exec( )print
+}if
+exch begin
+Encoding exch get
+//PDFR_DEBUG{
+dup =
+}if
+dup null eq{
+pop//NotDef exec
+}{
+CharProcs exch//knownget exec{currentfont/Font get/Resources//knownget exec{exec SaveResourcesToStack//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put//RunDelayedStream exec RestoreResourcesFromStack}{//RunDelayedStream exec}ifelse}{
+//NotDef exec
+}ifelse
+}ifelse
+end
+}bind def
+/printdict
+{(<<)=
+{exch = ==}forall
+(>>)=
+}bind def
+/printfont
+{
+dup{
+exch dup =
+dup/Encoding eq{
+pop =
+}{
+dup/FontInfo eq exch/Private eq or{
+//printdict exec
+}{
+==
+}ifelse
+}ifelse
+}forall
+}bind def
+/ScaleMetrics
+{1 index{
+2 index div
+3 index
+3 1 roll put
+}forall
+pop
+}bind def
+/ResolveAndSetFontAux
+{exch dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Font//DoNothing//ResolveD exec
+exch//CheckFont//ResolveD exec
+dup/Font//knownget exec{
+exch pop exch pop
+}{
+{
+dup/Subtype get dup dup/Type1 eq exch/TrueType eq or exch/MMType1 eq or{
+exch pop
+dup/BaseFont get
+//RemoveFontNamePrefix exec
+//PDFR_DEBUG{
+(Font )print dup =
+}if
+1 index/FontDescriptor known{
+//PDFR_DEBUG{
+(Font from a font descriptor.)=
+}if
+1 index
+/FontDescriptor//DoNothing//ResolveD exec
+/Font//knownget exec{
+exch pop
+}{
+//PDFR_DEBUG{
+(Font descriptor has no Font resolved.)=
+}if
+//GetInstalledFont exec
+}ifelse
+}{
+//GetInstalledFont exec
+}ifelse
+exch
+dup/Encoding known not{
+1 index/Encoding get 1 index exch/Encoding exch put
+}if
+//ObtainEncoding exec
+//ObtainMetrics exec
+exch
+dup length dict copy
+dup 2 index/Encoding get
+/Encoding exch put
+1 index/Metrics//knownget exec{
+2 index/Subtype get/TrueType ne{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+0.001 div
+//ScaleMetrics exec
+}{
+1 index/sfnts known not{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+//ScaleMetrics exec
+}if
+}ifelse
+1 index exch/Metrics exch put
+}if
+1 index/BaseFont get
+exch
+dup/FID undef
+dup/UniqueID undef
+definefont
+dup 3 1 roll
+/Font exch put
+exit
+}if
+dup/Subtype get/Type3 eq{
+//ObtainEncoding exec
+2 copy exch/FontName exch put
+dup/CharProcs get//ResolveDict exec
+dup/FontType 3 put
+dup/BuildChar//BuildChar put
+dup dup/Font exch put
+dup 3 1 roll
+definefont
+2 copy ne{
+2 copy/Font exch put
+}if
+exch pop
+exit
+}if
+dup/Subtype get/Type0 eq{
+}if
+dup/Subtype get/CIDFontType0 eq{
+}if
+dup/Subtype get/CIDFontType2 eq{
+}if
+mark(Unknown font type )2 index/Subtype get//error exec
+}loop
+}ifelse
+exch scalefont setfont
+}bind def
+/ResolveAndSetFont
+{
+//ResolveAndSetFontAux exec
+}bind def
+/.knownget
+{2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/.min
+{2 copy lt{
+exch
+}if
+pop
+}bind def
+/.max
+{2 copy gt{
+exch
+}if
+pop
+}bind def
+/.dicttomark
+{>>
+}bind def
+/getu16{
+2 copy get 8 bitshift 3 1 roll 1 add get add
+}bind def
+/gets16{
+getu16 16#8000 xor 16#8000 sub
+}bind def
+/getu32{
+2 copy getu16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/gets32{
+2 copy gets16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/cmapformats mark
+0{
+6 256 getinterval{}forall 256 packedarray
+}bind
+2{
+/sHK_sz 2 def
+/sH_sz 8 def
+dup 2 getu16/cmapf2_tblen exch def
+dup 4 getu16/cmapf2_lang exch def
+dup 6 256 sHK_sz mul getinterval/sHKs exch def
+0
+0 1 255{
+sHKs exch
+2 mul getu16
+1 index
+1 index
+lt{exch}if pop
+}for
+/sH_len exch def
+dup 6 256 sHK_sz mul add
+cmapf2_tblen 1 index sub getinterval
+/sH_gIA exch def
+/cmapf2_glyph_array 65535 array def
+/.cmapf2_putGID{
+/cmapf2_ch cmapf2_ch_hi 8 bitshift cmapf2_ch_lo add def
+firstCode cmapf2_ch_lo le
+cmapf2_ch_lo firstCode entryCount add lt
+and{
+sH_offset idRangeOffset add
+cmapf2_ch_lo firstCode sub 2 mul
+add 6 add
+sH_gIA exch getu16
+dup 0 gt{
+idDelta add
+cmapf2_glyph_array exch cmapf2_ch exch put
+}{
+pop
+}ifelse
+}{
+}ifelse
+}def
+16#00 1 16#ff{
+/cmapf2_ch_hi exch def
+sHKs cmapf2_ch_hi sHK_sz mul getu16
+/sH_offset exch def
+sH_gIA sH_offset sH_sz getinterval
+dup 0 getu16/firstCode exch def
+dup 2 getu16/entryCount exch def
+dup 4 gets16/idDelta exch def
+dup 6 getu16/idRangeOffset exch def
+pop
+sH_offset 0 eq{
+/cmapf2_ch_lo cmapf2_ch_hi def
+/cmapf2_ch_hi 0 def
+.cmapf2_putGID
+}{
+16#00 1 16#ff{
+/cmapf2_ch_lo exch def
+.cmapf2_putGID
+}for
+}ifelse
+}for
+pop
+0 1 cmapf2_glyph_array length 1 sub{
+dup cmapf2_glyph_array exch get
+null eq{cmapf2_glyph_array exch 0 put}{pop}ifelse
+}for
+cmapf2_glyph_array
+}bind
+4{
+/etab exch def
+/nseg2 etab 6 getu16 def
+14/endc etab 2 index nseg2 getinterval def
+2 add
+nseg2 add/startc etab 2 index nseg2 getinterval def
+nseg2 add/iddelta etab 2 index nseg2 getinterval def
+nseg2 add/idroff etab 2 index nseg2 getinterval def
+pop
+/firstcode startc 0 getu16 16#ff00 and dup 16#f000 ne{pop 0}if def
+/lastcode firstcode def
+/striptopbyte false def
+/putglyph{
+glyphs code 3 -1 roll put/code code 1 add def
+}bind def
+/numcodes 0 def/glyphs 0 0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+ecode lastcode gt {
+/lastcode ecode def
+}if
+}for pop
+firstcode 16#f000 ge lastcode firstcode sub 255 le and {
+lastcode 255 and
+/striptopbyte true def
+} {
+lastcode
+}ifelse
+1 add
+array def
+glyphs length 1024 ge{
+.array1024z 0 1024 glyphs length 1023 sub{glyphs exch 2 index putinterval}for
+glyphs dup length 1024 sub 3 -1 roll
+putinterval
+}{
+0 1 glyphs length 1 sub{glyphs exch 0 put}for
+}ifelse
+/numcodes 0 def/code 0 def
+0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+numcodes scode firstcode sub
+exch sub 0 .max dup/code exch code exch add def
+ecode scode sub 1 add add numcodes add/numcodes exch def
+/delta iddelta i2 gets16 def
+TTFDEBUG{
+(scode=)print scode =only
+( ecode=)print ecode =only
+( delta=)print delta =only
+( droff=)print idroff i2 getu16 =
+}if
+idroff i2 getu16 dup 0 eq{
+pop scode delta add 65535 and 1 ecode delta add 65535 and
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+{putglyph}for
+}{
+/gloff exch 14 nseg2 3 mul add 2 add i2 add add def
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+0 1 ecode scode sub{
+2 mul gloff add etab exch getu16
+dup 0 ne{delta add 65535 and}if putglyph
+}for
+}ifelse
+}for glyphs/glyphs null def
+}bind
+6{
+dup 6 getu16/firstcode exch def dup 8 getu16/ng exch def
+firstcode ng add array
+0 1 firstcode 1 sub{2 copy 0 put pop}for
+dup firstcode ng getinterval
+0 1 ng 1 sub{
+dup 2 mul 10 add 4 index exch getu16 3 copy put pop pop
+}for pop exch pop
+}bind
+.dicttomark readonly def
+/cmaparray{
+dup 0 getu16 cmapformats exch .knownget{
+TTFDEBUG{
+(cmap: format )print 1 index 0 getu16 = flush
+}if exec
+}{
+(Can't handle format )print 0 getu16 = flush
+0 1 255{}for 256 packedarray
+}ifelse
+TTFDEBUG{
+(cmap: length=)print dup length = dup ==
+}if
+}bind def
+/postremap mark
+/Cdot/Cdotaccent
+/Edot/Edotaccent
+/Eoverdot/Edotaccent
+/Gdot/Gdotaccent
+/Ldot/Ldotaccent
+/Zdot/Zdotaccent
+/cdot/cdotaccent
+/edot/edotaccent
+/eoverdot/edotaccent
+/gdot/gdotaccent
+/ldot/ldotaccent
+/zdot/zdotaccent
+.dicttomark readonly def
+/get_from_stringarray
+{1 index type/stringtype eq{
+get
+}{
+exch{
+2 copy length ge{
+length sub
+}{
+exch get exit
+}ifelse
+}forall
+}ifelse
+}bind def
+/getinterval_from_stringarray
+{
+2 index type/stringtype eq{
+getinterval
+}{
+string exch 0
+4 3 roll{
+dup length
+dup 4 index lt{
+3 index exch sub
+exch pop 3 1 roll exch pop
+}{
+dup 3 1 roll
+4 index sub
+5 index length 4 index sub
+2 copy gt{exch}if pop
+dup 3 1 roll
+5 index exch getinterval
+5 index 4 index 3 index
+getinterval
+copy pop
+exch pop add exch pop 0 exch
+dup 3 index length ge{exit}if
+}ifelse
+}forall
+pop pop
+}ifelse
+}bind def
+/string_array_size
+{dup type/stringtype eq{
+length
+}{
+0 exch{length add}forall
+}ifelse
+}bind def
+/postformats mark
+16#00010000{
+pop MacGlyphEncoding
+}
+16#00020000{
+dup dup type/arraytype eq{0 get}if length 36 lt{
+TTFDEBUG{(post format 2.0 invalid.)= flush}if
+pop[]
+}{
+/postglyphs exch def
+/post_first postglyphs dup type/arraytype eq{0 get}if def
+post_first 32 getu16/numglyphs exch def
+/glyphnames numglyphs 2 mul 34 add def
+/postpos glyphnames def
+/total_length postglyphs//string_array_size exec def
+numglyphs array 0 1 numglyphs 1 sub{
+postpos total_length ge{
+1 numglyphs 1 sub{1 index exch/.notdef put}for
+exit
+}if
+postglyphs postpos//get_from_stringarray exec
+postglyphs postpos 1 add 2 index//getinterval_from_stringarray exec cvn
+exch postpos add 1 add/postpos exch def
+2 index 3 1 roll
+put
+}for
+/postnames exch def
+numglyphs array 0 1 numglyphs 1 sub{
+dup 2 mul 34 add postglyphs exch 2//getinterval_from_stringarray exec
+dup 0 get 8 bitshift exch 1 get add dup 258 lt{
+MacGlyphEncoding exch get
+}{
+dup 32768 ge{
+pop/.notdef
+}{
+258 sub dup postnames length ge{
+TTFDEBUG{(   *** warning: glyph index past end of 'post' table)= flush}if
+pop
+exit
+}if
+postnames exch get
+postremap 1 index .knownget{exch pop}if
+}ifelse
+}ifelse
+2 index 3 1 roll put
+}for
+}
+ifelse
+}bind
+16#00030000{
+pop[]
+}bind
+.dicttomark readonly def
+/first_post_string
+{
+post dup type/arraytype eq{0 get}if
+}bind def
+/.getpost{
+/glyphencoding post null eq{
+TTFDEBUG{(post missing)= flush}if[]
+}{
+postformats first_post_string 0 getu32 .knownget{
+TTFDEBUG{
+(post: format )print
+first_post_string
+dup 0 getu16 =only(,)print 2 getu16 = flush
+}if
+post exch exec
+}{
+TTFDEBUG{(post: unknown format )print post 0 getu32 = flush}if[]
+}ifelse
+}ifelse def
+}bind def
+/TTParser<<
+/Pos 0
+/post null
+>>def
+/readu8
+{read not{
+mark(Insufficient data in the stream.)//error exec
+}if
+}bind def
+/readu16
+{dup//readu8 exec 8 bitshift exch//readu8 exec or
+}bind def
+/reads16
+{//readu16 exec 16#8000 xor 16#8000 sub
+}bind def
+/readu32
+{dup//readu16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/reads32
+{dup//reads16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/SkipToPosition
+{dup//TTParser/Pos get
+exch//TTParser exch/Pos exch put
+sub
+//PDFR_DEBUG{
+(Skipping )print dup//=only exec( bytes.)=
+}if
+dup 0 eq{
+pop pop
+}{
+dup 3 1 roll
+()/SubFileDecode filter
+exch
+{1 index//BlockBuffer readstring pop length
+dup 0 eq{pop exch pop exit}if
+sub
+}loop
+0 ne{
+mark(Insufficient data in the stream for SkipToPosition.)//error exec
+}if
+}ifelse
+}bind def
+/TagBuffer 4 string def
+/ParseTTTableDirectory
+{//PDFR_DEBUG{
+(ParseTTTableDirectory beg)=
+}if
+15 dict begin
+dup//readu32 exec 16#00010000 ne{
+mark(Unknown True Type version.)//error exec
+}if
+dup//readu16 exec/NumTables exch def
+dup//readu16 exec/SearchRange exch def
+dup//readu16 exec/EntrySelector exch def
+dup//readu16 exec/RangeShift exch def
+//PDFR_DEBUG{
+(NumTables = )print NumTables =
+}if
+NumTables{
+dup//TagBuffer readstring not{
+mark(Could not read TT tag.)//error exec
+}if
+cvn
+[2 index//readu32 exec pop
+2 index//readu32 exec
+3 index//readu32 exec
+]
+//PDFR_DEBUG{
+2 copy exch//=only exec( )print ==
+}if
+def
+}repeat
+pop
+//TTParser/Pos 12 NumTables 16 mul add put
+currentdict end
+//PDFR_DEBUG{
+(ParseTTTableDirectory end)=
+}if
+}bind def
+/ParseTTcmap
+{//PDFR_DEBUG{
+(ParseTTcmap beg)=
+}if
+/cmap get aload pop
+3 1 roll
+7 dict begin
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(cmap position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos get/TablePos exch def
+dup//readu16 exec pop
+dup//readu16 exec/NumEncodings exch def
+//PDFR_DEBUG{
+(NumEncodings = )print NumEncodings =
+}if
+null
+NumEncodings{
+1 index//readu32 exec
+2 index//readu32 exec
+3 array dup 3 2 roll 0 exch put
+2 index null ne{
+dup 0 get 3 index 0 get sub
+3 index exch 1 exch put
+}if
+dup 4 3 roll pop 3 1 roll
+def
+}repeat
+dup 0 get
+4 3 roll exch sub
+1 exch put
+//PDFR_DEBUG{
+currentdict{
+exch dup type/integertype eq{
+//PrintHex exec( )print ==
+}{
+pop pop
+}ifelse
+}forall
+}if
+4 NumEncodings 8 mul add/HeaderLength exch def
+//TTParser/Pos//TTParser/Pos get HeaderLength add put
+0
+NumEncodings{
+16#7FFFFFF null
+currentdict{
+1 index type/integertype eq{
+exch pop dup 0 get
+dup 5 index gt{
+dup 4 index lt{
+4 1 roll
+exch pop exch pop
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}forall
+//PDFR_DEBUG{
+(Obtaining subtable for )print dup ==
+}if
+3 2 roll pop
+3 copy pop
+TablePos add//SkipToPosition exec
+3 copy exch pop 1 get
+//TTParser/Pos//TTParser/Pos get 3 index add put
+string
+readstring not{
+mark(Can't read a cmap subtable.)//error exec
+}if
+2 exch put
+}repeat
+pop pop
+currentdict end
+//PDFR_DEBUG{
+(ParseTTcmap end)=
+}if
+}bind def
+/GetTTEncoding
+{//PDFR_DEBUG{
+(GetTTEncoding beg)=
+}if
+get
+exch pop
+2 get
+10 dict begin
+/TTFDEBUG//PDFR_DEBUG def
+//cmaparray exec
+end
+//PDFR_DEBUG{
+(GetTTEncoding end)=
+dup ==
+}if
+}bind def
+/InverseEncoding
+{
+256 dict begin
+dup length 1 sub -1 0{
+2 copy get
+exch
+1 index currentdict exch//knownget exec{
+dup type/arraytype eq{
+aload length 1 add array astore
+}{
+2 array astore
+}ifelse
+}if
+def
+}for
+pop
+currentdict end
+}bind def
+/GetMacRomanEncodingInverse
+{//PDFReader/MacRomanEncodingInverse get
+dup null eq{
+pop
+MacRomanEncoding//InverseEncoding exec
+dup//PDFReader exch/MacRomanEncodingInverse exch put
+}if
+}bind def
+/PutCharStringSingle
+{
+dup 3 index length lt{
+2 index exch get
+dup 0 ne{
+def
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/PutCharString
+{1 index type/nametype ne{
+mark(Bad charstring name)//error exec
+}if
+dup type/arraytype eq{
+{
+3 copy//PutCharStringSingle exec
+pop pop
+}forall
+pop
+}{
+//PutCharStringSingle exec
+}ifelse
+}bind def
+/ComposeCharStrings
+{
+//PDFR_DEBUG{
+(ComposeCharStrings beg)=
+}if
+1 index length 1 add dict begin
+/.notdef 0 def
+exch
+//TTParser/post get
+dup null ne{
+exch
+1 index length 1 sub -1 0{
+dup 3 index exch get exch
+dup 0 eq 2 index/.notdef eq or{
+pop pop
+}{
+def
+}ifelse
+}for
+}if
+exch pop exch
+{
+//PutCharString exec
+}forall
+pop
+currentdict end
+//PDFR_DEBUG{
+(ComposeCharStrings end)=
+}if
+}bind def
+/ParseTTpost
+{
+//PDFR_DEBUG{
+(ParseTTpost beg)=
+}if
+/post get aload pop
+3 1 roll
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(post position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos//TTParser/Pos get 4 index add put
+exch dup 65535 le{
+string
+readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}{
+[3 1 roll
+dup 16384 div floor cvi
+exch 1 index 16384 mul
+sub exch
+1 sub 0 1 3 -1 roll
+{
+1 add index
+16384 string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}for
+counttomark -2 roll
+string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+]
+}ifelse
+1 dict begin
+/post exch def
+//.getpost exec
+//TTParser/post glyphencoding put
+//PDFR_DEBUG{
+(ParseTTpost end)=
+glyphencoding ==
+}if
+end
+}bind def
+/MakeTTCharStrings
+{//MakeStreamReader exec
+dup dup//ParseTTTableDirectory exec
+//TTParser/post null put
+dup/post//knownget exec{
+0 get
+1 index/cmap get 0 get
+lt{
+2 copy//ParseTTpost exec
+//ParseTTcmap exec
+}{
+2 copy//ParseTTcmap exec
+3 1 roll
+//ParseTTpost exec
+}ifelse
+}{
+//ParseTTcmap exec
+}ifelse
+{
+dup 16#00030001 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Windows Unicode.)=
+}if
+16#00030001//GetTTEncoding exec
+AdobeGlyphList//ComposeCharStrings exec
+exit
+}if
+dup 16#00010000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Macintosh Roman.)=
+}if
+16#00010000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+dup 16#00030000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding 3.0 - not sure why Ghostscript writes it since old versions.)=
+}if
+16#00030000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+mark(True Type cmap has no useful encodings.)//error exec
+}loop
+//PDFR_DEBUG{
+(CharStrings <<)=
+dup{
+exch
+dup type/nametype eq{
+//=only exec
+}{
+==
+}ifelse
+( )print ==
+}forall
+(>>)=
+}if
+}bind def
+/ScaleVal
+{
+aload pop
+1 index sub
+3 2 roll mul add
+}bind def
+/ScaleArg
+{
+aload pop
+1 index sub
+3 1 roll
+sub exch div
+}bind def
+/ScaleArgN
+{
+dup length 2 sub -2 0{
+2
+2 index 3 1 roll getinterval
+3 2 roll
+exch//ScaleArg exec
+1 index length 2 idiv 1 add 1 roll
+}for
+pop
+}bind def
+/ComputeFunction_10
+{
+//PDFR_DEBUG{
+(ComputeFunction_10 beg )print 1 index//=only exec( stack=)print count =
+}if
+exch
+dup 1 eq{
+pop dup length 1 sub get
+}{
+1 index length 1 sub mul
+dup dup floor sub
+dup 0 eq{
+pop cvi get
+}{
+3 1 roll floor cvi
+2 getinterval
+aload pop
+2 index mul 3 2 roll 1 exch sub 3 2 roll mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_10 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/ComputeFunction_n0
+{
+//PDFR_DEBUG{
+(ComputeFunction_n0 beg N=)print dup//=only exec( stack=)print count =
+}if
+dup 0 eq{
+pop
+}{
+dup 2 add -1 roll
+dup 3 index length 1 sub ge{
+pop 1 sub
+exch dup length 1 sub get exch
+//PDFReader/ComputeFunction_n0 get exec
+}{
+dup floor cvi dup
+4 index exch get
+3 index dup
+5 add copy
+6 2 roll
+pop pop pop pop
+1 sub
+//PDFReader/ComputeFunction_n0 get exec
+3 2 roll pop
+exch
+4 3 roll exch
+4 add 2 roll 1 add
+3 2 roll exch get
+exch 1 sub
+//PDFReader/ComputeFunction_n0 get exec
+1 index mul
+3 1 roll
+1 exch sub mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_n0 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/FunctionToProc_x01
+{
+dup/Domain get exch
+dup/Data get 0 get exch
+/Size get length
+[4 1 roll
+//PDFR_DEBUG{
+{(function beg, stack =)print count//=only exec(\n)print}/exec load
+5 2 roll
+}if
+dup 1 gt{
+{mark exch
+3 add 2 roll
+//ScaleArgN exec
+counttomark dup
+3 add -2 roll
+pop exch
+//ComputeFunction_n0 exec
+}/exec load
+}{
+pop
+3 1/roll load//ScaleArg/exec load
+/exch load
+//ComputeFunction_10/exec load
+}ifelse
+//PDFR_DEBUG{
+(function end, stack =)/print load/count load//=only/exec load(\n)/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Made a procedure for the 1-result function :)=
+dup ==
+}if
+}bind def
+/FunctionProcDebugBeg
+{(FunctionProcDebugBeg )print count =
+}bind def
+/FunctionProcDebugEnd
+{(FunctionProcDebugEnd )print count =
+}bind def
+/FunctionToProc_x0n
+{
+PDFR_DEBUG{
+(FunctionToProc_x0n beg m=)print dup =
+}if
+1 index/Size get length exch
+dup 7 mul 2 add array
+PDFR_DEBUG{
+dup 0//FunctionProcDebugBeg put
+}{
+dup 0//DoNothing put
+}ifelse
+dup 1/exec load put
+dup 2 5 index/Domain get put
+2 index 1 eq{
+dup 3//ScaleArg put
+}{
+dup 3//ScaleArgN put
+}ifelse
+dup 4/exec load put
+1 index 1 sub 0 exch 1 exch{
+dup 7 mul 5 add
+1 index 4 index 1 sub ne{
+dup 3 index exch 6 index put 1 add
+dup 3 index exch/copy load put 1 add
+}if
+[
+6 index/Data get 3 index get
+6 index 1 eq{
+//ComputeFunction_10/exec load
+}{
+6 index
+//ComputeFunction_n0/exec load
+}ifelse
+]cvx
+3 index exch 2 index exch put 1 add
+2 index 1 index/exec load put 1 add
+1 index 4 index 1 sub ne{
+2 index 1 index 6 index 1 add put 1 add
+2 index 1 index 1 put 1 add
+2 index 1 index/roll load put
+}if
+pop pop
+}for
+PDFR_DEBUG{
+dup dup length 2 sub//FunctionProcDebugEnd put
+}{
+dup dup length 2 sub//DoNothing put
+}ifelse
+dup dup length 1 sub/exec load put
+cvx exch pop exch pop exch pop
+//PDFR_DEBUG{
+(Made a procedure for the n-argument function :)=
+dup ==
+}if
+PDFR_DEBUG{
+(FunctionToProc_x0n end)=
+}if
+}bind def
+/MakeTableRec
+{
+0
+exec
+}bind def
+/MakeTable
+{//PDFR_DEBUG{
+(MakeTable beg )print count =
+}if
+1 index/Size get exch
+1 sub dup
+3 1 roll
+get
+array
+1 index 0 eq{
+exch pop exch pop
+}{
+dup length 1 sub -1 0{
+3 index 3 index//MakeTableRec exec
+2 index 3 1 roll put
+}for
+exch pop exch pop
+}ifelse
+//PDFR_DEBUG{
+(MakeTable end )print count =
+}if
+}bind def
+//MakeTableRec 0//MakeTable put
+/StoreSample
+{
+1 sub
+dup 0 eq{
+pop
+}{
+-1 1{
+I exch get get
+}for
+}ifelse
+I 0 get 3 2 roll put
+}bind def
+/ReadSample32
+{
+4{
+File read not{
+mark(Insufficient data for function.)//error exec
+}if
+}repeat
+pop
+3 1 roll exch
+256 mul add 256 mul add
+//1_24_bitshift_1_sub div
+}bind def
+/ReadSample
+{
+Buffer BitsLeft BitsPerSample
+{2 copy ge{
+exit
+}if
+3 1 roll
+8 add 3 1 roll
+256 mul File read not{
+mark(Insufficient data for function.)//error exec
+}if
+add
+3 1 roll
+}loop
+sub dup
+2 index exch
+neg bitshift
+2 copy exch bitshift
+4 3 roll exch sub
+/Buffer exch def
+exch/BitsLeft exch def
+Div div
+}bind def
+/ReadSamplesRec
+{0
+exec
+}bind def
+/ReadSamples
+{
+//PDFR_DEBUG{
+(ReadSamples beg )print count =
+}if
+dup 1 eq{
+pop
+0 1 Size 0 get 1 sub{
+I exch 0 exch put
+0 1 M 1 sub{
+dup Range exch 2 mul 2 getinterval
+//PDFR_DEBUG{
+(Will read a sample ... )print
+}if
+BitsPerSample 32 eq{//ReadSample32}{//ReadSample}ifelse
+exec exch//ScaleVal exec
+//PDFR_DEBUG{
+(value=)print dup =
+}if
+exch Table exch get
+Size length//StoreSample exec
+}for
+}for
+}{
+1 sub
+dup Size exch get 0 exch 1 exch 1 sub{
+I exch 2 index exch put
+dup//ReadSamplesRec exec
+}for
+pop
+}ifelse
+//PDFR_DEBUG{
+(ReadSamples end )print count =
+}if
+}bind def
+//ReadSamplesRec 0//ReadSamples put
+/StreamToArray
+{//PDFR_DEBUG{
+(StreamToArray beg )print count =
+}if
+userdict/FuncDataReader get begin
+dup/BitsPerSample get/BitsPerSample exch def
+dup/Size get length/N exch def
+dup/Range get length 2 idiv/M exch def
+1 BitsPerSample bitshift 1 sub/Div exch def
+/BitsLeft 0 def
+/Buffer 0 def
+dup/Size get/Size exch def
+dup/Range get/Range exch def
+/File 1 index//MakeStreamReader exec def
+/I[N{0}repeat]def
+M array
+dup length 1 sub -1 0{
+2 index N//MakeTable exec
+2 index 3 1 roll put
+}for
+/Table exch def
+N//ReadSamples exec
+PDFR_DEBUG{
+(Table = )print Table ==
+}if
+/Data Table put
+end
+//PDFR_DEBUG{
+(StreamToArray end )print count =
+}if
+}bind def
+/FunctionToProc10
+{
+PDFR_DEBUG{
+(FunctionToProc10 beg, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+PDFR_DEBUG{
+(FunctionToProc10 end)=
+}if
+}bind def
+/FunctionToProc12
+{begin
+currentdict/C0//knownget exec{length 1 eq}{true}ifelse{
+N
+currentdict/C0//knownget exec{
+0 get
+}{
+0
+}ifelse
+currentdict/C1//knownget exec{
+0 get
+}{
+1
+}ifelse
+1 index sub
+[4 1 roll
+{
+4 2 roll
+exp mul add
+}aload pop
+]cvx
+}{
+[
+0 1 C0 length 1 sub{
+N
+C0 2 index get
+C1 3 index get
+4 3 roll pop
+1 index sub
+[/dup load
+5 2 roll
+{
+4 2 roll
+exp mul add
+exch
+}aload pop
+]cvx
+/exec load
+}for
+/pop load
+]cvx
+}ifelse
+end
+//PDFR_DEBUG{
+(FunctionType2Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc14
+{//MakeStreamReader exec cvx exec
+//PDFR_DEBUG{
+(FunctionType4Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc1
+{
+dup/FunctionType get
+{dup 0 eq{
+pop//FunctionToProc10 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc12 exec exit
+}if
+dup 4 eq{
+pop//FunctionToProc14 exec exit
+}if
+mark exch(Function type )exch( isn't implemented yet.)//error exec
+}loop
+}bind def
+/FunctionToProc20
+{
+PDFR_DEBUG{
+(FunctionToProc20, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+}bind def
+/FunctionToProc
+{//PDFR_DEBUG{
+(FunctionToProc beg )print count =
+}if
+dup type/dicttype eq{
+dup/Domain get length 2 idiv
+{
+dup 1 eq{
+pop//FunctionToProc1 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc20 exec exit
+}if
+mark(Functions with many arguments aren't implemented yet.)//error exec
+}loop
+}{
+//PDFR_DEBUG{(Not a function dict, assume already a procedure.)print}if
+}ifelse
+//PDFR_DEBUG{
+(FunctionToProc end )print count =
+}if
+}bind def
+/spotfunctions mark
+/Round{
+abs exch abs 2 copy add 1 le{
+dup mul exch dup mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}
+/Diamond{
+abs exch abs 2 copy add .75 le{
+dup mul exch dup mul add 1 exch sub
+}{
+2 copy add 1.23 le{
+.85 mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}ifelse
+}
+/Ellipse{
+abs exch abs 2 copy 3 mul exch 4 mul add 3 sub dup 0 lt{
+pop dup mul exch .75 div dup mul add 4 div 1 exch sub
+}{
+dup 1 gt{
+pop 1 exch sub dup mul exch 1 exch sub
+.75 div dup mul add 4 div 1 sub
+}{
+.5 exch sub exch pop exch pop
+}ifelse
+}ifelse
+}
+/EllipseA{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseA{dup mul .9 mul exch dup mul add 1 sub}
+/EllipseB{dup 5 mul 8 div mul exch dup mul exch add sqrt 1 exch sub}
+/EllipseC{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseC{dup mul .9 mul exch dup mul add 1 sub}
+/Line{exch pop abs neg}
+/LineX{pop}
+/LineY{exch pop}
+/Square{abs exch abs 2 copy lt{exch}if pop neg}
+/Cross{abs exch abs 2 copy gt{exch}if pop neg}
+/Rhomboid{abs exch abs 0.9 mul add 2 div}
+/DoubleDot{2{360 mul sin 2 div exch}repeat add}
+/InvertedDoubleDot{2{360 mul sin 2 div exch}repeat add neg}
+/SimpleDot{dup mul exch dup mul add 1 exch sub}
+/InvertedSimpleDot{dup mul exch dup mul add 1 sub}
+/CosineDot{180 mul cos exch 180 mul cos add 2 div}
+/Double{exch 2 div exch 2{360 mul sin 2 div exch}repeat add}
+/InvertedDouble{
+exch 2 div exch 2{360 mul sin 2 div exch}repeat add neg
+}
+.dicttomark readonly def
+/CheckColorSpace
+{
+dup type/arraytype ne{
+mark(Resource )3 index( must be an array.)//error exec
+}if
+}bind def
+/SubstitutePDFColorSpaceRec
+{0
+exec
+}bind def
+/SubstitutePDFColorSpace
+{
+{
+dup 0 get/Pattern eq{
+dup length 1 gt{
+dup dup 1//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+1 exch put
+}if
+exit
+}if
+dup 0 get/Indexed eq{
+exit
+}if
+dup 0 get/Separation eq{
+dup dup 2//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+2 exch put
+exit
+}if
+dup 0 get/CalGray eq{
+1 get
+dup/Gamma//knownget exec{
+[exch[exch/exp load]cvx dup dup]
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedA exch]
+exit
+}if
+dup 0 get/CalRGB eq{
+1 get
+dup/Matrix//knownget exec{
+1 index exch/MatrixLMN exch put
+}if
+dup/Gamma//knownget exec{
+aload pop
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+3 array astore
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedABC exch]
+exit
+}if
+dup 0 get/Lab eq{
+1 get
+begin
+currentdict/Range//knownget exec{aload pop}{-100 100 -100 100}ifelse
+0 100 6 2 roll 6 array astore
+/RangeABC exch def
+/DecodeABC[{16 add 116 div}bind{500 div}bind{200 div}bind]def
+/MatrixABC[1 1 1 1 0 0 0 0 -1]def
+{dup 6 29 div ge{dup dup mul mul}{4 29 div sub 108 841 div mul}ifelse}
+/DecodeLMN[
+[3 index aload pop WhitePoint 0 get/mul load]cvx
+[4 index aload pop WhitePoint 1 get/mul load]cvx
+[5 index aload pop WhitePoint 2 get/mul load]cvx
+]def pop
+//PDFR_DEBUG{
+(Constructed from Lab <<)=
+currentdict{exch = ==}forall
+(>>)=
+}if
+[/CIEBasedABC currentdict]
+end
+exit
+pop
+}if
+dup 0 get/CIEBasedA eq{exit}if
+dup 0 get/CIEBasedABC eq{exit}if
+mark exch(Unimplemented color space )exch//error exec
+}loop
+}bind def
+//SubstitutePDFColorSpaceRec 0//SubstitutePDFColorSpace put
+/ResolveArrayElement
+{2 copy get
+dup type dup/arraytype eq exch
+/packedarraytype eq or{
+dup length 1 ge exch xcheck and{
+2 copy get
+dup 0 get type/integertype eq
+1 index 1 get type dup/arraytype
+eq exch
+/packedarraytype eq or
+and{
+exec
+2 index 4 1 roll put
+}{
+pop pop
+}ifelse
+}{
+pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/ResolveColorSpaceArrayRec
+{0
+exec
+}bind def
+/SetColorSpaceSafe
+{
+PDFR_DEBUG{
+(SetColorSpaceSafe beg)=
+}if
+currentcolorspace dup type/arraytype eq{
+1 index type/arraytype eq{
+dup length 2 index length eq{
+false exch
+dup length 0 exch 1 exch 1 sub{
+dup
+4 index exch get exch
+2 index exch get
+ne{
+exch pop true exch exit
+}if
+}for
+pop
+{
+setcolorspace
+}{
+pop
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+PDFR_DEBUG{
+(SetColorSpaceSafe end)=
+}if
+}bind def
+/ResolveColorSpaceArray
+{
+//PDFR_DEBUG{
+(ResolveColorSpaceArray beg )print dup ==
+}if
+dup 0 get/Indexed eq{
+1//ResolveArrayElement exec
+dup dup 1 get
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArrayRec exec
+1 exch put
+}{
+pop pop
+}ifelse
+}if
+dup 0 get/Separation eq{
+dup dup 1 get UnPDFEscape 1 exch put
+3//ResolveArrayElement exec
+dup 3 get//FunctionToProc exec
+2 copy 3 exch put
+pop
+}if
+dup 0 get/Pattern eq{
+dup length 1 gt{dup
+1 get dup type/arraytype eq{
+ResolveColorSpaceArray
+1 index 1 3 -1 roll put
+}{pop}ifelse}if
+}if
+PDFR_DEBUG{
+(Construcrted color space :)=
+dup ==
+}if
+//PDFR_DEBUG{
+(ResolveColorSpaceArray end )print dup ==
+}if
+}bind def
+//ResolveColorSpaceArrayRec 0//ResolveColorSpaceArray put
+/ResolveColorSpace
+{
+//PDFR_DEBUG{
+(ResolveColorSpace beg )print dup =
+}if
+dup//SimpleColorSpaceNames exch known not{
+dup//PDFColorSpaces exch//knownget exec{
+exch pop
+//PDFR_DEBUG{
+(ResolveColorSpace known )=
+}if
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/ColorSpace//DoNothing//ResolveD exec
+exch//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArray exec
+dup//PDFColorSpaces 4 2 roll put
+}if
+}ifelse
+}if
+//PDFR_DEBUG{
+(ResolveColorSpace end )print dup ==
+}if
+}bind def
+/CheckPattern
+{
+dup/PatternType//knownget exec{
+dup 1 ne{
+mark(Resource )4 index( is a shading, which can't be handled at level 2. )//error exec
+}if
+pop
+}if
+dup/Type knownget{
+/Pattern ne{
+mark(Resource )4 index( must have /Type/Pattern .)//error exec
+}if
+}if
+}bind def
+/PaintProc
+{/Context get
+//RunDelayedStream exec
+}bind def
+/ResolvePattern
+{
+dup
+userdict/PDFR_Patterns get
+exch//knownget exec{
+exch pop
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Pattern//DoNothing//ResolveD exec
+exch//CheckPattern//ResolveD exec
+dup dup/Context exch put
+dup/Resources//DoNothing//ResolveD exec pop
+dup/PaintProc//PaintProc put
+gsave userdict/PDFR_InitialGS get setgstate
+currentglobal exch false setglobal
+dup/Matrix get
+makepattern
+exch setglobal
+grestore
+dup userdict/PDFR_Patterns get
+4 2 roll
+put
+}ifelse
+}bind def
+/SetColor
+{//PDFR_DEBUG{
+(SetColor beg)=
+}if
+currentcolorspace dup type/nametype eq{
+pop setcolor
+}{
+0 get/Pattern eq{
+//ResolvePattern exec setpattern
+}{
+setcolor
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(SetColor end)=
+}if
+}bind def
+/ImageKeys 15 dict begin
+/BPC/BitsPerComponent def
+/CS/ColorSpace def
+/D/Decode def
+/DP/DecodeParms def
+/F/Filter def
+/H/Height def
+/IM/ImageMask def
+/I/Interpolate def
+/W/Width def
+currentdict end readonly def
+/ImageValues 15 dict begin
+/G/DeviceGray def
+/RGB/DeviceRGB def
+/CMYK/DeviceCMYK def
+/I/Indexed def
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/GetColorSpaceRange
+{2 index/ColorSpace get
+dup type/arraytype eq{
+1 get
+}if
+exch//knownget exec{
+exch pop
+}if
+}bind def
+/DecodeArrays 15 dict begin
+/DeviceGray{[0 1]}def
+/DeviceRGB{[0 1 0 1 0 1]}def
+/DeviceCMYK{[0 1 0 1 0 1 0 1]}def
+/Indexed{
+dup/BitsPerComponent get 1 exch bitshift 1 sub[exch 0 exch]
+}def
+/Separation{[0 1]}def
+/CIEBasedA{[0 1]/RangeA//GetColorSpaceRange exec}def
+/CIEBasedABC{[0 1 0 1 0 1]/RangeABC//GetColorSpaceRange exec}def
+currentdict end readonly def
+/Substitute
+{1 index//knownget exec{
+exch pop
+}if
+}bind def
+/DebugImagePrinting
+{
+//PDFR_DEBUG{
+(Image :)=
+dup{exch//=only exec( )print ==
+}forall
+}if
+}bind def
+/CompleteImage
+{
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec pop
+}if
+dup/Decode known not{
+dup/ColorSpace//knownget exec{
+dup type/arraytype eq{
+0 get
+}if
+//DecodeArrays exch get exec
+}{
+[0 1]
+}ifelse
+1 index exch/Decode exch put
+}if
+dup/ImageMatrix[2 index/Width get 0 0 5 index/Height get neg
+0 7 index/Height get]put
+//DebugImagePrinting exec
+}bind def
+/CompleteInlineImage
+{
+//PDFR_DEBUG{
+(CompleteInlineImage beg)=
+}if
+dup/ImageType known not{
+dup/ImageType 1 put
+}if
+dup length dict exch{
+exch//ImageKeys//Substitute exec
+dup/Filter eq{
+exch//ImageValues//Substitute exec exch
+}if
+dup/ColorSpace eq{
+exch
+dup//ImageValues exch//knownget exec{
+exch pop
+}{
+//ResolveColorSpace exec
+}ifelse
+exch
+}if
+exch
+2 index 3 1 roll put
+}forall
+//CompleteImage exec
+dup/DataSource 2 copy get
+2 index//AppendFilters exec put
+//PDFR_DEBUG{
+(CompleteInlineImage end)=
+}if
+}bind def
+/CompleteOutlineImage
+{
+currentglobal exch dup gcheck setglobal
+//PDFR_DEBUG{
+(CompleteOutlineImage beg)=
+}if
+dup dup//MakeStreamReader exec/DataSource exch put
+dup/ImageType known not{
+//CompleteImage exec
+dup/ImageType 1 put
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//ResolveColorSpaceArray exec
+//SubstitutePDFColorSpace exec
+1 index exch/ColorSpace exch put
+}{
+pop
+}ifelse
+}if
+}if
+//PDFR_DEBUG{
+(CompleteOutlineImage end)=
+}if
+exch setglobal
+}bind def
+/DoImage
+{
+//PDFR_DEBUG{
+(DoImage beg)=
+}if
+gsave
+dup/ColorSpace//knownget exec{setcolorspace}if
+dup/ImageMask//knownget exec not{false}if
+{imagemask}{image}ifelse
+grestore
+//PDFR_DEBUG{
+(DoImage end)=
+}if
+}bind def
+/GSave
+{
+gsave
+//PDFReader/GraphicStateStackPointer get
+dup//GraphicStateStack exch get null eq{
+dup//GraphicStateStack exch//InitialGraphicState length dict put
+}if
+dup//GraphicStateStack exch get
+//GraphicState exch copy pop
+1 add//PDFReader exch/GraphicStateStackPointer exch put
+}bind def
+/GRestore
+{
+grestore
+//PDFReader/GraphicStateStackPointer get
+1 sub dup
+//PDFReader exch/GraphicStateStackPointer exch put
+//GraphicStateStack exch get
+//GraphicState copy pop
+}bind def
+/SetFont
+{dup//GraphicState exch/FontSize exch put
+//ResolveAndSetFont exec
+//GraphicState/FontMatrixNonHV currentfont/FontMatrix get 1 get 0 ne put
+}bind def
+/ShowText
+{//GraphicState/TextRenderingMode get 0 eq{
+//GraphicState/WordSpacing get 0
+32
+//GraphicState/CharacterSpacing get 0
+6 5 roll
+//GraphicState/FontMatrixNonHV get{
+[
+7 -2 roll pop
+5 -2 roll pop
+5 -1 roll
+{
+exch
+pop
+3 index add
+exch 2 index eq{3 index add}if
+4 1 roll
+}
+currentfont/FontMatrix get 0 get 0 ne{
+1 1 index length 1 sub getinterval cvx
+}if
+5 index
+cshow
+pop pop pop]
+xshow
+}{
+awidthshow
+}ifelse
+}{
+//GraphicState/CharacterSpacing get 0 eq
+//GraphicState/FontMatrixNonHV get not and
+//GraphicState/WordSpacing get 0 eq and{
+true charpath
+}{
+{
+exch
+pop 0
+currentpoint 5 4 roll
+( )dup 0 3 index put true charpath
+5 1 roll
+moveto rmoveto
+//GraphicState/CharacterSpacing get 0 rmoveto
+32 eq{
+//GraphicState/WordSpacing get 0 rmoveto
+}if
+}
+//GraphicState/FontMatrixNonHV get dup not exch{
+pop currentfont/FontMatrix get 0 get 0 ne
+}if{
+1 1 index length 1 sub getinterval cvx
+}if
+exch cshow
+}ifelse
+}ifelse
+}bind def
+/ShowTextBeg
+{//GraphicState/TextRenderingMode get 0 ne{
+currentpoint newpath moveto
+}if
+}bind def
+/ShowTextEnd
+{//GraphicState/TextRenderingMode get
+{dup 1 eq{
+stroke exit
+}if
+dup 2 eq{
+gsave fill grestore stroke exit
+}if
+dup 3 eq{
+currentpoint newpath moveto
+}if
+dup 4 eq{
+gsave fill grestore clip exit
+}if
+dup 5 eq{
+gsave stroke grestore clip exit
+}if
+dup 6 eq{
+gsave fill grestore gsave stroke grestore fill exit
+}if
+dup 7 eq{
+clip exit
+}if
+exit
+}loop
+pop
+}bind def
+/ShowTextWithGlyphPositioning
+{//ShowTextBeg exec
+{dup type/stringtype eq{
+//ShowText exec
+}{
+neg 1000 div//GraphicState/FontSize get mul 0 rmoveto
+}ifelse
+}forall
+//ShowTextEnd exec
+}bind def
+/CheckFont
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/SetTransfer
+{
+//PDFR_DEBUG{(SetTransfer beg )print count =}if
+dup type/arraytype eq 1 index xcheck not and{
+0 4 getinterval aload pop
+setcolortransfer
+}{
+settransfer
+}ifelse
+//PDFR_DEBUG{(SetTransfer end )print count =}if
+}bind def
+/CheckExtGState
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/CheckHalftone
+{dup/HalftoneType known not{
+mark(Resource )3 index( must have /HalftoneType.)//error exec
+}if
+}bind def
+/ResolveFunction
+{
+//PDFR_DEBUG{(ResolveFunction beg )print dup = count =}if
+2 copy get//IsObjRef exec{
+2 copy//DoNothing//ResolveD exec
+3 copy put pop
+}if
+2 copy get dup type/arraytype eq exch xcheck and not{
+2 copy get
+dup type/arraytype eq 1 index xcheck not and{
+dup length 1 sub -1 0{
+2 copy//DoNothing ResolveA
+dup/Identity eq{
+pop 2 copy{}put
+}{
+//FunctionToProc exec
+3 copy put pop
+}ifelse
+pop
+}for
+}{
+dup/Default eq{
+}{
+dup/Identity eq{
+pop{}
+}{dup type/nametype eq{
+//spotfunctions exch get
+}{
+//FunctionToProc exec
+}ifelse
+}ifelse
+}ifelse
+}ifelse
+3 copy put
+exch pop
+}{
+1 index exch get
+}ifelse
+//PDFR_DEBUG{(ResolveFunction end )print dup == count =}if
+}bind def
+/ResolveFunctionSafe
+{2 copy known{
+//ResolveFunction exec
+}if
+pop
+}bind def
+/CreateHalftoneThresholds
+{
+dup/Thresholds known not{
+dup/HalftoneType get 10 eq{
+dup dup//MakeStreamReader exec
+/Thresholds exch put
+}if
+dup/HalftoneType get dup 3 eq exch 6 eq or{
+dup dup//MakeStreamReader exec
+//BlockBuffer readstring pop
+dup length
+dup 0 eq{
+mark(Could not read Thresholds)//error exec
+}if
+string copy/Thresholds exch put
+dup/HalftoneType 3 put
+}if
+}if
+}bind def
+/SetExtGState
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/ExtGState//DoNothing//ResolveD exec
+exch//CheckExtGState//ResolveD exec
+dup/LW//knownget exec{
+setlinewidth
+}if
+dup/LC//knownget exec{
+setlinecap
+}if
+dup/LJ//knownget exec{
+setlinejoin
+}if
+dup/ML//knownget exec{
+setmeterlimit
+}if
+dup/D//knownget exec{
+setdash
+}if
+dup/RI//knownget exec{
+mark(Unimplemented ExtGState.RI)//error exec
+}if
+dup/OP//knownget exec{
+setoverprint
+}if
+dup/op//knownget exec{
+setoverprint
+}if
+dup/OPM//knownget exec{
+mark(Unimplemented ExtGState.OPM)//error exec
+}if
+dup/Font//knownget exec{
+mark(Unimplemented ExtGState.Font)//error exec
+}if
+dup/BG known{
+/BG//ResolveFunction exec
+setblackgeneration
+}if
+dup/BG2 known{
+/BG2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/BG2 get
+}if
+setblackgeneration
+}if
+dup/UCR known{
+/UCR//ResolveFunction exec
+setundercolorremoval
+}if
+dup/UCR2 known{
+/UCR2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/UCR2 get
+}if
+setundercolorremoval
+}if
+dup/TR known{
+/TR//ResolveFunction exec
+//SetTransfer exec
+}if
+dup/TR2 known{
+/TR2//ResolveFunction exec
+dup/Default eq{
+pop//InitialExtGState/TR2 get
+aload pop setcolortransfer
+}{
+//SetTransfer exec
+}ifelse
+}if
+dup/HT//knownget exec{
+dup/Default eq{
+pop//InitialExtGState/HT get
+sethalftone
+}{
+//PDFR_DEBUG{(Ht beg)=}if
+pop dup/HT//CheckHalftone//ResolveD exec
+/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+null exch
+dup/HalftoneType get dup 5 eq exch dup 4 eq exch 2 eq or or{
+dup{
+dup//IsObjRef exec{
+pop
+1 index exch//CheckHalftone ResolveD
+}if
+dup type/dicttype eq{
+dup/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+//CreateHalftoneThresholds exec
+dup/HalftoneType get 5 gt{
+4 3 roll pop
+dup 4 1 roll
+}if
+}if
+pop pop
+}forall
+}if
+//CreateHalftoneThresholds exec
+//PDFR_DEBUG{
+(HT:)=
+dup{
+1 index/Default eq{
+(Default <<)=
+exch pop
+{exch = ==}forall
+(>>)=
+}{
+exch = ==
+}ifelse
+}forall
+(HT end)= flush
+}if
+exch dup null ne{
+(Warning: Ignoring a halftone with a Level 3 component halftone Type )print dup/HalftoneType get =
+pop pop
+}{
+pop
+dup/HalftoneType get 5 gt{
+(Warning: Ignoring a Level 3 halftone Type )print dup/HalftoneType get =
+pop
+}{
+sethalftone
+}ifelse
+}ifelse
+//PDFR_DEBUG{(HT set)= flush}if
+}ifelse
+}if
+dup/FL//knownget exec{
+setflattness
+}if
+dup/SM//knownget exec{
+setsmoothness
+}if
+dup/SA//knownget exec{
+setstrokeadjust
+}if
+dup/BM//knownget exec{
+mark(Unimplemented ExtGState.BM)//error exec
+}if
+dup/SMask//knownget exec{
+mark(Unimplemented ExtGState.SMask)//error exec
+}if
+dup/CA//knownget exec{
+mark(Unimplemented ExtGState.CA)//error exec
+}if
+dup/ca//knownget exec{
+mark(Unimplemented ExtGState.ca)//error exec
+}if
+dup/AIS//knownget exec{
+mark(Unimplemented ExtGState.AIS)//error exec
+}if
+dup/TK//knownget exec{
+mark(Unimplemented ExtGState.TK)//error exec
+}if
+pop
+}bind def
+/CheckXObject
+{dup/Subtype get dup/Image ne exch dup/Form ne exch/PS ne and and{
+mark(Resource )3 index( must have /Subtype /Image or /Form or /PS.)//error exec
+}if
+}bind def
+/DoXObject
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/XObject//DoNothing//ResolveD exec
+exch//CheckXObject//ResolveD exec
+dup/Subtype get
+dup/Image eq{
+pop
+//CompleteOutlineImage exec
+//DoImage exec
+}{
+dup/PS eq{
+PDFR_DEBUG{
+(Executing a PS Xobject)=
+}if
+pop
+//RunDelayedStream exec
+}{
+dup/Form eq{
+pop
+PDFR_DEBUG{
+(Executing a Form XObject)=
+}if
+//PDFReader/CurrentObject get exch
+dup//PDFReader exch<< exch/Context exch >>/CurrentObject exch put
+dup/Matrix get concat
+dup/BBox get aload pop exch 3 index sub exch 2 index sub rectclip
+//RunDelayedStream exec
+//PDFReader exch/CurrentObject exch put
+}{
+mark exch(unimplemented XObject type )exch//error exec
+}ifelse
+}ifelse
+}ifelse
+}bind def
+/Operators 50 dict begin
+/q{//GSave exec}bind def
+/Q{//GRestore exec}bind def
+/cm{//TempMatrix astore concat}bind def
+/i{1 .min setflat}bind def
+/J/setlinecap load def
+/d/setdash load def
+/j/setlinejoin load def
+/w/setlinewidth load def
+/M/setmiterlimit load def
+/gs{SetExtGState}bind def
+/g/setgray load def
+/rg/setrgbcolor load def
+/k/setcmykcolor load def
+/cs{//ResolveColorSpace exec//SetColorSpaceSafe exec
+}bind def
+/sc/setcolor load def
+/scn{//SetColor exec}bind def
+/G/setgray load def
+/RG/setrgbcolor load def
+/K/setcmykcolor load def
+/CS//cs def
+/ri{SetColorRenderingIntent}bind def
+/SC/setcolor load def
+/SCN{//SetColor exec}bind def
+/m/moveto load def
+/l/lineto load def
+/c/curveto load def
+/v{currentpoint 6 2 roll curveto}bind def
+/y{2 copy curveto}bind def
+/re{
+4 2 roll moveto exch dup 0 rlineto 0 3 -1 roll rlineto neg 0 rlineto
+closepath
+}def
+/h/closepath load def
+/n/newpath load def
+/S/stroke load def
+/s{closepath stroke}bind def
+/f/fill load def
+/f*/eofill load def
+/B{gsave fill grestore stroke}bind def
+/b{closepath gsave fill grestore stroke}bind def
+/B*{gsave eofill grestore stroke}bind def
+/b*{closepath gsave eofill grestore stroke}bind def
+/W/clip load def
+/W*/eoclip load def
+/sh{
+ResolveShading
+dup/Background known{
+gsave
+dup/ColorSpace get setcolorspace
+dup/Background get aload pop setcolor
+pathbbox
+2 index sub exch 3 index sub exch
+rectfill
+grestore
+}if
+shfill
+}bind def
+/Do{//DoXObject exec}bind def
+/BI{currentglobal false setglobal<<}bind def
+/ID{>>
+dup/DataSource currentfile
+2 index/F//knownget exec{
+/A85 eq{
+0(~>)/SubFileDecode filter
+}if
+}if
+put
+//CompleteInlineImage exec
+exch setglobal
+//DoImage exec
+}bind def
+/EI{}bind def
+/BT{gsave//GraphicState/InitialTextMatrix get currentmatrix pop}bind def
+/ET{grestore}bind def
+/Tc{//GraphicState exch/CharacterSpacing exch put}bind def
+/TL{//GraphicState exch/TextLeading exch put}bind def
+/Tr{//GraphicState exch/TextRenderingMode exch put}bind def
+/Ts{
+mark(Unimplemented SetTextRise)//error exec
+}bind def
+/Tw{//GraphicState exch/WordSpacing exch put}bind def
+/Tz{
+mark(Unimplemented SetHorizontalTextScaling)//error exec
+}bind def
+/Td{translate 0 0 moveto}bind def
+/TD{dup neg//TL exec//Td exec}bind def
+/Tm{//GraphicState/InitialTextMatrix get setmatrix
+//TempMatrix astore concat
+0 0 moveto}bind def
+/T*{0//GraphicState/TextLeading get neg//Td exec}bind def
+/Tj{//ShowTextBeg exec//ShowText exec//ShowTextEnd exec}bind def
+/'{//T* exec//ShowText exec//ShowTextEnd exec}bind def
+/"{3 2 roll//Tw exec exch//Tc exec//' exec}bind def
+/TJ//ShowTextWithGlyphPositioning def
+/Tf//SetFont def
+/d0/setcharwidth load def
+/d1/setcachedevice load def
+/BDC{pop pop}bind def
+/BMC{pop}bind def
+/EMC{}bind def
+/BX{BeginCompatibilitySection}bind def
+/EX{EndCompatibilitySection}bind def
+/DP{DefineMarkedContentPointWithPropertyList}bind def
+/MP{DefineMarkedContentPoint}bind def
+/PS{cvx exec}bind def
+currentdict end def
+//PDFR_STREAM{
+//Operators length dict begin
+//Operators{
+exch dup
+[exch//=only/exec load
+( )/print load
+8 7 roll
+dup type/arraytype eq{
+/exec load
+}if
+( )/print load
+]cvx
+def
+}forall
+currentdict end/Operators exch def
+}if
+/.registerencoding
+{pop pop
+}bind def
+/.defineencoding
+{def
+}bind def
+/.findencoding
+{load
+}bind def
+/currentglobal where
+{pop currentglobal{setglobal}true setglobal}
+{{}}
+ifelse
+/MacRomanEncoding
+StandardEncoding 0 39 getinterval aload pop
+/quotesingle
+StandardEncoding 40 56 getinterval aload pop
+/grave
+StandardEncoding 97 31 getinterval aload pop
+/Adieresis/Aring/Ccedilla/Eacute/Ntilde/Odieresis/Udieresis/aacute
+/agrave/acircumflex/adieresis/atilde/aring/ccedilla/eacute/egrave
+/ecircumflex/edieresis/iacute/igrave
+/icircumflex/idieresis/ntilde/oacute
+/ograve/ocircumflex/odieresis/otilde
+/uacute/ugrave/ucircumflex/udieresis
+/dagger/degree/cent/sterling/section/bullet/paragraph/germandbls
+/registered/copyright/trademark/acute/dieresis/.notdef/AE/Oslash
+/.notdef/plusminus/.notdef/.notdef/yen/mu/.notdef/.notdef
+/.notdef/.notdef/.notdef/ordfeminine/ordmasculine/.notdef/ae/oslash
+/questiondown/exclamdown/logicalnot/.notdef
+/florin/.notdef/.notdef/guillemotleft
+/guillemotright/ellipsis/space/Agrave/Atilde/Otilde/OE/oe
+/endash/emdash/quotedblleft/quotedblright
+/quoteleft/quoteright/divide/.notdef
+/ydieresis/Ydieresis/fraction/currency
+/guilsinglleft/guilsinglright/fi/fl
+/daggerdbl/periodcentered/quotesinglbase/quotedblbase
+/perthousand/Acircumflex/Ecircumflex/Aacute
+/Edieresis/Egrave/Iacute/Icircumflex
+/Idieresis/Igrave/Oacute/Ocircumflex
+/.notdef/Ograve/Uacute/Ucircumflex
+/Ugrave/dotlessi/circumflex/tilde
+/macron/breve/dotaccent/ring/cedilla/hungarumlaut/ogonek/caron
+256 packedarray
+5 1 index .registerencoding
+.defineencoding
+exec
+/AdobeGlyphList mark
+/A 16#0041
+/AE 16#00c6
+/AEacute 16#01fc
+/AEmacron 16#01e2
+/AEsmall 16#f7e6
+/Aacute 16#00c1
+/Aacutesmall 16#f7e1
+/Abreve 16#0102
+/Abreveacute 16#1eae
+/Abrevecyrillic 16#04d0
+/Abrevedotbelow 16#1eb6
+/Abrevegrave 16#1eb0
+/Abrevehookabove 16#1eb2
+/Abrevetilde 16#1eb4
+/Acaron 16#01cd
+/Acircle 16#24b6
+/Acircumflex 16#00c2
+/Acircumflexacute 16#1ea4
+/Acircumflexdotbelow 16#1eac
+/Acircumflexgrave 16#1ea6
+/Acircumflexhookabove 16#1ea8
+/Acircumflexsmall 16#f7e2
+/Acircumflextilde 16#1eaa
+/Acute 16#f6c9
+/Acutesmall 16#f7b4
+/Acyrillic 16#0410
+/Adblgrave 16#0200
+/Adieresis 16#00c4
+/Adieresiscyrillic 16#04d2
+/Adieresismacron 16#01de
+/Adieresissmall 16#f7e4
+/Adotbelow 16#1ea0
+/Adotmacron 16#01e0
+/Agrave 16#00c0
+/Agravesmall 16#f7e0
+/Ahookabove 16#1ea2
+/Aiecyrillic 16#04d4
+/Ainvertedbreve 16#0202
+/Alpha 16#0391
+/Alphatonos 16#0386
+/Amacron 16#0100
+/Amonospace 16#ff21
+/Aogonek 16#0104
+/Aring 16#00c5
+/Aringacute 16#01fa
+/Aringbelow 16#1e00
+/Aringsmall 16#f7e5
+/Asmall 16#f761
+/Atilde 16#00c3
+/Atildesmall 16#f7e3
+/Aybarmenian 16#0531
+/B 16#0042
+/Bcircle 16#24b7
+/Bdotaccent 16#1e02
+/Bdotbelow 16#1e04
+/Becyrillic 16#0411
+/Benarmenian 16#0532
+/Beta 16#0392
+/Bhook 16#0181
+/Blinebelow 16#1e06
+/Bmonospace 16#ff22
+/Brevesmall 16#f6f4
+/Bsmall 16#f762
+/Btopbar 16#0182
+/C 16#0043
+/Caarmenian 16#053e
+/Cacute 16#0106
+/Caron 16#f6ca
+/Caronsmall 16#f6f5
+/Ccaron 16#010c
+/Ccedilla 16#00c7
+/Ccedillaacute 16#1e08
+/Ccedillasmall 16#f7e7
+/Ccircle 16#24b8
+/Ccircumflex 16#0108
+/Cdot 16#010a
+/Cdotaccent 16#010a
+/Cedillasmall 16#f7b8
+/Chaarmenian 16#0549
+/Cheabkhasiancyrillic 16#04bc
+/Checyrillic 16#0427
+/Chedescenderabkhasiancyrillic 16#04be
+/Chedescendercyrillic 16#04b6
+/Chedieresiscyrillic 16#04f4
+/Cheharmenian 16#0543
+/Chekhakassiancyrillic 16#04cb
+/Cheverticalstrokecyrillic 16#04b8
+/Chi 16#03a7
+/Chook 16#0187
+/Circumflexsmall 16#f6f6
+/Cmonospace 16#ff23
+/Coarmenian 16#0551
+/Csmall 16#f763
+/D 16#0044
+/DZ 16#01f1
+/DZcaron 16#01c4
+/Daarmenian 16#0534
+/Dafrican 16#0189
+/Dcaron 16#010e
+/Dcedilla 16#1e10
+/Dcircle 16#24b9
+/Dcircumflexbelow 16#1e12
+/Dcroat 16#0110
+/Ddotaccent 16#1e0a
+/Ddotbelow 16#1e0c
+/Decyrillic 16#0414
+/Deicoptic 16#03ee
+/Delta 16#2206
+/Deltagreek 16#0394
+/Dhook 16#018a
+/Dieresis 16#f6cb
+/DieresisAcute 16#f6cc
+/DieresisGrave 16#f6cd
+/Dieresissmall 16#f7a8
+/Digammagreek 16#03dc
+/Djecyrillic 16#0402
+/Dlinebelow 16#1e0e
+/Dmonospace 16#ff24
+/Dotaccentsmall 16#f6f7
+/Dslash 16#0110
+/Dsmall 16#f764
+/Dtopbar 16#018b
+/Dz 16#01f2
+/Dzcaron 16#01c5
+/Dzeabkhasiancyrillic 16#04e0
+/Dzecyrillic 16#0405
+/Dzhecyrillic 16#040f
+/E 16#0045
+/Eacute 16#00c9
+/Eacutesmall 16#f7e9
+/Ebreve 16#0114
+/Ecaron 16#011a
+/Ecedillabreve 16#1e1c
+/Echarmenian 16#0535
+/Ecircle 16#24ba
+/Ecircumflex 16#00ca
+/Ecircumflexacute 16#1ebe
+/Ecircumflexbelow 16#1e18
+/Ecircumflexdotbelow 16#1ec6
+/Ecircumflexgrave 16#1ec0
+/Ecircumflexhookabove 16#1ec2
+/Ecircumflexsmall 16#f7ea
+/Ecircumflextilde 16#1ec4
+/Ecyrillic 16#0404
+/Edblgrave 16#0204
+/Edieresis 16#00cb
+/Edieresissmall 16#f7eb
+/Edot 16#0116
+/Edotaccent 16#0116
+/Edotbelow 16#1eb8
+/Efcyrillic 16#0424
+/Egrave 16#00c8
+/Egravesmall 16#f7e8
+/Eharmenian 16#0537
+/Ehookabove 16#1eba
+/Eightroman 16#2167
+/Einvertedbreve 16#0206
+/Eiotifiedcyrillic 16#0464
+/Elcyrillic 16#041b
+/Elevenroman 16#216a
+/Emacron 16#0112
+/Emacronacute 16#1e16
+/Emacrongrave 16#1e14
+/Emcyrillic 16#041c
+/Emonospace 16#ff25
+/Encyrillic 16#041d
+/Endescendercyrillic 16#04a2
+/Eng 16#014a
+/Enghecyrillic 16#04a4
+/Enhookcyrillic 16#04c7
+/Eogonek 16#0118
+/Eopen 16#0190
+/Epsilon 16#0395
+/Epsilontonos 16#0388
+/Ercyrillic 16#0420
+/Ereversed 16#018e
+/Ereversedcyrillic 16#042d
+/Escyrillic 16#0421
+/Esdescendercyrillic 16#04aa
+/Esh 16#01a9
+/Esmall 16#f765
+/Eta 16#0397
+/Etarmenian 16#0538
+/Etatonos 16#0389
+/Eth 16#00d0
+/Ethsmall 16#f7f0
+/Etilde 16#1ebc
+/Etildebelow 16#1e1a
+/Euro 16#20ac
+/Ezh 16#01b7
+/Ezhcaron 16#01ee
+/Ezhreversed 16#01b8
+/F 16#0046
+/Fcircle 16#24bb
+/Fdotaccent 16#1e1e
+/Feharmenian 16#0556
+/Feicoptic 16#03e4
+/Fhook 16#0191
+/Fitacyrillic 16#0472
+/Fiveroman 16#2164
+/Fmonospace 16#ff26
+/Fourroman 16#2163
+/Fsmall 16#f766
+/G 16#0047
+/GBsquare 16#3387
+/Gacute 16#01f4
+/Gamma 16#0393
+/Gammaafrican 16#0194
+/Gangiacoptic 16#03ea
+/Gbreve 16#011e
+/Gcaron 16#01e6
+/Gcedilla 16#0122
+/Gcircle 16#24bc
+/Gcircumflex 16#011c
+/Gcommaaccent 16#0122
+/Gdot 16#0120
+/Gdotaccent 16#0120
+/Gecyrillic 16#0413
+/Ghadarmenian 16#0542
+/Ghemiddlehookcyrillic 16#0494
+/Ghestrokecyrillic 16#0492
+/Gheupturncyrillic 16#0490
+/Ghook 16#0193
+/Gimarmenian 16#0533
+/Gjecyrillic 16#0403
+/Gmacron 16#1e20
+/Gmonospace 16#ff27
+/Grave 16#f6ce
+/Gravesmall 16#f760
+/Gsmall 16#f767
+/Gsmallhook 16#029b
+/Gstroke 16#01e4
+/H 16#0048
+/H18533 16#25cf
+/H18543 16#25aa
+/H18551 16#25ab
+/H22073 16#25a1
+/HPsquare 16#33cb
+/Haabkhasiancyrillic 16#04a8
+/Hadescendercyrillic 16#04b2
+/Hardsigncyrillic 16#042a
+/Hbar 16#0126
+/Hbrevebelow 16#1e2a
+/Hcedilla 16#1e28
+/Hcircle 16#24bd
+/Hcircumflex 16#0124
+/Hdieresis 16#1e26
+/Hdotaccent 16#1e22
+/Hdotbelow 16#1e24
+/Hmonospace 16#ff28
+/Hoarmenian 16#0540
+/Horicoptic 16#03e8
+/Hsmall 16#f768
+/Hungarumlaut 16#f6cf
+/Hungarumlautsmall 16#f6f8
+/Hzsquare 16#3390
+/I 16#0049
+/IAcyrillic 16#042f
+/IJ 16#0132
+/IUcyrillic 16#042e
+/Iacute 16#00cd
+/Iacutesmall 16#f7ed
+/Ibreve 16#012c
+/Icaron 16#01cf
+/Icircle 16#24be
+/Icircumflex 16#00ce
+/Icircumflexsmall 16#f7ee
+/Icyrillic 16#0406
+/Idblgrave 16#0208
+/Idieresis 16#00cf
+/Idieresisacute 16#1e2e
+/Idieresiscyrillic 16#04e4
+/Idieresissmall 16#f7ef
+/Idot 16#0130
+/Idotaccent 16#0130
+/Idotbelow 16#1eca
+/Iebrevecyrillic 16#04d6
+/Iecyrillic 16#0415
+/Ifraktur 16#2111
+/Igrave 16#00cc
+/Igravesmall 16#f7ec
+/Ihookabove 16#1ec8
+/Iicyrillic 16#0418
+/Iinvertedbreve 16#020a
+/Iishortcyrillic 16#0419
+/Imacron 16#012a
+/Imacroncyrillic 16#04e2
+/Imonospace 16#ff29
+/Iniarmenian 16#053b
+/Iocyrillic 16#0401
+/Iogonek 16#012e
+/Iota 16#0399
+/Iotaafrican 16#0196
+/Iotadieresis 16#03aa
+/Iotatonos 16#038a
+/Ismall 16#f769
+/Istroke 16#0197
+/Itilde 16#0128
+/Itildebelow 16#1e2c
+/Izhitsacyrillic 16#0474
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diff --git a/figures/Schmidt2017/Fig2_anatomy.py b/figures/Schmidt2017/Fig2_anatomy.py
new file mode 100644
index 0000000000000000000000000000000000000000..786966e02c7c7605b0ce024e339f84c7377c6f14
--- /dev/null
+++ b/figures/Schmidt2017/Fig2_anatomy.py
@@ -0,0 +1,254 @@
+import json
+import numpy as np
+import matplotlib.pyplot as pl
+import os
+from helpers import area_list, datapath
+from plotcolors import myblue, myblue2, myred, myyellow, myred2
+from plotfuncs import create_fig
+from scipy import stats
+colors = [myblue2, myblue,  myyellow, myred2, myred]
+
+
+with open(os.path.join(datapath, 'viscortex_processed_data.json'), 'r') as f:
+    proc = json.load(f)
+neuron_densities = proc['neuronal_densities']
+architecture_completed = proc['architecture_completed']
+
+
+categories = {}
+for ii in np.arange(0, 9, 1):
+    categories[ii] = []
+for area in architecture_completed:
+    categories[architecture_completed[area]].append(area)
+
+with open(os.path.join(datapath, 'viscortex_raw_data.json'), 'r') as f:
+    raw = json.load(f)
+thicknesses = raw['laminar_thicknesses']
+total_thickness_data = raw['total_thickness_data']
+
+# calculate average relative layer thicknesses for each area
+# where possible, compare with total thickness, with total thickness
+# without L1, and compare L23-L4, L23-L5, L23-L6, L4-L5, L4-L6, and L5-L6
+frac_of_total = {}
+for area in list(thicknesses.keys()):
+    area_dict_total = {}
+    for layer in list(thicknesses[area].keys()):
+        area_dict_total[layer] = np.array(
+            thicknesses[area][layer]) / np.array(thicknesses[area]['total'])
+        # if layer thickness is zero, it makes up 0% of the total, even if the
+        # total is unknown
+        if 0 in np.array(thicknesses[area][layer]):
+            if np.isscalar(thicknesses[area][layer]):
+                area_dict_total[layer] = 0
+            else:
+                indices = np.where(np.array(
+                    thicknesses[area][layer]) == 0)[0]
+                for i in indices:
+                    area_dict_total[layer][i] = 0
+    frac_of_total[area] = area_dict_total
+
+total = {}
+for area in list(thicknesses.keys()):
+    totals = thicknesses[area]['total']
+    if not np.isscalar(totals):
+        if sum(np.isfinite(totals)):
+            total[area] = np.nansum(totals) / sum(np.isfinite(totals))
+        else:
+            total[area] = np.nan
+    else:
+        total[area] = totals
+
+# Create arrays
+
+frac1_of_total = np.zeros(len(area_list))
+frac23_of_total = np.zeros(len(area_list))
+frac4_of_total = np.zeros(len(area_list))
+frac5_of_total = np.zeros(len(area_list))
+frac6_of_total = np.zeros(len(area_list))
+
+for i, area in enumerate(area_list):
+    temp = frac_of_total[area]['1']
+    if not np.isscalar(temp):
+        if sum(np.isfinite(temp)):
+            frac1_of_total[i] = np.nansum(temp) / sum(np.isfinite(temp))
+        else:
+            frac1_of_total[i] = np.nan
+    else:
+        frac1_of_total[i] = temp
+    temp = frac_of_total[area]['23']
+    if not np.isscalar(temp):
+        if sum(np.isfinite(temp)):
+            frac23_of_total[i] = np.nansum(temp) / sum(np.isfinite(temp))
+        else:
+            frac23_of_total[i] = np.nan
+    else:
+        frac23_of_total[i] = temp
+    temp = frac_of_total[area]['4']
+    if not np.isscalar(temp):
+        if sum(np.isfinite(temp)):
+            frac4_of_total[i] = np.nansum(temp) / sum(np.isfinite(temp))
+        else:
+            frac4_of_total[i] = np.nan
+    else:
+        frac4_of_total[i] = temp
+    temp = frac_of_total[area]['5']
+    if not np.isscalar(temp):
+        if sum(np.isfinite(temp)):
+            frac5_of_total[i] = np.nansum(temp) / sum(np.isfinite(temp))
+        else:
+            frac5_of_total[i] = np.nan
+    else:
+        frac5_of_total[i] = temp
+    temp = frac_of_total[area]['6']
+    if not np.isscalar(temp):
+        if sum(np.isfinite(temp)):
+            frac6_of_total[i] = np.nansum(temp) / sum(np.isfinite(temp))
+        else:
+            frac6_of_total[i] = np.nan
+    else:
+        frac6_of_total[i] = temp
+
+
+total_array = np.zeros(len(area_list))
+for i, area in enumerate(area_list):
+    total_array[i] = total[area]
+
+architecture_array = np.zeros(len(area_list))
+log_density_array = np.zeros(len(area_list))
+for i, area in enumerate(area_list):
+    architecture_array[i] = architecture_completed[area]
+    log_density_array[i] = np.log10(neuron_densities[area]['overall'])
+
+
+# ################################################################################
+scale = 1.0
+width = 7.5
+n_horz_panels = 3.
+n_vert_panels = 1.
+panel_factory = create_fig(1, scale, width, n_horz_panels,
+                           n_vert_panels, hoffset=0.06, voffset=0.19, height_sup=.2)
+
+axes = {}
+axes['A'] = panel_factory.new_panel(0, 0, r'A', label_position=(-0.2, 1.2))
+axes['B'] = panel_factory.new_panel(1, 0, r'B', label_position=(-0.2, 1.2))
+axes['C'] = panel_factory.new_panel(2, 0, r'C', label_position=(-0.2, 1.2))
+
+labels = ['A', 'B', 'C']
+for label in labels:
+    axes[label].spines['right'].set_color('none')
+    axes[label].spines['top'].set_color('none')
+    axes[label].yaxis.set_ticks_position("left")
+    axes[label].xaxis.set_ticks_position("bottom")
+
+
+ax = axes['A']
+x = np.arange(1, 9, 1)
+y = np.array([])
+for cat in x:
+    y = np.append(y, proc['category_density'][str(cat)]['overall'])
+
+layers = ['6', '5', '4', '23', '1'][::-1]
+layer_labels = ['6', '5', '4', '2/3', '1'][::-1]
+
+rho = {'1': np.array([]), '23': np.array([]), '4': np.array(
+    []), '5': np.array([]), '6': np.array([])}
+# Define a prototype area for each category, for which we do not have
+# laminar data so that its laminar thicknesses are computed from the
+# regression
+prototype = {'2': 'TH', '4': 'AITd', '5': 'CITd',
+             '6': 'V3A', '7': 'V2', '8': 'V1'}
+for l in layers:
+    if l != '1':
+        for cat in x:
+            if cat not in [1, 3]:
+                rho[l] = np.append(rho[l], proc['category_density'][str(cat)][
+                                   l] * proc['laminar_thicknesses'][prototype[str(cat)]][l])
+            else:
+                rho[l] = np.append(rho[l], np.nan)
+    else:
+        rho[l] = np.zeros(8)
+
+# ax.bar(x - 0.4, y)
+bottom = np.zeros(8)
+for l in layers[:]:
+    bottom += rho[l]
+
+for ii, l in enumerate(layers):
+    print(l,  rho[l][4], bottom[4])
+    bottom -= rho[l]
+    print("LAYER", l, bottom)
+    ax.bar(x - 0.4, rho[l], bottom=bottom,
+           color=colors[ii], label='L' + layer_labels[ii],
+           edgecolor='k')
+
+ax.set_xlabel('Architectural type', labelpad=0.3)
+ax.set_ylabel(r'Neuron density ($10^4$/mm$^2$)')
+yticklocs = [50000, 100000, 150000, 200000]
+ytickslabels = ['5', '10', '15', '20']
+ax.set_yticks(yticklocs)
+ax.set_yticklabels(ytickslabels)
+ax.set_ylim((0., 200000.))
+ax.set_xlim((-0.5, 9))
+ax.set_xticks(np.arange(2, 9, 1) - 0.4)
+ax.set_xticklabels([r'${}$'.format(ii) for ii in list(range(2, 9))])
+
+ax.legend(loc=(0.035, 0.45), edgecolor='k')
+
+
+##################################################
+# total thicknesses from Barbas lab vs architectural type
+
+
+# total cortical thicknesses from Barbas lab
+
+
+barbas_array = np.zeros(len(area_list))
+for i, area in enumerate(area_list):
+    barbas_array[i] = total_thickness_data[area] / 1000.
+
+
+gradient, intercept, r_value, p_value, std_err = stats.linregress(
+    log_density_array[np.isfinite(barbas_array)], barbas_array[np.isfinite(barbas_array)])
+
+print('total thicknesses from Barbas lab vs log. densities:')
+print('gradient: ', gradient)
+print('intercept: ', intercept)
+print('r-value: ', r_value)
+print('p-value: ', p_value)
+
+
+ax = axes['B']
+
+ax.plot(log_density_array, barbas_array, '.', ms=6, color='k')
+line = gradient * log_density_array + intercept
+ax.plot(log_density_array, line, '-', linewidth=1.5, color='k')
+ax.set_xlabel('Log neuron density', labelpad=0.3)
+ax.set_ylabel('Total thickness (mm)')
+# ax.set_xlim((0, 9))
+ax.set_xticks([4.7, 5.0])
+
+ax.set_yticks(np.arange(1., 3., 0.5))
+
+
+############################################################
+
+ax = axes['C']
+
+print('fractions of total thickness vs log. densities')
+layers = ['1', '23', '4', '5', '6']
+for i, data in enumerate([frac1_of_total, frac23_of_total,
+                          frac4_of_total, frac5_of_total, frac6_of_total]):
+    ax.plot(log_density_array, data, '.', c=colors[i], ms=6)
+    gradient, intercept, r_value, p_value, std_err = stats.linregress(
+        log_density_array[np.isfinite(data)], data[np.isfinite(data)])
+    print('r: ', r_value, ', p-value: ', p_value)
+    line = gradient * log_density_array + intercept
+    ax.plot(log_density_array, line, '-', linewidth=2.0, c=colors[i])
+
+ax.set_xlabel('Log neuron density', labelpad=0.3)
+ax.set_ylabel('Proportion of \n total thickness')  # ,size=16.5)
+ax.set_xlim((4.6, 5.3))
+ax.set_xticks([4.7, 5.0])
+ax.set_yticks(np.arange(0., 0.7, 0.2))
+
+pl.savefig('Fig2_anatomy.eps', dpi=600)
diff --git a/figures/Schmidt2017/Fig3_construction.py b/figures/Schmidt2017/Fig3_construction.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ef7db5284e70caf936c4df70987ca49d0312d27
--- /dev/null
+++ b/figures/Schmidt2017/Fig3_construction.py
@@ -0,0 +1,93 @@
+import json
+import matplotlib.pyplot as p
+import numpy as np
+import os
+import pyx
+
+from collections import OrderedDict
+from helpers import area_list, datapath, population_list
+from multiarea_model import MultiAreaModel
+from plotfuncs import create_fig
+
+"""
+Loading and procesing of data
+"""
+M = MultiAreaModel({})
+with open(os.path.join(datapath, 'viscortex_processed_data.json'), 'r') as f:
+    proc = json.load(f)
+density = proc['neuronal_densities']
+
+ordered_density = OrderedDict(
+    sorted(list(density.items()), key=lambda t: t[1]['overall'], reverse=True))
+
+average_indegree = {}
+for area in list(ordered_density.keys()):
+    s = 0
+    for pop in population_list:
+        for source_area in list(area_list):
+            for source_pop in population_list:
+                s += M.synapses[area][pop][source_area][source_pop]
+        s += M.synapses[area][pop]['external']['external']
+    average_indegree[area] = s / M.N[area]['total']
+
+indegrees = []
+num_list = []
+for area in list(ordered_density.keys()):
+    indegrees.append(average_indegree[area])
+    num_list.append(M.N[area]['total'])
+
+
+"""
+Layout
+"""
+scale = 1.0
+width = 3.31
+n_horz_panels = 1.
+n_vert_panels = 2.
+panel_factory = create_fig(
+    1, scale, width, n_horz_panels, n_vert_panels, voffset=0.2, hoffset=0.15)
+
+"""
+Plotting
+"""
+ax = panel_factory.new_panel(0, 0, 'A', label_position=-0.2)
+ax.set_frame_on(False)
+ax.yaxis.set_ticks_position("none")
+ax.xaxis.set_ticks_position("none")
+ax.set_xticks([])
+ax.set_yticks([])
+
+
+ax = panel_factory.new_panel(0, 1, 'B', label_position=-0.2)
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.yaxis.set_ticks_position("left")
+ax.xaxis.set_ticks_position("bottom")
+
+ax.bar(np.arange(32) + 0.2, indegrees,
+       width=0.8, edgecolor='none', color='0.33')
+ax.plot([0., 32.], [np.average(indegrees, weights=num_list),
+                    np.average(indegrees, weights=num_list)], '--', color='k')
+ax.set_xlabel(r'High neuron density ' +
+              r'$\rightarrow$' + r' low neuron density')
+ax.set_xticks([])
+ax.set_ylabel(r'Average indegree $(\times 10^3)$')
+ax.set_yticks([5000., 10000., 15000., 20000.])
+ax.set_yticklabels([r'5', r'10', r'15', r'20'])
+
+print(("Average indegree across all areas: {}".format(np.average(indegrees, weights=num_list))))
+
+p.savefig('Fig3_construction_mpl.eps')
+
+
+"""
+Merge with syntypes figure
+"""
+pyx.text.set(cls=pyx.text.LatexRunner)
+pyx.text.preamble(r"\usepackage{helvet}")
+
+c = pyx.canvas.canvas()
+c.insert(pyx.epsfile.epsfile(
+    0.4, 0., "Fig3_construction_mpl.eps", width=8.3))
+c.insert(pyx.epsfile.epsfile(1.4, 5.5, "Fig3_syntypes.eps", width=6.3))
+c.writeEPSfile("Fig3_construction.eps")
diff --git a/figures/Schmidt2017/Fig3_syntypes.eps b/figures/Schmidt2017/Fig3_syntypes.eps
new file mode 100644
index 0000000000000000000000000000000000000000..3a237f95357363c27b90b39609f40bc3aa438d8f
--- /dev/null
+++ b/figures/Schmidt2017/Fig3_syntypes.eps
@@ -0,0 +1,611 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%Creator: cairo 1.14.6 (http://cairographics.org)
+%%CreationDate: Mon Nov  6 19:35:20 2017
+%%Pages: 1
+%%DocumentData: Clean7Bit
+%%LanguageLevel: 3
+%%BoundingBox: 0 15 479 324
+%%EndComments
+%%BeginProlog
+save
+50 dict begin
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+(Defining )print 1 index =only( )print dup =only( obj)=
+}if
+0 ne{
+exch mark exch(An object generation )exch( isn't 0.)//error exec
+}if
+}bind def
+/endobj
+{
+//PDFR_DEBUG{
+(endobj )=
+}if
+count 1 eq {pop} {dup type/dicttype eq{
+dup/.endobj_daemon//knownget exec{
+//PDFR_DEBUG{(.endobj_daemon for )print 2 index =}if
+exec
+}if
+}if
+dup type/dicttype eq{dup/ImmediateExec known}{false}ifelse{
+pop pop
+}{
+//PDFR_DEBUG{
+(Storing )print 1 index =
+}if
+//RunTypeDaemon exec
+//DoNothing 3 1 roll//Register exec
+}ifelse
+}ifelse}bind def
+/StoreBlock
+{
+//PDFR_DEBUG{
+(StoreBlock )print//PDFReader/BlockCount get =only(, Length = )print dup length =
+}if
+dup length string copy
+//PDFReader/BlockCount get exch
+//PDFReader/CurrentObject get 3 1 roll
+put
+//PDFReader/BlockCount get 1 add
+//PDFReader exch/BlockCount exch put
+}bind def
+/CheckLength
+{dup type/integertype ne{
+mark(Object length isn't an integer.)//error exec
+}if
+}bind def
+/ResolveD
+{
+3 copy pop get
+dup//IsObjRef exec{
+//PDFR_DEBUG{
+(Resolving )print//PrintReference exec
+}if
+exec
+exch exec
+}{
+exch pop
+}ifelse
+dup 4 1 roll
+put
+}bind def
+/ResolveA
+{2 index 2 index get
+dup//IsObjRef exec{
+exec
+exch exec
+3 copy put
+}{
+exch pop
+}ifelse
+exch pop exch pop
+}bind def
+/StoreStream
+{
+dup//PDFReader exch/CurrentObject exch put
+//PDFReader/BlockCount 0 put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(StoreStream Length = )print dup =
+}if
+currentfile exch()/SubFileDecode filter
+{dup//BlockBuffer readstring{
+//StoreBlock exec
+}{
+//StoreBlock exec
+exit
+}ifelse
+}loop
+pop
+//PDFReader/CurrentObject null put
+//PDFR_DEBUG{
+(StoreStream end.)=
+}if
+}bind def
+/MakeStreamDumper
+{
+//PDFR_DEBUG{
+(MakeStreamDumper beg.)=
+}if
+currentglobal exch dup gcheck setglobal
+[exch
+1 dict dup/c 0 put exch
+1024 string
+{readstring pop
+(StreamDumper )print 1 index/c get =string cvs print( )print
+dup length =string cvs print( <)print dup print(>\n)print
+dup length
+3 2 roll
+dup/c get
+3 2 roll
+add/c exch put
+}/exec load
+]
+cvx 0()/SubFileDecode filter
+exch setglobal
+//PDFR_DEBUG{
+(MakeStreamDumper end.)=
+}if
+}bind def
+/ShortFilterNames 15 dict begin
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/AppendFilters
+{
+//PDFR_DEBUG{
+(AppendFilters beg.)=
+}if
+dup 3 1 roll
+/Filter//knownget exec{
+dup type/nametype eq{
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+2 index/DecodeParms//knownget exec{
+exch
+}if
+filter
+}{
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+3 1 roll
+4 index/DecodeParms//knownget exec{
+exch get
+}{
+pop null
+}ifelse
+dup null eq{
+pop 3 1 roll filter exch
+}{
+3 1 roll
+4 1 roll filter exch
+}ifelse
+}for
+pop
+}ifelse
+//PDFR_DEBUG//PDFR_DUMP and{
+//MakeStreamDumper exec
+}if
+}if
+exch pop
+//PDFR_DEBUG{
+(AppendFilters end.)=
+}if
+}bind def
+/ExecuteStream
+{
+dup//PDFReader exch/CurrentObject exch put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(ExecuteStream id = )print 2 index =only( Length = )print dup =
+}if
+//PDFReader/InitialGraphicState get
+//PDFReader/GraphicState get copy pop
+//PDFReader/Operators get begin
+currentfile exch ()/SubFileDecode filter
+1 index//AppendFilters exec
+cvx mark exch
+exec
+counttomark 0 ne{
+mark(Data left on ostack after an immediate stream execution.)//error exec
+}if
+cleartomark
+end
+//PDFR_DEBUG{
+(ExecuteStream end.)=
+}if
+//PDFReader/CurrentObject null put
+dup/IsPage known{
+dup/Context get/NumCopies//knownget exec{
+1 sub{
+copypage
+}repeat
+}if
+EPS2Write not {showpage} if
+}if
+}bind def
+/stream
+{
+//PDFR_DEBUG{
+1 index =only( stream)=
+}if
+1 index GetObject{
+dup xcheck{
+exec
+1 index null PutObject
+}{
+pop
+}ifelse
+}if
+dup/ImmediateExec known{
+dup/GlobalExec//knownget exec{
+currentglobal 4 1 roll
+setglobal
+//ExecuteStream exec
+3 2 roll setglobal
+}{
+//ExecuteStream exec
+}ifelse
+}{
+//StoreStream exec
+}ifelse
+dup/.CleanResources//knownget exec{
+/All eq{
+//CleanAllResources exec
+}if
+}if
+}bind def
+/HookFont
+{
+//PDFR_DEBUG{
+(Loaded the font )print dup/FontName get =
+}if
+{
+dup/FontFileType get dup/Type1 eq exch/MMType1 eq or{
+dup/FontName get
+//PDFReader/RemoveFontNamePrefix get exec
+findfont
+exit
+}if
+dup/FontFileType get/TrueType eq{
+//PDFReader/MakeType42 get exec
+//PDFR_DEBUG{
+(Font dict <<)=
+dup{
+1 index/sfnts eq{
+exch pop
+(/sfnts [)print
+{
+(-string\()print length//=only exec(\)- )=
+}forall
+(])=
+}{
+exch//=only exec( )print ==
+}ifelse
+}forall
+(>>)=
+}if
+dup/FontName get exch definefont
+exit
+}if
+mark(FontHook has no proc for )2 index/FontFileType get//error exec
+}loop
+/Font exch put
+}bind def
+/endstream
+{
+}bind def
+/xref
+{
+//PDFR_DEBUG{
+(xref)=
+//PDFR_DUMP{
+//PDFReader/ObjectRegistry get ==
+}if
+}if
+end
+count 0 ne{
+mark(Excessive data on estack at the end of the interpretation.)//error exec
+}if
+currentfile 1(%%EOF)/SubFileDecode filter
+flushfile
+cleardictstack
+}bind def
+/ResolveDict
+{dup{
+pop 1 index exch
+//DoNothing//ResolveD exec
+pop
+}forall
+pop
+}bind def
+/SetupPageView
+{
+//PDFR_DEBUG{
+(SetupPageView beg)=
+}if
+//DSC_OPDFREAD not{
+//GraphicState/InitialMatrix get setmatrix
+}if
+/MediaBox get aload pop
+3 index neg 3 index neg translate
+3 -1 roll sub 3 1 roll exch sub exch
+userdict/.HWMargins//knownget exec{
+aload pop
+}{
+currentpagedevice/.HWMargins//knownget exec{
+aload pop
+}{
+0 0 0 0
+}ifelse
+}ifelse
+currentpagedevice/PageSize get aload pop
+3 -1 roll sub 3 1 roll exch sub exch
+exch 3 index sub exch 3 index sub
+//SetPageSize{
+//PDFR_DEBUG{
+(Setting page size to )print 1 index//=only exec( )print dup =
+}if
+pop pop 3 index 3 index 2 copy
+currentglobal false setglobal 3 1 roll
+currentpagedevice dup /PageSize known{
+/PageSize get aload pop}{
+0 0}ifelse
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and{
+//PDFR_DEBUG{(PageSize matches request) == flush}if
+pop pop}{
+/MediaRequested where {
+//PDFR_DEBUG{(MediaRequested is true, check against new request) == flush}if
+/MediaRequested get aload pop
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and
+{//PDFR_DEBUG{(MediaRequested same as current request, ignore) == flush}if pop pop false}
+{//PDFR_DEBUG{(MediaRequested different to current request) == flush}if true}ifelse
+}{
+//PDFR_DEBUG{(No MediaRequested yet) == flush}if
+true
+}ifelse
+{
+//PDFR_DEBUG{(Setting pagesize) == flush}if
+2 array astore
+dup /MediaRequested exch def
+<< exch /PageSize exch >> setpagedevice
+}if
+}ifelse
+userdict/PDFR_InitialGS gstate put
+setglobal
+}if
+//RotatePages{
+2 copy gt 6 index 6 index gt ne{
+1 index 5 index le 1 index 5 index le and not
+}{
+false
+}ifelse
+}{
+false
+}ifelse
+{//CenterPages{
+//PDFR_DEBUG{
+(Rotating page, and then centering it)==
+}if
+90 rotate
+0 5 index neg translate
+5 index 1 index exch sub 2 div
+2 index 6 index sub 2 div neg
+translate
+}{
+//FitPages{
+1 index 5 index div 1 index 7 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+90 rotate
+0 5 index neg translate
+}ifelse
+}{
+//CenterPages{
+//PDFR_DEBUG{
+(Ccentering page)==
+}if
+1 index 6 index sub 2 div
+1 index 6 index sub 2 div
+translate
+}{
+//FitPages{
+1 index 6 index div 1 index 6 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+}ifelse
+}ifelse
+pop pop
+translate
+pop pop
+//PDFR_DEBUG{
+(SetupPageView end)=
+}if
+}bind def
+/PageContentsDaemon
+{
+//PDFR_DEBUG{
+(Executing PageContentsDaemon for )print 2 index =
+}if
+1 index exch/Context exch put
+dup/ImmediateExec true put
+dup/IsPage true put
+SetPageSize {dup/Context get//SetupPageView exec}if
+}bind def
+/FontFileDaemon
+{
+//PDFR_DEBUG{
+(Executing FontFileDaemon for )print 2 index =
+}if
+dup/FontFileType get
+2 index exch
+dup//ReadFontProcs exch//knownget exec{
+exch pop exec
+}{
+mark(FontFile reader for )2 index( isn't implemented yet.)//error exec
+}ifelse
+//PDFR_DEBUG{
+(FontFileDaemon end)=
+}if
+pop
+}bind def
+/FontDescriptorDaemon
+{
+//PDFR_DEBUG{
+(Executing FontDescriptorDaemon for )print 2 index =
+}if
+2 copy/FontResource exch put
+/Subtype get 1 index exch/FontFileType exch put
+}bind def
+/UnPDFEscape{
+dup dup length string cvs
+dup(#)search{
+{
+pop
+(16#--)2 index 0 2 getinterval
+1 index 3 2 getinterval copy pop
+cvi
+0 exch put
+0
+1 index 2 1 index length 2 sub getinterval
+3 copy putinterval
+length
+3 copy exch put
+getinterval
+(#)search not{
+pop exit
+}if
+}loop
+(\0)search pop exch pop exch pop
+cvn
+exch pop
+}{
+pop pop
+}ifelse
+}bind def
+/TypeDaemons<<
+/Page
+{//PDFR_DEBUG{
+(Recognized a page.)=
+}if
+dup/Contents//knownget exec{
+0 get//DoNothing exch
+[
+3 index//PageContentsDaemon/exec load
+]cvx
+//Register exec
+}{
+(fixme: page with no Contents won't be printed.)=
+}ifelse
+}bind
+/FontDescriptor
+{//PDFR_DEBUG{
+(Recognized a font descriptor.)=
+}if
+dup/FontName//knownget exec{
+1 index/FontName 3 -1 roll//UnPDFEscape exec put
+}if
+dup dup/FontFile known{/FontFile}{/FontFile2}ifelse
+//knownget exec{
+0 get//DoNothing exch
+[
+3 index//FontFileDaemon/exec load
+]cvx
+//Register exec
+}{
+(Font descriptor )print 1 index =only( has no FontFile.)=
+}ifelse
+}bind
+/Font
+{//PDFR_DEBUG{
+(Recognized a font resource.)=
+}if
+dup/BaseFont//knownget exec{
+//UnPDFEscape exec 2 copy/BaseFont exch put
+//PDFReader/RemoveFontNamePrefix get exec
+currentglobal exch
+dup/Font resourcestatus{
+pop pop
+//PDFReader/GetInstalledFont get exec pop
+}{
+pop
+}ifelse
+setglobal
+}if
+dup/FontDescriptor//knownget exec{
+0 get
+dup//IsRegistered exec{
+//PDFR_DEBUG{
+(already registered )print dup =
+}if
+pop
+}{
+//DoNothing exch
+[
+3 index//FontDescriptorDaemon/exec load
+]cvx
+//Register exec
+}ifelse
+}if
+}bind
+>>def
+/MakeStreamReader
+{dup
+[
+exch
+//PDFR_DEBUG{
+(Stream proc )
+/print load
+//PDFR_STREAM{
+(<)
+/print load
+}if
+}if
+1 dict dup/i -1 put
+/dup load
+/i
+/get load
+1
+/add load
+/dup load
+3
+1
+/roll load
+/i
+/exch load
+/put load
+//knownget
+/exec load
+/not load
+{()}
+/if load
+//PDFR_DEBUG{
+//PDFR_STREAM{
+/dup load
+/print load
+(>)
+/print load
+}if
+( end of stream proc.\n)
+/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Stream reader )print dup ==
+}if
+0()/SubFileDecode filter
+exch//AppendFilters exec
+}bind def
+/RunDelayedStream
+{
+//GraphicState/InitialTextMatrix get
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get
+2 copy get null eq{
+2 copy currentglobal true setglobal matrix exch setglobal put
+}if
+get copy pop
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 add put
+//MakeStreamReader exec
+mark exch
+cvx exec
+counttomark 0 ne{
+mark(Data left on ostack after a delayed stream execution.)//error exec
+}if
+cleartomark
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 sub put
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get get
+//GraphicState/InitialTextMatrix get
+copy pop
+}bind def
+//ReadFontProcs begin
+/Type1
+{//PDFR_DEBUG{
+(ReadFontProcs.Type1)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+dup/ImmediateExec true put
+/GlobalExec true put
+}bind def
+/MMType1//Type1 def
+/TrueType
+{//PDFR_DEBUG{
+(ReadFontProcs.TrueType)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+pop
+}bind def
+end
+/.opdloadttfontdict 50 dict def
+.opdloadttfontdict begin
+/maxstring 65400 def
+end
+/.InsertionSort
+{
+/CompareProc exch def
+/Array exch def
+1 1 Array length 1 sub
+{
+/Ix exch def
+/Value1 Array Ix get def
+/Jx Ix 1 sub def
+{
+Jx 0 lt{
+exit
+}if
+/Value2 Array Jx get def
+Value1 Value2 CompareProc{
+exit
+}if
+Array Jx 1 add Value2 put
+/Jx Jx 1 sub def
+}loop
+Array Jx 1 add Value1 put
+}for
+Array
+}bind def
+/putu16{
+3 copy -8 bitshift put
+exch 1 add exch 16#ff and put
+}bind def
+/putu32{
+3 copy -16 bitshift putu16
+exch 2 add exch 16#ffff and putu16
+}bind def
+/.readtable{
+dup dup 1 and add string
+dup 0 4 -1 roll getinterval
+3 -1 roll exch
+dup()ne{readstring}if pop pop
+}bind def
+/.readbigtable{
+dup maxstring lt{
+.readtable
+}{
+currentuserparams/VMReclaim get -2 vmreclaim
+[4 2 roll{
+dup maxstring le{exit}if
+1 index maxstring string readstring pop 3 1 roll maxstring sub
+}loop .readtable]
+exch vmreclaim
+}ifelse
+}bind def
+/ReadTTF
+{
+.opdloadttfontdict begin
+/TTFontFile exch def
+/TableDir TTFontFile 12 string readstring pop def
+/tables TTFontFile TableDir 4 getu16 16 mul string readstring pop def
+/tabarray tables length 16 idiv array def
+TableDir 0 4 getinterval(ttcf)eq{
+QUIET not{(Can't handle TrueType font Collections.)=}if
+/.loadttfonttables cvx/invalidfont signalerror
+}{
+0 16 tables length 1 sub{
+dup
+tables exch 16 getinterval
+exch 16 div cvi exch
+tabarray 3 1 roll put
+}for
+}ifelse
+tabarray{exch 8 getu32 exch 8 getu32 gt}.InsertionSort pop
+/Read TableDir length tables length add def
+/tabs[
+tabarray{
+dup 8 getu32
+Read sub
+dup 0 gt{
+dup string TTFontFile exch readstring pop pop
+Read add/Read exch def
+}{
+pop
+}ifelse
+12 getu32
+dup Read add
+/Read exch def
+TTFontFile exch .readbigtable
+}forall
+]def
+end
+}bind def
+/GetLocaType
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(head)eq{
+tabs exch get
+50 gets16
+/LocaType exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/GetNumGlyphs
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(maxp)eq{
+tabs exch get
+4 getu16
+/NumGlyphs exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/StringToLoca
+{
+/LocaIndex exch def
+/StringOffset 0 def
+{
+dup length StringOffset gt{
+dup
+LocaType 1 eq{
+StringOffset getu32
+LocaArray LocaIndex 3 -1 roll put
+/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 4 add
+def
+}{
+StringOffset getu16 2 mul
+LocaArray length LocaIndex gt {LocaArray LocaIndex 3 -1 roll put}{pop}ifelse/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 2 add
+def
+}ifelse
+}{
+pop
+LocaIndex
+exit
+}ifelse
+}loop
+}bind def
+/GetSortedLoca
+{
+NumGlyphs 1 add array/LocaArray exch def
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(loca)eq{
+tabs exch get
+exit
+}{
+pop
+}ifelse
+}for
+dup type/stringtype eq{
+0 StringToLoca pop
+}{
+0 exch
+{
+exch StringToLoca
+}forall
+pop
+}ifelse
+LocaArray{gt}.InsertionSort pop
+}bind def
+/GetWorkingString
+{
+WorkString 0
+GlyfArray GlyfStringIndex get
+putinterval
+/WorkBytes GlyfArray GlyfStringIndex get length def
+/GlyfStringIndex GlyfStringIndex 1 add def
+}bind def
+/GetWorkingBytes
+{
+/BytesToRead exch def
+WorkString 0 BytesToRead getinterval
+dup length string copy
+WorkString BytesToRead WorkBytes BytesToRead sub getinterval
+dup length string copy
+WorkString 0 3 -1 roll putinterval
+/WorkBytes WorkBytes BytesToRead sub def
+}bind def
+/GetGlyfBytes
+{
+/ToRead exch def
+WorkBytes 0 eq{
+GetWorkingString
+}if
+WorkBytes ToRead ge{
+ToRead string dup 0
+ToRead GetWorkingBytes putinterval
+}{
+ToRead string
+dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+ToRead WorkBytes sub
+GetWorkingString
+GetWorkingBytes
+putinterval
+}ifelse
+}bind def
+/SplitGlyf
+{
+/GlyfArray exch def
+/DestArray GlyfArray length 2 mul array def
+/DestArrayIndex 0 def
+/LastLoca 0 def
+/NextLocaIndex 0 def
+/LastLocaIndex 0 def
+/GlyfStringIndex 0 def
+/WorkString maxstring string def
+/WorkBytes 0 def
+{
+LocaArray NextLocaIndex get
+LastLoca sub maxstring gt
+{
+LocaArray LastLocaIndex get LastLoca sub
+GetGlyfBytes
+DestArray DestArrayIndex 3 -1 roll put
+/DestArrayIndex DestArrayIndex 1 add def
+LocaArray LastLocaIndex get/LastLoca exch def
+}{
+/LastLocaIndex NextLocaIndex def
+/NextLocaIndex NextLocaIndex 1 add def
+NextLocaIndex NumGlyphs gt
+{
+WorkBytes
+GlyfStringIndex GlyfArray length lt{
+GlyfArray GlyfStringIndex get length
+add string dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+GetWorkingString
+WorkString 0 WorkBytes getinterval
+putinterval
+}{
+pop
+WorkString 0 WorkBytes getinterval
+}ifelse
+dup length string copy
+DestArray DestArrayIndex 3 -1 roll put
+exit
+}if
+}ifelse
+}loop
+DestArray
+}bind def
+/ProcessTTData
+{
+.opdloadttfontdict begin
+0 1 tabarray length 1 sub{
+/ix exch def
+tabarray ix get
+12 getu32 dup maxstring le{
+dup 4 mod 0 ne{
+4 div cvi 1 add 4 mul string/newstring exch def
+/oldstring tabs ix get def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix newstring put
+}{
+pop
+}ifelse
+}{
+dup 4 mod 0 ne{
+dup maxstring idiv maxstring mul sub
+4 idiv 1 add 4 mul string/newstring exch def
+tabs ix get
+dup length 1 sub dup/iy exch def get/oldstring exch def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix get iy newstring put
+}{
+pop
+}ifelse
+}ifelse
+}for
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+dup 12 getu32 maxstring gt{
+0 4 getinterval dup(glyf)eq{
+pop
+GetLocaType
+GetNumGlyphs
+GetSortedLoca
+dup tabs exch get
+SplitGlyf
+tabs 3 1 roll put
+}{
+(Warning, table )print print( > 64Kb\n)print
+pop
+}ifelse
+}{
+pop
+pop
+}ifelse
+}for
+end
+}bind def
+/Makesfnts
+{
+.opdloadttfontdict begin
+0
+tabs{
+dup type/stringtype eq{
+pop
+1 add
+}{
+{
+type/stringtype eq{
+1 add
+}if
+}forall
+}ifelse
+}forall
+1 add
+/TTOffset
+TableDir length
+tabarray length 16 mul add
+def
+0
+tabarray{
+exch dup 1 add
+3 1 roll
+dup
+tabs exch get
+dup type/stringtype eq{
+length
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}{
+0 exch
+{
+dup type/stringtype eq{
+length add
+}{
+pop
+}ifelse
+}forall
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}ifelse
+}forall
+pop
+array
+dup 0
+TableDir length
+tables length add
+string
+dup 0 TableDir putinterval
+dup 12 tables putinterval
+put
+dup
+/ix 1 def
+tabs{
+dup type/stringtype eq{
+ix exch
+put dup
+/ix ix 1 add def
+}{
+{
+dup type/stringtype eq{
+ix exch put dup
+/ix ix 1 add def
+}{
+pop
+}ifelse
+}forall
+}ifelse
+}forall
+pop
+end
+}bind def
+/MakeType42
+{
+//PDFR_DEBUG{
+(MakeType42 beg)=
+}if
+10 dict begin
+/FontName 1 index/FontName get def
+/FontType 42 def
+/FontMatrix[1 0 0 1 0 0]def
+/FontBBox 1 index/FontBBox get def
+dup/FontResource get
+dup/Encoding known{
+//PDFReader/ObtainEncoding get exec
+/Encoding get
+}{
+pop null
+}ifelse
+/PDFEncoding exch def
+/CharStrings 2 index//PDFReader/MakeTTCharStrings get exec def
+/sfnts 2 index//MakeStreamReader exec
+ReadTTF
+ProcessTTData
+Makesfnts
+def
+/Encoding StandardEncoding def
+/PaintType 0 def
+currentdict end
+//PDFR_DEBUG{
+(MakeType42 end)=
+}if
+}bind def
+/GetInstalledFont
+{
+dup//InstalledFonts exch knownget{
+exch pop
+}{
+dup findfont dup 3 1 roll
+//InstalledFonts 3 1 roll put
+}ifelse
+}bind def
+/RemoveFontNamePrefix
+{//=string cvs true
+0 1 5{
+2 index exch get//IsUpper exec not{
+pop false exit
+}if
+}for
+{(+)search{
+pop pop
+}if
+}if
+cvn
+}bind def
+/CheckFont
+{dup/Type get/Font ne{
+mark(Resource )3 index( must have /Type/Font .)//error exec
+}if
+}bind def
+/CheckEncoding
+{dup type/nametype ne{
+dup/Type get/Encoding ne{
+mark(Resource )3 index( must have /Type/Encoding .)//error exec
+}if
+}if
+}bind def
+/ObtainEncoding
+{dup/Encoding known{
+dup dup/Encoding//CheckEncoding//ResolveD exec
+dup type dup/arraytype eq exch/packedarraytype eq or{
+pop pop
+}{
+dup type/nametype eq{
+/Encoding findresource
+}{
+dup/BaseEncoding//knownget exec not{
+/StandardEncoding
+}if
+/Encoding findresource
+exch
+/Differences//knownget exec{
+exch dup length array copy exch
+0 exch
+{
+dup type/integertype eq{
+exch pop
+}{
+3 copy put pop
+1 add
+}ifelse
+}forall
+pop
+}if
+}ifelse
+/Encoding exch put
+}ifelse
+}{
+dup/Encoding/StandardEncoding/Encoding findresource put
+}ifelse
+}bind def
+/ObtainMetrics
+{dup/Widths//knownget exec{
+1 index/Encoding get
+256 dict
+3 index/Subtype get/TrueType eq{
+1000
+}{
+1
+}ifelse
+4 index/MissingWidth//knownget exec not{
+0
+}if
+5 index/FirstChar//knownget exec not{
+0
+}if
+6 5 roll
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+exch 3 index add
+7 index exch get
+dup dup null ne exch/.notdef ne and{
+6 index 3 1 roll exch
+6 index div
+3 copy pop//knownget exec{
+0 eq
+}{
+true
+}ifelse
+{put
+}{
+pop pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}for
+pop pop pop pop exch pop
+1 index exch/Metrics exch put
+}{
+dup/MissingWidth//knownget exec{
+256 dict
+2 index/Encoding get{
+dup null ne{
+3 copy 3 2 roll put
+}if
+pop
+}forall
+exch pop
+1 index exch/Metrics exch put
+}if
+}ifelse
+}bind def
+/NotDef
+{
+FontMatrix aload pop pop pop exch pop exch pop
+1 exch div exch
+1 exch div exch
+1 index 0 setcharwidth
+0 setlinewidth
+0 0 moveto
+2 copy rlineto
+1 index 0 rlineto
+neg exch neg exch rlineto
+closepath stroke
+}bind def
+/SaveResourcesToStack{[//PDFReader/OldResources known{//PDFReader/OldResources get}{null}ifelse
+//PDFReader/CurrentObject get/Context get/Resources get]//PDFReader/OldResources 3 -1 roll put}bind def
+/RestoreResourcesFromStack{//PDFReader/OldResources get dup
+0 get//PDFReader/OldResources 3 -1 roll put
+1 get//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put} bind def
+/BuildChar
+{//PDFR_DEBUG{
+(BuildChar )print dup//=only exec( )print
+}if
+exch begin
+Encoding exch get
+//PDFR_DEBUG{
+dup =
+}if
+dup null eq{
+pop//NotDef exec
+}{
+CharProcs exch//knownget exec{currentfont/Font get/Resources//knownget exec{exec SaveResourcesToStack//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put//RunDelayedStream exec RestoreResourcesFromStack}{//RunDelayedStream exec}ifelse}{
+//NotDef exec
+}ifelse
+}ifelse
+end
+}bind def
+/printdict
+{(<<)=
+{exch = ==}forall
+(>>)=
+}bind def
+/printfont
+{
+dup{
+exch dup =
+dup/Encoding eq{
+pop =
+}{
+dup/FontInfo eq exch/Private eq or{
+//printdict exec
+}{
+==
+}ifelse
+}ifelse
+}forall
+}bind def
+/ScaleMetrics
+{1 index{
+2 index div
+3 index
+3 1 roll put
+}forall
+pop
+}bind def
+/ResolveAndSetFontAux
+{exch dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Font//DoNothing//ResolveD exec
+exch//CheckFont//ResolveD exec
+dup/Font//knownget exec{
+exch pop exch pop
+}{
+{
+dup/Subtype get dup dup/Type1 eq exch/TrueType eq or exch/MMType1 eq or{
+exch pop
+dup/BaseFont get
+//RemoveFontNamePrefix exec
+//PDFR_DEBUG{
+(Font )print dup =
+}if
+1 index/FontDescriptor known{
+//PDFR_DEBUG{
+(Font from a font descriptor.)=
+}if
+1 index
+/FontDescriptor//DoNothing//ResolveD exec
+/Font//knownget exec{
+exch pop
+}{
+//PDFR_DEBUG{
+(Font descriptor has no Font resolved.)=
+}if
+//GetInstalledFont exec
+}ifelse
+}{
+//GetInstalledFont exec
+}ifelse
+exch
+dup/Encoding known not{
+1 index/Encoding get 1 index exch/Encoding exch put
+}if
+//ObtainEncoding exec
+//ObtainMetrics exec
+exch
+dup length dict copy
+dup 2 index/Encoding get
+/Encoding exch put
+1 index/Metrics//knownget exec{
+2 index/Subtype get/TrueType ne{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+0.001 div
+//ScaleMetrics exec
+}{
+1 index/sfnts known not{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+//ScaleMetrics exec
+}if
+}ifelse
+1 index exch/Metrics exch put
+}if
+1 index/BaseFont get
+exch
+dup/FID undef
+dup/UniqueID undef
+definefont
+dup 3 1 roll
+/Font exch put
+exit
+}if
+dup/Subtype get/Type3 eq{
+//ObtainEncoding exec
+2 copy exch/FontName exch put
+dup/CharProcs get//ResolveDict exec
+dup/FontType 3 put
+dup/BuildChar//BuildChar put
+dup dup/Font exch put
+dup 3 1 roll
+definefont
+2 copy ne{
+2 copy/Font exch put
+}if
+exch pop
+exit
+}if
+dup/Subtype get/Type0 eq{
+}if
+dup/Subtype get/CIDFontType0 eq{
+}if
+dup/Subtype get/CIDFontType2 eq{
+}if
+mark(Unknown font type )2 index/Subtype get//error exec
+}loop
+}ifelse
+exch scalefont setfont
+}bind def
+/ResolveAndSetFont
+{
+//ResolveAndSetFontAux exec
+}bind def
+/.knownget
+{2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/.min
+{2 copy lt{
+exch
+}if
+pop
+}bind def
+/.max
+{2 copy gt{
+exch
+}if
+pop
+}bind def
+/.dicttomark
+{>>
+}bind def
+/getu16{
+2 copy get 8 bitshift 3 1 roll 1 add get add
+}bind def
+/gets16{
+getu16 16#8000 xor 16#8000 sub
+}bind def
+/getu32{
+2 copy getu16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/gets32{
+2 copy gets16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/cmapformats mark
+0{
+6 256 getinterval{}forall 256 packedarray
+}bind
+2{
+/sHK_sz 2 def
+/sH_sz 8 def
+dup 2 getu16/cmapf2_tblen exch def
+dup 4 getu16/cmapf2_lang exch def
+dup 6 256 sHK_sz mul getinterval/sHKs exch def
+0
+0 1 255{
+sHKs exch
+2 mul getu16
+1 index
+1 index
+lt{exch}if pop
+}for
+/sH_len exch def
+dup 6 256 sHK_sz mul add
+cmapf2_tblen 1 index sub getinterval
+/sH_gIA exch def
+/cmapf2_glyph_array 65535 array def
+/.cmapf2_putGID{
+/cmapf2_ch cmapf2_ch_hi 8 bitshift cmapf2_ch_lo add def
+firstCode cmapf2_ch_lo le
+cmapf2_ch_lo firstCode entryCount add lt
+and{
+sH_offset idRangeOffset add
+cmapf2_ch_lo firstCode sub 2 mul
+add 6 add
+sH_gIA exch getu16
+dup 0 gt{
+idDelta add
+cmapf2_glyph_array exch cmapf2_ch exch put
+}{
+pop
+}ifelse
+}{
+}ifelse
+}def
+16#00 1 16#ff{
+/cmapf2_ch_hi exch def
+sHKs cmapf2_ch_hi sHK_sz mul getu16
+/sH_offset exch def
+sH_gIA sH_offset sH_sz getinterval
+dup 0 getu16/firstCode exch def
+dup 2 getu16/entryCount exch def
+dup 4 gets16/idDelta exch def
+dup 6 getu16/idRangeOffset exch def
+pop
+sH_offset 0 eq{
+/cmapf2_ch_lo cmapf2_ch_hi def
+/cmapf2_ch_hi 0 def
+.cmapf2_putGID
+}{
+16#00 1 16#ff{
+/cmapf2_ch_lo exch def
+.cmapf2_putGID
+}for
+}ifelse
+}for
+pop
+0 1 cmapf2_glyph_array length 1 sub{
+dup cmapf2_glyph_array exch get
+null eq{cmapf2_glyph_array exch 0 put}{pop}ifelse
+}for
+cmapf2_glyph_array
+}bind
+4{
+/etab exch def
+/nseg2 etab 6 getu16 def
+14/endc etab 2 index nseg2 getinterval def
+2 add
+nseg2 add/startc etab 2 index nseg2 getinterval def
+nseg2 add/iddelta etab 2 index nseg2 getinterval def
+nseg2 add/idroff etab 2 index nseg2 getinterval def
+pop
+/firstcode startc 0 getu16 16#ff00 and dup 16#f000 ne{pop 0}if def
+/lastcode firstcode def
+/striptopbyte false def
+/putglyph{
+glyphs code 3 -1 roll put/code code 1 add def
+}bind def
+/numcodes 0 def/glyphs 0 0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+ecode lastcode gt {
+/lastcode ecode def
+}if
+}for pop
+firstcode 16#f000 ge lastcode firstcode sub 255 le and {
+lastcode 255 and
+/striptopbyte true def
+} {
+lastcode
+}ifelse
+1 add
+array def
+glyphs length 1024 ge{
+.array1024z 0 1024 glyphs length 1023 sub{glyphs exch 2 index putinterval}for
+glyphs dup length 1024 sub 3 -1 roll
+putinterval
+}{
+0 1 glyphs length 1 sub{glyphs exch 0 put}for
+}ifelse
+/numcodes 0 def/code 0 def
+0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+numcodes scode firstcode sub
+exch sub 0 .max dup/code exch code exch add def
+ecode scode sub 1 add add numcodes add/numcodes exch def
+/delta iddelta i2 gets16 def
+TTFDEBUG{
+(scode=)print scode =only
+( ecode=)print ecode =only
+( delta=)print delta =only
+( droff=)print idroff i2 getu16 =
+}if
+idroff i2 getu16 dup 0 eq{
+pop scode delta add 65535 and 1 ecode delta add 65535 and
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+{putglyph}for
+}{
+/gloff exch 14 nseg2 3 mul add 2 add i2 add add def
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+0 1 ecode scode sub{
+2 mul gloff add etab exch getu16
+dup 0 ne{delta add 65535 and}if putglyph
+}for
+}ifelse
+}for glyphs/glyphs null def
+}bind
+6{
+dup 6 getu16/firstcode exch def dup 8 getu16/ng exch def
+firstcode ng add array
+0 1 firstcode 1 sub{2 copy 0 put pop}for
+dup firstcode ng getinterval
+0 1 ng 1 sub{
+dup 2 mul 10 add 4 index exch getu16 3 copy put pop pop
+}for pop exch pop
+}bind
+.dicttomark readonly def
+/cmaparray{
+dup 0 getu16 cmapformats exch .knownget{
+TTFDEBUG{
+(cmap: format )print 1 index 0 getu16 = flush
+}if exec
+}{
+(Can't handle format )print 0 getu16 = flush
+0 1 255{}for 256 packedarray
+}ifelse
+TTFDEBUG{
+(cmap: length=)print dup length = dup ==
+}if
+}bind def
+/postremap mark
+/Cdot/Cdotaccent
+/Edot/Edotaccent
+/Eoverdot/Edotaccent
+/Gdot/Gdotaccent
+/Ldot/Ldotaccent
+/Zdot/Zdotaccent
+/cdot/cdotaccent
+/edot/edotaccent
+/eoverdot/edotaccent
+/gdot/gdotaccent
+/ldot/ldotaccent
+/zdot/zdotaccent
+.dicttomark readonly def
+/get_from_stringarray
+{1 index type/stringtype eq{
+get
+}{
+exch{
+2 copy length ge{
+length sub
+}{
+exch get exit
+}ifelse
+}forall
+}ifelse
+}bind def
+/getinterval_from_stringarray
+{
+2 index type/stringtype eq{
+getinterval
+}{
+string exch 0
+4 3 roll{
+dup length
+dup 4 index lt{
+3 index exch sub
+exch pop 3 1 roll exch pop
+}{
+dup 3 1 roll
+4 index sub
+5 index length 4 index sub
+2 copy gt{exch}if pop
+dup 3 1 roll
+5 index exch getinterval
+5 index 4 index 3 index
+getinterval
+copy pop
+exch pop add exch pop 0 exch
+dup 3 index length ge{exit}if
+}ifelse
+}forall
+pop pop
+}ifelse
+}bind def
+/string_array_size
+{dup type/stringtype eq{
+length
+}{
+0 exch{length add}forall
+}ifelse
+}bind def
+/postformats mark
+16#00010000{
+pop MacGlyphEncoding
+}
+16#00020000{
+dup dup type/arraytype eq{0 get}if length 36 lt{
+TTFDEBUG{(post format 2.0 invalid.)= flush}if
+pop[]
+}{
+/postglyphs exch def
+/post_first postglyphs dup type/arraytype eq{0 get}if def
+post_first 32 getu16/numglyphs exch def
+/glyphnames numglyphs 2 mul 34 add def
+/postpos glyphnames def
+/total_length postglyphs//string_array_size exec def
+numglyphs array 0 1 numglyphs 1 sub{
+postpos total_length ge{
+1 numglyphs 1 sub{1 index exch/.notdef put}for
+exit
+}if
+postglyphs postpos//get_from_stringarray exec
+postglyphs postpos 1 add 2 index//getinterval_from_stringarray exec cvn
+exch postpos add 1 add/postpos exch def
+2 index 3 1 roll
+put
+}for
+/postnames exch def
+numglyphs array 0 1 numglyphs 1 sub{
+dup 2 mul 34 add postglyphs exch 2//getinterval_from_stringarray exec
+dup 0 get 8 bitshift exch 1 get add dup 258 lt{
+MacGlyphEncoding exch get
+}{
+dup 32768 ge{
+pop/.notdef
+}{
+258 sub dup postnames length ge{
+TTFDEBUG{(   *** warning: glyph index past end of 'post' table)= flush}if
+pop
+exit
+}if
+postnames exch get
+postremap 1 index .knownget{exch pop}if
+}ifelse
+}ifelse
+2 index 3 1 roll put
+}for
+}
+ifelse
+}bind
+16#00030000{
+pop[]
+}bind
+.dicttomark readonly def
+/first_post_string
+{
+post dup type/arraytype eq{0 get}if
+}bind def
+/.getpost{
+/glyphencoding post null eq{
+TTFDEBUG{(post missing)= flush}if[]
+}{
+postformats first_post_string 0 getu32 .knownget{
+TTFDEBUG{
+(post: format )print
+first_post_string
+dup 0 getu16 =only(,)print 2 getu16 = flush
+}if
+post exch exec
+}{
+TTFDEBUG{(post: unknown format )print post 0 getu32 = flush}if[]
+}ifelse
+}ifelse def
+}bind def
+/TTParser<<
+/Pos 0
+/post null
+>>def
+/readu8
+{read not{
+mark(Insufficient data in the stream.)//error exec
+}if
+}bind def
+/readu16
+{dup//readu8 exec 8 bitshift exch//readu8 exec or
+}bind def
+/reads16
+{//readu16 exec 16#8000 xor 16#8000 sub
+}bind def
+/readu32
+{dup//readu16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/reads32
+{dup//reads16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/SkipToPosition
+{dup//TTParser/Pos get
+exch//TTParser exch/Pos exch put
+sub
+//PDFR_DEBUG{
+(Skipping )print dup//=only exec( bytes.)=
+}if
+dup 0 eq{
+pop pop
+}{
+dup 3 1 roll
+()/SubFileDecode filter
+exch
+{1 index//BlockBuffer readstring pop length
+dup 0 eq{pop exch pop exit}if
+sub
+}loop
+0 ne{
+mark(Insufficient data in the stream for SkipToPosition.)//error exec
+}if
+}ifelse
+}bind def
+/TagBuffer 4 string def
+/ParseTTTableDirectory
+{//PDFR_DEBUG{
+(ParseTTTableDirectory beg)=
+}if
+15 dict begin
+dup//readu32 exec 16#00010000 ne{
+mark(Unknown True Type version.)//error exec
+}if
+dup//readu16 exec/NumTables exch def
+dup//readu16 exec/SearchRange exch def
+dup//readu16 exec/EntrySelector exch def
+dup//readu16 exec/RangeShift exch def
+//PDFR_DEBUG{
+(NumTables = )print NumTables =
+}if
+NumTables{
+dup//TagBuffer readstring not{
+mark(Could not read TT tag.)//error exec
+}if
+cvn
+[2 index//readu32 exec pop
+2 index//readu32 exec
+3 index//readu32 exec
+]
+//PDFR_DEBUG{
+2 copy exch//=only exec( )print ==
+}if
+def
+}repeat
+pop
+//TTParser/Pos 12 NumTables 16 mul add put
+currentdict end
+//PDFR_DEBUG{
+(ParseTTTableDirectory end)=
+}if
+}bind def
+/ParseTTcmap
+{//PDFR_DEBUG{
+(ParseTTcmap beg)=
+}if
+/cmap get aload pop
+3 1 roll
+7 dict begin
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(cmap position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos get/TablePos exch def
+dup//readu16 exec pop
+dup//readu16 exec/NumEncodings exch def
+//PDFR_DEBUG{
+(NumEncodings = )print NumEncodings =
+}if
+null
+NumEncodings{
+1 index//readu32 exec
+2 index//readu32 exec
+3 array dup 3 2 roll 0 exch put
+2 index null ne{
+dup 0 get 3 index 0 get sub
+3 index exch 1 exch put
+}if
+dup 4 3 roll pop 3 1 roll
+def
+}repeat
+dup 0 get
+4 3 roll exch sub
+1 exch put
+//PDFR_DEBUG{
+currentdict{
+exch dup type/integertype eq{
+//PrintHex exec( )print ==
+}{
+pop pop
+}ifelse
+}forall
+}if
+4 NumEncodings 8 mul add/HeaderLength exch def
+//TTParser/Pos//TTParser/Pos get HeaderLength add put
+0
+NumEncodings{
+16#7FFFFFF null
+currentdict{
+1 index type/integertype eq{
+exch pop dup 0 get
+dup 5 index gt{
+dup 4 index lt{
+4 1 roll
+exch pop exch pop
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}forall
+//PDFR_DEBUG{
+(Obtaining subtable for )print dup ==
+}if
+3 2 roll pop
+3 copy pop
+TablePos add//SkipToPosition exec
+3 copy exch pop 1 get
+//TTParser/Pos//TTParser/Pos get 3 index add put
+string
+readstring not{
+mark(Can't read a cmap subtable.)//error exec
+}if
+2 exch put
+}repeat
+pop pop
+currentdict end
+//PDFR_DEBUG{
+(ParseTTcmap end)=
+}if
+}bind def
+/GetTTEncoding
+{//PDFR_DEBUG{
+(GetTTEncoding beg)=
+}if
+get
+exch pop
+2 get
+10 dict begin
+/TTFDEBUG//PDFR_DEBUG def
+//cmaparray exec
+end
+//PDFR_DEBUG{
+(GetTTEncoding end)=
+dup ==
+}if
+}bind def
+/InverseEncoding
+{
+256 dict begin
+dup length 1 sub -1 0{
+2 copy get
+exch
+1 index currentdict exch//knownget exec{
+dup type/arraytype eq{
+aload length 1 add array astore
+}{
+2 array astore
+}ifelse
+}if
+def
+}for
+pop
+currentdict end
+}bind def
+/GetMacRomanEncodingInverse
+{//PDFReader/MacRomanEncodingInverse get
+dup null eq{
+pop
+MacRomanEncoding//InverseEncoding exec
+dup//PDFReader exch/MacRomanEncodingInverse exch put
+}if
+}bind def
+/PutCharStringSingle
+{
+dup 3 index length lt{
+2 index exch get
+dup 0 ne{
+def
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/PutCharString
+{1 index type/nametype ne{
+mark(Bad charstring name)//error exec
+}if
+dup type/arraytype eq{
+{
+3 copy//PutCharStringSingle exec
+pop pop
+}forall
+pop
+}{
+//PutCharStringSingle exec
+}ifelse
+}bind def
+/ComposeCharStrings
+{
+//PDFR_DEBUG{
+(ComposeCharStrings beg)=
+}if
+1 index length 1 add dict begin
+/.notdef 0 def
+exch
+//TTParser/post get
+dup null ne{
+exch
+1 index length 1 sub -1 0{
+dup 3 index exch get exch
+dup 0 eq 2 index/.notdef eq or{
+pop pop
+}{
+def
+}ifelse
+}for
+}if
+exch pop exch
+{
+//PutCharString exec
+}forall
+pop
+currentdict end
+//PDFR_DEBUG{
+(ComposeCharStrings end)=
+}if
+}bind def
+/ParseTTpost
+{
+//PDFR_DEBUG{
+(ParseTTpost beg)=
+}if
+/post get aload pop
+3 1 roll
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(post position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos//TTParser/Pos get 4 index add put
+exch dup 65535 le{
+string
+readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}{
+[3 1 roll
+dup 16384 div floor cvi
+exch 1 index 16384 mul
+sub exch
+1 sub 0 1 3 -1 roll
+{
+1 add index
+16384 string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}for
+counttomark -2 roll
+string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+]
+}ifelse
+1 dict begin
+/post exch def
+//.getpost exec
+//TTParser/post glyphencoding put
+//PDFR_DEBUG{
+(ParseTTpost end)=
+glyphencoding ==
+}if
+end
+}bind def
+/MakeTTCharStrings
+{//MakeStreamReader exec
+dup dup//ParseTTTableDirectory exec
+//TTParser/post null put
+dup/post//knownget exec{
+0 get
+1 index/cmap get 0 get
+lt{
+2 copy//ParseTTpost exec
+//ParseTTcmap exec
+}{
+2 copy//ParseTTcmap exec
+3 1 roll
+//ParseTTpost exec
+}ifelse
+}{
+//ParseTTcmap exec
+}ifelse
+{
+dup 16#00030001 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Windows Unicode.)=
+}if
+16#00030001//GetTTEncoding exec
+AdobeGlyphList//ComposeCharStrings exec
+exit
+}if
+dup 16#00010000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Macintosh Roman.)=
+}if
+16#00010000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+dup 16#00030000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding 3.0 - not sure why Ghostscript writes it since old versions.)=
+}if
+16#00030000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+mark(True Type cmap has no useful encodings.)//error exec
+}loop
+//PDFR_DEBUG{
+(CharStrings <<)=
+dup{
+exch
+dup type/nametype eq{
+//=only exec
+}{
+==
+}ifelse
+( )print ==
+}forall
+(>>)=
+}if
+}bind def
+/ScaleVal
+{
+aload pop
+1 index sub
+3 2 roll mul add
+}bind def
+/ScaleArg
+{
+aload pop
+1 index sub
+3 1 roll
+sub exch div
+}bind def
+/ScaleArgN
+{
+dup length 2 sub -2 0{
+2
+2 index 3 1 roll getinterval
+3 2 roll
+exch//ScaleArg exec
+1 index length 2 idiv 1 add 1 roll
+}for
+pop
+}bind def
+/ComputeFunction_10
+{
+//PDFR_DEBUG{
+(ComputeFunction_10 beg )print 1 index//=only exec( stack=)print count =
+}if
+exch
+dup 1 eq{
+pop dup length 1 sub get
+}{
+1 index length 1 sub mul
+dup dup floor sub
+dup 0 eq{
+pop cvi get
+}{
+3 1 roll floor cvi
+2 getinterval
+aload pop
+2 index mul 3 2 roll 1 exch sub 3 2 roll mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_10 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/ComputeFunction_n0
+{
+//PDFR_DEBUG{
+(ComputeFunction_n0 beg N=)print dup//=only exec( stack=)print count =
+}if
+dup 0 eq{
+pop
+}{
+dup 2 add -1 roll
+dup 3 index length 1 sub ge{
+pop 1 sub
+exch dup length 1 sub get exch
+//PDFReader/ComputeFunction_n0 get exec
+}{
+dup floor cvi dup
+4 index exch get
+3 index dup
+5 add copy
+6 2 roll
+pop pop pop pop
+1 sub
+//PDFReader/ComputeFunction_n0 get exec
+3 2 roll pop
+exch
+4 3 roll exch
+4 add 2 roll 1 add
+3 2 roll exch get
+exch 1 sub
+//PDFReader/ComputeFunction_n0 get exec
+1 index mul
+3 1 roll
+1 exch sub mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_n0 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/FunctionToProc_x01
+{
+dup/Domain get exch
+dup/Data get 0 get exch
+/Size get length
+[4 1 roll
+//PDFR_DEBUG{
+{(function beg, stack =)print count//=only exec(\n)print}/exec load
+5 2 roll
+}if
+dup 1 gt{
+{mark exch
+3 add 2 roll
+//ScaleArgN exec
+counttomark dup
+3 add -2 roll
+pop exch
+//ComputeFunction_n0 exec
+}/exec load
+}{
+pop
+3 1/roll load//ScaleArg/exec load
+/exch load
+//ComputeFunction_10/exec load
+}ifelse
+//PDFR_DEBUG{
+(function end, stack =)/print load/count load//=only/exec load(\n)/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Made a procedure for the 1-result function :)=
+dup ==
+}if
+}bind def
+/FunctionProcDebugBeg
+{(FunctionProcDebugBeg )print count =
+}bind def
+/FunctionProcDebugEnd
+{(FunctionProcDebugEnd )print count =
+}bind def
+/FunctionToProc_x0n
+{
+PDFR_DEBUG{
+(FunctionToProc_x0n beg m=)print dup =
+}if
+1 index/Size get length exch
+dup 7 mul 2 add array
+PDFR_DEBUG{
+dup 0//FunctionProcDebugBeg put
+}{
+dup 0//DoNothing put
+}ifelse
+dup 1/exec load put
+dup 2 5 index/Domain get put
+2 index 1 eq{
+dup 3//ScaleArg put
+}{
+dup 3//ScaleArgN put
+}ifelse
+dup 4/exec load put
+1 index 1 sub 0 exch 1 exch{
+dup 7 mul 5 add
+1 index 4 index 1 sub ne{
+dup 3 index exch 6 index put 1 add
+dup 3 index exch/copy load put 1 add
+}if
+[
+6 index/Data get 3 index get
+6 index 1 eq{
+//ComputeFunction_10/exec load
+}{
+6 index
+//ComputeFunction_n0/exec load
+}ifelse
+]cvx
+3 index exch 2 index exch put 1 add
+2 index 1 index/exec load put 1 add
+1 index 4 index 1 sub ne{
+2 index 1 index 6 index 1 add put 1 add
+2 index 1 index 1 put 1 add
+2 index 1 index/roll load put
+}if
+pop pop
+}for
+PDFR_DEBUG{
+dup dup length 2 sub//FunctionProcDebugEnd put
+}{
+dup dup length 2 sub//DoNothing put
+}ifelse
+dup dup length 1 sub/exec load put
+cvx exch pop exch pop exch pop
+//PDFR_DEBUG{
+(Made a procedure for the n-argument function :)=
+dup ==
+}if
+PDFR_DEBUG{
+(FunctionToProc_x0n end)=
+}if
+}bind def
+/MakeTableRec
+{
+0
+exec
+}bind def
+/MakeTable
+{//PDFR_DEBUG{
+(MakeTable beg )print count =
+}if
+1 index/Size get exch
+1 sub dup
+3 1 roll
+get
+array
+1 index 0 eq{
+exch pop exch pop
+}{
+dup length 1 sub -1 0{
+3 index 3 index//MakeTableRec exec
+2 index 3 1 roll put
+}for
+exch pop exch pop
+}ifelse
+//PDFR_DEBUG{
+(MakeTable end )print count =
+}if
+}bind def
+//MakeTableRec 0//MakeTable put
+/StoreSample
+{
+1 sub
+dup 0 eq{
+pop
+}{
+-1 1{
+I exch get get
+}for
+}ifelse
+I 0 get 3 2 roll put
+}bind def
+/ReadSample32
+{
+4{
+File read not{
+mark(Insufficient data for function.)//error exec
+}if
+}repeat
+pop
+3 1 roll exch
+256 mul add 256 mul add
+//1_24_bitshift_1_sub div
+}bind def
+/ReadSample
+{
+Buffer BitsLeft BitsPerSample
+{2 copy ge{
+exit
+}if
+3 1 roll
+8 add 3 1 roll
+256 mul File read not{
+mark(Insufficient data for function.)//error exec
+}if
+add
+3 1 roll
+}loop
+sub dup
+2 index exch
+neg bitshift
+2 copy exch bitshift
+4 3 roll exch sub
+/Buffer exch def
+exch/BitsLeft exch def
+Div div
+}bind def
+/ReadSamplesRec
+{0
+exec
+}bind def
+/ReadSamples
+{
+//PDFR_DEBUG{
+(ReadSamples beg )print count =
+}if
+dup 1 eq{
+pop
+0 1 Size 0 get 1 sub{
+I exch 0 exch put
+0 1 M 1 sub{
+dup Range exch 2 mul 2 getinterval
+//PDFR_DEBUG{
+(Will read a sample ... )print
+}if
+BitsPerSample 32 eq{//ReadSample32}{//ReadSample}ifelse
+exec exch//ScaleVal exec
+//PDFR_DEBUG{
+(value=)print dup =
+}if
+exch Table exch get
+Size length//StoreSample exec
+}for
+}for
+}{
+1 sub
+dup Size exch get 0 exch 1 exch 1 sub{
+I exch 2 index exch put
+dup//ReadSamplesRec exec
+}for
+pop
+}ifelse
+//PDFR_DEBUG{
+(ReadSamples end )print count =
+}if
+}bind def
+//ReadSamplesRec 0//ReadSamples put
+/StreamToArray
+{//PDFR_DEBUG{
+(StreamToArray beg )print count =
+}if
+userdict/FuncDataReader get begin
+dup/BitsPerSample get/BitsPerSample exch def
+dup/Size get length/N exch def
+dup/Range get length 2 idiv/M exch def
+1 BitsPerSample bitshift 1 sub/Div exch def
+/BitsLeft 0 def
+/Buffer 0 def
+dup/Size get/Size exch def
+dup/Range get/Range exch def
+/File 1 index//MakeStreamReader exec def
+/I[N{0}repeat]def
+M array
+dup length 1 sub -1 0{
+2 index N//MakeTable exec
+2 index 3 1 roll put
+}for
+/Table exch def
+N//ReadSamples exec
+PDFR_DEBUG{
+(Table = )print Table ==
+}if
+/Data Table put
+end
+//PDFR_DEBUG{
+(StreamToArray end )print count =
+}if
+}bind def
+/FunctionToProc10
+{
+PDFR_DEBUG{
+(FunctionToProc10 beg, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+PDFR_DEBUG{
+(FunctionToProc10 end)=
+}if
+}bind def
+/FunctionToProc12
+{begin
+currentdict/C0//knownget exec{length 1 eq}{true}ifelse{
+N
+currentdict/C0//knownget exec{
+0 get
+}{
+0
+}ifelse
+currentdict/C1//knownget exec{
+0 get
+}{
+1
+}ifelse
+1 index sub
+[4 1 roll
+{
+4 2 roll
+exp mul add
+}aload pop
+]cvx
+}{
+[
+0 1 C0 length 1 sub{
+N
+C0 2 index get
+C1 3 index get
+4 3 roll pop
+1 index sub
+[/dup load
+5 2 roll
+{
+4 2 roll
+exp mul add
+exch
+}aload pop
+]cvx
+/exec load
+}for
+/pop load
+]cvx
+}ifelse
+end
+//PDFR_DEBUG{
+(FunctionType2Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc14
+{//MakeStreamReader exec cvx exec
+//PDFR_DEBUG{
+(FunctionType4Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc1
+{
+dup/FunctionType get
+{dup 0 eq{
+pop//FunctionToProc10 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc12 exec exit
+}if
+dup 4 eq{
+pop//FunctionToProc14 exec exit
+}if
+mark exch(Function type )exch( isn't implemented yet.)//error exec
+}loop
+}bind def
+/FunctionToProc20
+{
+PDFR_DEBUG{
+(FunctionToProc20, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+}bind def
+/FunctionToProc
+{//PDFR_DEBUG{
+(FunctionToProc beg )print count =
+}if
+dup type/dicttype eq{
+dup/Domain get length 2 idiv
+{
+dup 1 eq{
+pop//FunctionToProc1 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc20 exec exit
+}if
+mark(Functions with many arguments aren't implemented yet.)//error exec
+}loop
+}{
+//PDFR_DEBUG{(Not a function dict, assume already a procedure.)print}if
+}ifelse
+//PDFR_DEBUG{
+(FunctionToProc end )print count =
+}if
+}bind def
+/spotfunctions mark
+/Round{
+abs exch abs 2 copy add 1 le{
+dup mul exch dup mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}
+/Diamond{
+abs exch abs 2 copy add .75 le{
+dup mul exch dup mul add 1 exch sub
+}{
+2 copy add 1.23 le{
+.85 mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}ifelse
+}
+/Ellipse{
+abs exch abs 2 copy 3 mul exch 4 mul add 3 sub dup 0 lt{
+pop dup mul exch .75 div dup mul add 4 div 1 exch sub
+}{
+dup 1 gt{
+pop 1 exch sub dup mul exch 1 exch sub
+.75 div dup mul add 4 div 1 sub
+}{
+.5 exch sub exch pop exch pop
+}ifelse
+}ifelse
+}
+/EllipseA{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseA{dup mul .9 mul exch dup mul add 1 sub}
+/EllipseB{dup 5 mul 8 div mul exch dup mul exch add sqrt 1 exch sub}
+/EllipseC{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseC{dup mul .9 mul exch dup mul add 1 sub}
+/Line{exch pop abs neg}
+/LineX{pop}
+/LineY{exch pop}
+/Square{abs exch abs 2 copy lt{exch}if pop neg}
+/Cross{abs exch abs 2 copy gt{exch}if pop neg}
+/Rhomboid{abs exch abs 0.9 mul add 2 div}
+/DoubleDot{2{360 mul sin 2 div exch}repeat add}
+/InvertedDoubleDot{2{360 mul sin 2 div exch}repeat add neg}
+/SimpleDot{dup mul exch dup mul add 1 exch sub}
+/InvertedSimpleDot{dup mul exch dup mul add 1 sub}
+/CosineDot{180 mul cos exch 180 mul cos add 2 div}
+/Double{exch 2 div exch 2{360 mul sin 2 div exch}repeat add}
+/InvertedDouble{
+exch 2 div exch 2{360 mul sin 2 div exch}repeat add neg
+}
+.dicttomark readonly def
+/CheckColorSpace
+{
+dup type/arraytype ne{
+mark(Resource )3 index( must be an array.)//error exec
+}if
+}bind def
+/SubstitutePDFColorSpaceRec
+{0
+exec
+}bind def
+/SubstitutePDFColorSpace
+{
+{
+dup 0 get/Pattern eq{
+dup length 1 gt{
+dup dup 1//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+1 exch put
+}if
+exit
+}if
+dup 0 get/Indexed eq{
+exit
+}if
+dup 0 get/Separation eq{
+dup dup 2//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+2 exch put
+exit
+}if
+dup 0 get/CalGray eq{
+1 get
+dup/Gamma//knownget exec{
+[exch[exch/exp load]cvx dup dup]
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedA exch]
+exit
+}if
+dup 0 get/CalRGB eq{
+1 get
+dup/Matrix//knownget exec{
+1 index exch/MatrixLMN exch put
+}if
+dup/Gamma//knownget exec{
+aload pop
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+3 array astore
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedABC exch]
+exit
+}if
+dup 0 get/Lab eq{
+1 get
+begin
+currentdict/Range//knownget exec{aload pop}{-100 100 -100 100}ifelse
+0 100 6 2 roll 6 array astore
+/RangeABC exch def
+/DecodeABC[{16 add 116 div}bind{500 div}bind{200 div}bind]def
+/MatrixABC[1 1 1 1 0 0 0 0 -1]def
+{dup 6 29 div ge{dup dup mul mul}{4 29 div sub 108 841 div mul}ifelse}
+/DecodeLMN[
+[3 index aload pop WhitePoint 0 get/mul load]cvx
+[4 index aload pop WhitePoint 1 get/mul load]cvx
+[5 index aload pop WhitePoint 2 get/mul load]cvx
+]def pop
+//PDFR_DEBUG{
+(Constructed from Lab <<)=
+currentdict{exch = ==}forall
+(>>)=
+}if
+[/CIEBasedABC currentdict]
+end
+exit
+pop
+}if
+dup 0 get/CIEBasedA eq{exit}if
+dup 0 get/CIEBasedABC eq{exit}if
+mark exch(Unimplemented color space )exch//error exec
+}loop
+}bind def
+//SubstitutePDFColorSpaceRec 0//SubstitutePDFColorSpace put
+/ResolveArrayElement
+{2 copy get
+dup type dup/arraytype eq exch
+/packedarraytype eq or{
+dup length 1 ge exch xcheck and{
+2 copy get
+dup 0 get type/integertype eq
+1 index 1 get type dup/arraytype
+eq exch
+/packedarraytype eq or
+and{
+exec
+2 index 4 1 roll put
+}{
+pop pop
+}ifelse
+}{
+pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/ResolveColorSpaceArrayRec
+{0
+exec
+}bind def
+/SetColorSpaceSafe
+{
+PDFR_DEBUG{
+(SetColorSpaceSafe beg)=
+}if
+currentcolorspace dup type/arraytype eq{
+1 index type/arraytype eq{
+dup length 2 index length eq{
+false exch
+dup length 0 exch 1 exch 1 sub{
+dup
+4 index exch get exch
+2 index exch get
+ne{
+exch pop true exch exit
+}if
+}for
+pop
+{
+setcolorspace
+}{
+pop
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+PDFR_DEBUG{
+(SetColorSpaceSafe end)=
+}if
+}bind def
+/ResolveColorSpaceArray
+{
+//PDFR_DEBUG{
+(ResolveColorSpaceArray beg )print dup ==
+}if
+dup 0 get/Indexed eq{
+1//ResolveArrayElement exec
+dup dup 1 get
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArrayRec exec
+1 exch put
+}{
+pop pop
+}ifelse
+}if
+dup 0 get/Separation eq{
+dup dup 1 get UnPDFEscape 1 exch put
+3//ResolveArrayElement exec
+dup 3 get//FunctionToProc exec
+2 copy 3 exch put
+pop
+}if
+dup 0 get/Pattern eq{
+dup length 1 gt{dup
+1 get dup type/arraytype eq{
+ResolveColorSpaceArray
+1 index 1 3 -1 roll put
+}{pop}ifelse}if
+}if
+PDFR_DEBUG{
+(Construcrted color space :)=
+dup ==
+}if
+//PDFR_DEBUG{
+(ResolveColorSpaceArray end )print dup ==
+}if
+}bind def
+//ResolveColorSpaceArrayRec 0//ResolveColorSpaceArray put
+/ResolveColorSpace
+{
+//PDFR_DEBUG{
+(ResolveColorSpace beg )print dup =
+}if
+dup//SimpleColorSpaceNames exch known not{
+dup//PDFColorSpaces exch//knownget exec{
+exch pop
+//PDFR_DEBUG{
+(ResolveColorSpace known )=
+}if
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/ColorSpace//DoNothing//ResolveD exec
+exch//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArray exec
+dup//PDFColorSpaces 4 2 roll put
+}if
+}ifelse
+}if
+//PDFR_DEBUG{
+(ResolveColorSpace end )print dup ==
+}if
+}bind def
+/CheckPattern
+{
+dup/PatternType//knownget exec{
+dup 1 ne{
+mark(Resource )4 index( is a shading, which can't be handled at level 2. )//error exec
+}if
+pop
+}if
+dup/Type knownget{
+/Pattern ne{
+mark(Resource )4 index( must have /Type/Pattern .)//error exec
+}if
+}if
+}bind def
+/PaintProc
+{/Context get
+//RunDelayedStream exec
+}bind def
+/ResolvePattern
+{
+dup
+userdict/PDFR_Patterns get
+exch//knownget exec{
+exch pop
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Pattern//DoNothing//ResolveD exec
+exch//CheckPattern//ResolveD exec
+dup dup/Context exch put
+dup/Resources//DoNothing//ResolveD exec pop
+dup/PaintProc//PaintProc put
+gsave userdict/PDFR_InitialGS get setgstate
+currentglobal exch false setglobal
+dup/Matrix get
+makepattern
+exch setglobal
+grestore
+dup userdict/PDFR_Patterns get
+4 2 roll
+put
+}ifelse
+}bind def
+/SetColor
+{//PDFR_DEBUG{
+(SetColor beg)=
+}if
+currentcolorspace dup type/nametype eq{
+pop setcolor
+}{
+0 get/Pattern eq{
+//ResolvePattern exec setpattern
+}{
+setcolor
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(SetColor end)=
+}if
+}bind def
+/ImageKeys 15 dict begin
+/BPC/BitsPerComponent def
+/CS/ColorSpace def
+/D/Decode def
+/DP/DecodeParms def
+/F/Filter def
+/H/Height def
+/IM/ImageMask def
+/I/Interpolate def
+/W/Width def
+currentdict end readonly def
+/ImageValues 15 dict begin
+/G/DeviceGray def
+/RGB/DeviceRGB def
+/CMYK/DeviceCMYK def
+/I/Indexed def
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/GetColorSpaceRange
+{2 index/ColorSpace get
+dup type/arraytype eq{
+1 get
+}if
+exch//knownget exec{
+exch pop
+}if
+}bind def
+/DecodeArrays 15 dict begin
+/DeviceGray{[0 1]}def
+/DeviceRGB{[0 1 0 1 0 1]}def
+/DeviceCMYK{[0 1 0 1 0 1 0 1]}def
+/Indexed{
+dup/BitsPerComponent get 1 exch bitshift 1 sub[exch 0 exch]
+}def
+/Separation{[0 1]}def
+/CIEBasedA{[0 1]/RangeA//GetColorSpaceRange exec}def
+/CIEBasedABC{[0 1 0 1 0 1]/RangeABC//GetColorSpaceRange exec}def
+currentdict end readonly def
+/Substitute
+{1 index//knownget exec{
+exch pop
+}if
+}bind def
+/DebugImagePrinting
+{
+//PDFR_DEBUG{
+(Image :)=
+dup{exch//=only exec( )print ==
+}forall
+}if
+}bind def
+/CompleteImage
+{
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec pop
+}if
+dup/Decode known not{
+dup/ColorSpace//knownget exec{
+dup type/arraytype eq{
+0 get
+}if
+//DecodeArrays exch get exec
+}{
+[0 1]
+}ifelse
+1 index exch/Decode exch put
+}if
+dup/ImageMatrix[2 index/Width get 0 0 5 index/Height get neg
+0 7 index/Height get]put
+//DebugImagePrinting exec
+}bind def
+/CompleteInlineImage
+{
+//PDFR_DEBUG{
+(CompleteInlineImage beg)=
+}if
+dup/ImageType known not{
+dup/ImageType 1 put
+}if
+dup length dict exch{
+exch//ImageKeys//Substitute exec
+dup/Filter eq{
+exch//ImageValues//Substitute exec exch
+}if
+dup/ColorSpace eq{
+exch
+dup//ImageValues exch//knownget exec{
+exch pop
+}{
+//ResolveColorSpace exec
+}ifelse
+exch
+}if
+exch
+2 index 3 1 roll put
+}forall
+//CompleteImage exec
+dup/DataSource 2 copy get
+2 index//AppendFilters exec put
+//PDFR_DEBUG{
+(CompleteInlineImage end)=
+}if
+}bind def
+/CompleteOutlineImage
+{
+currentglobal exch dup gcheck setglobal
+//PDFR_DEBUG{
+(CompleteOutlineImage beg)=
+}if
+dup dup//MakeStreamReader exec/DataSource exch put
+dup/ImageType known not{
+//CompleteImage exec
+dup/ImageType 1 put
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//ResolveColorSpaceArray exec
+//SubstitutePDFColorSpace exec
+1 index exch/ColorSpace exch put
+}{
+pop
+}ifelse
+}if
+}if
+//PDFR_DEBUG{
+(CompleteOutlineImage end)=
+}if
+exch setglobal
+}bind def
+/DoImage
+{
+//PDFR_DEBUG{
+(DoImage beg)=
+}if
+gsave
+dup/ColorSpace//knownget exec{setcolorspace}if
+dup/ImageMask//knownget exec not{false}if
+{imagemask}{image}ifelse
+grestore
+//PDFR_DEBUG{
+(DoImage end)=
+}if
+}bind def
+/GSave
+{
+gsave
+//PDFReader/GraphicStateStackPointer get
+dup//GraphicStateStack exch get null eq{
+dup//GraphicStateStack exch//InitialGraphicState length dict put
+}if
+dup//GraphicStateStack exch get
+//GraphicState exch copy pop
+1 add//PDFReader exch/GraphicStateStackPointer exch put
+}bind def
+/GRestore
+{
+grestore
+//PDFReader/GraphicStateStackPointer get
+1 sub dup
+//PDFReader exch/GraphicStateStackPointer exch put
+//GraphicStateStack exch get
+//GraphicState copy pop
+}bind def
+/SetFont
+{dup//GraphicState exch/FontSize exch put
+//ResolveAndSetFont exec
+//GraphicState/FontMatrixNonHV currentfont/FontMatrix get 1 get 0 ne put
+}bind def
+/ShowText
+{//GraphicState/TextRenderingMode get 0 eq{
+//GraphicState/WordSpacing get 0
+32
+//GraphicState/CharacterSpacing get 0
+6 5 roll
+//GraphicState/FontMatrixNonHV get{
+[
+7 -2 roll pop
+5 -2 roll pop
+5 -1 roll
+{
+exch
+pop
+3 index add
+exch 2 index eq{3 index add}if
+4 1 roll
+}
+currentfont/FontMatrix get 0 get 0 ne{
+1 1 index length 1 sub getinterval cvx
+}if
+5 index
+cshow
+pop pop pop]
+xshow
+}{
+awidthshow
+}ifelse
+}{
+//GraphicState/CharacterSpacing get 0 eq
+//GraphicState/FontMatrixNonHV get not and
+//GraphicState/WordSpacing get 0 eq and{
+true charpath
+}{
+{
+exch
+pop 0
+currentpoint 5 4 roll
+( )dup 0 3 index put true charpath
+5 1 roll
+moveto rmoveto
+//GraphicState/CharacterSpacing get 0 rmoveto
+32 eq{
+//GraphicState/WordSpacing get 0 rmoveto
+}if
+}
+//GraphicState/FontMatrixNonHV get dup not exch{
+pop currentfont/FontMatrix get 0 get 0 ne
+}if{
+1 1 index length 1 sub getinterval cvx
+}if
+exch cshow
+}ifelse
+}ifelse
+}bind def
+/ShowTextBeg
+{//GraphicState/TextRenderingMode get 0 ne{
+currentpoint newpath moveto
+}if
+}bind def
+/ShowTextEnd
+{//GraphicState/TextRenderingMode get
+{dup 1 eq{
+stroke exit
+}if
+dup 2 eq{
+gsave fill grestore stroke exit
+}if
+dup 3 eq{
+currentpoint newpath moveto
+}if
+dup 4 eq{
+gsave fill grestore clip exit
+}if
+dup 5 eq{
+gsave stroke grestore clip exit
+}if
+dup 6 eq{
+gsave fill grestore gsave stroke grestore fill exit
+}if
+dup 7 eq{
+clip exit
+}if
+exit
+}loop
+pop
+}bind def
+/ShowTextWithGlyphPositioning
+{//ShowTextBeg exec
+{dup type/stringtype eq{
+//ShowText exec
+}{
+neg 1000 div//GraphicState/FontSize get mul 0 rmoveto
+}ifelse
+}forall
+//ShowTextEnd exec
+}bind def
+/CheckFont
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/SetTransfer
+{
+//PDFR_DEBUG{(SetTransfer beg )print count =}if
+dup type/arraytype eq 1 index xcheck not and{
+0 4 getinterval aload pop
+setcolortransfer
+}{
+settransfer
+}ifelse
+//PDFR_DEBUG{(SetTransfer end )print count =}if
+}bind def
+/CheckExtGState
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/CheckHalftone
+{dup/HalftoneType known not{
+mark(Resource )3 index( must have /HalftoneType.)//error exec
+}if
+}bind def
+/ResolveFunction
+{
+//PDFR_DEBUG{(ResolveFunction beg )print dup = count =}if
+2 copy get//IsObjRef exec{
+2 copy//DoNothing//ResolveD exec
+3 copy put pop
+}if
+2 copy get dup type/arraytype eq exch xcheck and not{
+2 copy get
+dup type/arraytype eq 1 index xcheck not and{
+dup length 1 sub -1 0{
+2 copy//DoNothing ResolveA
+dup/Identity eq{
+pop 2 copy{}put
+}{
+//FunctionToProc exec
+3 copy put pop
+}ifelse
+pop
+}for
+}{
+dup/Default eq{
+}{
+dup/Identity eq{
+pop{}
+}{dup type/nametype eq{
+//spotfunctions exch get
+}{
+//FunctionToProc exec
+}ifelse
+}ifelse
+}ifelse
+}ifelse
+3 copy put
+exch pop
+}{
+1 index exch get
+}ifelse
+//PDFR_DEBUG{(ResolveFunction end )print dup == count =}if
+}bind def
+/ResolveFunctionSafe
+{2 copy known{
+//ResolveFunction exec
+}if
+pop
+}bind def
+/CreateHalftoneThresholds
+{
+dup/Thresholds known not{
+dup/HalftoneType get 10 eq{
+dup dup//MakeStreamReader exec
+/Thresholds exch put
+}if
+dup/HalftoneType get dup 3 eq exch 6 eq or{
+dup dup//MakeStreamReader exec
+//BlockBuffer readstring pop
+dup length
+dup 0 eq{
+mark(Could not read Thresholds)//error exec
+}if
+string copy/Thresholds exch put
+dup/HalftoneType 3 put
+}if
+}if
+}bind def
+/SetExtGState
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/ExtGState//DoNothing//ResolveD exec
+exch//CheckExtGState//ResolveD exec
+dup/LW//knownget exec{
+setlinewidth
+}if
+dup/LC//knownget exec{
+setlinecap
+}if
+dup/LJ//knownget exec{
+setlinejoin
+}if
+dup/ML//knownget exec{
+setmeterlimit
+}if
+dup/D//knownget exec{
+setdash
+}if
+dup/RI//knownget exec{
+mark(Unimplemented ExtGState.RI)//error exec
+}if
+dup/OP//knownget exec{
+setoverprint
+}if
+dup/op//knownget exec{
+setoverprint
+}if
+dup/OPM//knownget exec{
+mark(Unimplemented ExtGState.OPM)//error exec
+}if
+dup/Font//knownget exec{
+mark(Unimplemented ExtGState.Font)//error exec
+}if
+dup/BG known{
+/BG//ResolveFunction exec
+setblackgeneration
+}if
+dup/BG2 known{
+/BG2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/BG2 get
+}if
+setblackgeneration
+}if
+dup/UCR known{
+/UCR//ResolveFunction exec
+setundercolorremoval
+}if
+dup/UCR2 known{
+/UCR2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/UCR2 get
+}if
+setundercolorremoval
+}if
+dup/TR known{
+/TR//ResolveFunction exec
+//SetTransfer exec
+}if
+dup/TR2 known{
+/TR2//ResolveFunction exec
+dup/Default eq{
+pop//InitialExtGState/TR2 get
+aload pop setcolortransfer
+}{
+//SetTransfer exec
+}ifelse
+}if
+dup/HT//knownget exec{
+dup/Default eq{
+pop//InitialExtGState/HT get
+sethalftone
+}{
+//PDFR_DEBUG{(Ht beg)=}if
+pop dup/HT//CheckHalftone//ResolveD exec
+/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+null exch
+dup/HalftoneType get dup 5 eq exch dup 4 eq exch 2 eq or or{
+dup{
+dup//IsObjRef exec{
+pop
+1 index exch//CheckHalftone ResolveD
+}if
+dup type/dicttype eq{
+dup/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+//CreateHalftoneThresholds exec
+dup/HalftoneType get 5 gt{
+4 3 roll pop
+dup 4 1 roll
+}if
+}if
+pop pop
+}forall
+}if
+//CreateHalftoneThresholds exec
+//PDFR_DEBUG{
+(HT:)=
+dup{
+1 index/Default eq{
+(Default <<)=
+exch pop
+{exch = ==}forall
+(>>)=
+}{
+exch = ==
+}ifelse
+}forall
+(HT end)= flush
+}if
+exch dup null ne{
+(Warning: Ignoring a halftone with a Level 3 component halftone Type )print dup/HalftoneType get =
+pop pop
+}{
+pop
+dup/HalftoneType get 5 gt{
+(Warning: Ignoring a Level 3 halftone Type )print dup/HalftoneType get =
+pop
+}{
+sethalftone
+}ifelse
+}ifelse
+//PDFR_DEBUG{(HT set)= flush}if
+}ifelse
+}if
+dup/FL//knownget exec{
+setflattness
+}if
+dup/SM//knownget exec{
+setsmoothness
+}if
+dup/SA//knownget exec{
+setstrokeadjust
+}if
+dup/BM//knownget exec{
+mark(Unimplemented ExtGState.BM)//error exec
+}if
+dup/SMask//knownget exec{
+mark(Unimplemented ExtGState.SMask)//error exec
+}if
+dup/CA//knownget exec{
+mark(Unimplemented ExtGState.CA)//error exec
+}if
+dup/ca//knownget exec{
+mark(Unimplemented ExtGState.ca)//error exec
+}if
+dup/AIS//knownget exec{
+mark(Unimplemented ExtGState.AIS)//error exec
+}if
+dup/TK//knownget exec{
+mark(Unimplemented ExtGState.TK)//error exec
+}if
+pop
+}bind def
+/CheckXObject
+{dup/Subtype get dup/Image ne exch dup/Form ne exch/PS ne and and{
+mark(Resource )3 index( must have /Subtype /Image or /Form or /PS.)//error exec
+}if
+}bind def
+/DoXObject
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/XObject//DoNothing//ResolveD exec
+exch//CheckXObject//ResolveD exec
+dup/Subtype get
+dup/Image eq{
+pop
+//CompleteOutlineImage exec
+//DoImage exec
+}{
+dup/PS eq{
+PDFR_DEBUG{
+(Executing a PS Xobject)=
+}if
+pop
+//RunDelayedStream exec
+}{
+dup/Form eq{
+pop
+PDFR_DEBUG{
+(Executing a Form XObject)=
+}if
+//PDFReader/CurrentObject get exch
+dup//PDFReader exch<< exch/Context exch >>/CurrentObject exch put
+dup/Matrix get concat
+dup/BBox get aload pop exch 3 index sub exch 2 index sub rectclip
+//RunDelayedStream exec
+//PDFReader exch/CurrentObject exch put
+}{
+mark exch(unimplemented XObject type )exch//error exec
+}ifelse
+}ifelse
+}ifelse
+}bind def
+/Operators 50 dict begin
+/q{//GSave exec}bind def
+/Q{//GRestore exec}bind def
+/cm{//TempMatrix astore concat}bind def
+/i{1 .min setflat}bind def
+/J/setlinecap load def
+/d/setdash load def
+/j/setlinejoin load def
+/w/setlinewidth load def
+/M/setmiterlimit load def
+/gs{SetExtGState}bind def
+/g/setgray load def
+/rg/setrgbcolor load def
+/k/setcmykcolor load def
+/cs{//ResolveColorSpace exec//SetColorSpaceSafe exec
+}bind def
+/sc/setcolor load def
+/scn{//SetColor exec}bind def
+/G/setgray load def
+/RG/setrgbcolor load def
+/K/setcmykcolor load def
+/CS//cs def
+/ri{SetColorRenderingIntent}bind def
+/SC/setcolor load def
+/SCN{//SetColor exec}bind def
+/m/moveto load def
+/l/lineto load def
+/c/curveto load def
+/v{currentpoint 6 2 roll curveto}bind def
+/y{2 copy curveto}bind def
+/re{
+4 2 roll moveto exch dup 0 rlineto 0 3 -1 roll rlineto neg 0 rlineto
+closepath
+}def
+/h/closepath load def
+/n/newpath load def
+/S/stroke load def
+/s{closepath stroke}bind def
+/f/fill load def
+/f*/eofill load def
+/B{gsave fill grestore stroke}bind def
+/b{closepath gsave fill grestore stroke}bind def
+/B*{gsave eofill grestore stroke}bind def
+/b*{closepath gsave eofill grestore stroke}bind def
+/W/clip load def
+/W*/eoclip load def
+/sh{
+ResolveShading
+dup/Background known{
+gsave
+dup/ColorSpace get setcolorspace
+dup/Background get aload pop setcolor
+pathbbox
+2 index sub exch 3 index sub exch
+rectfill
+grestore
+}if
+shfill
+}bind def
+/Do{//DoXObject exec}bind def
+/BI{currentglobal false setglobal<<}bind def
+/ID{>>
+dup/DataSource currentfile
+2 index/F//knownget exec{
+/A85 eq{
+0(~>)/SubFileDecode filter
+}if
+}if
+put
+//CompleteInlineImage exec
+exch setglobal
+//DoImage exec
+}bind def
+/EI{}bind def
+/BT{gsave//GraphicState/InitialTextMatrix get currentmatrix pop}bind def
+/ET{grestore}bind def
+/Tc{//GraphicState exch/CharacterSpacing exch put}bind def
+/TL{//GraphicState exch/TextLeading exch put}bind def
+/Tr{//GraphicState exch/TextRenderingMode exch put}bind def
+/Ts{
+mark(Unimplemented SetTextRise)//error exec
+}bind def
+/Tw{//GraphicState exch/WordSpacing exch put}bind def
+/Tz{
+mark(Unimplemented SetHorizontalTextScaling)//error exec
+}bind def
+/Td{translate 0 0 moveto}bind def
+/TD{dup neg//TL exec//Td exec}bind def
+/Tm{//GraphicState/InitialTextMatrix get setmatrix
+//TempMatrix astore concat
+0 0 moveto}bind def
+/T*{0//GraphicState/TextLeading get neg//Td exec}bind def
+/Tj{//ShowTextBeg exec//ShowText exec//ShowTextEnd exec}bind def
+/'{//T* exec//ShowText exec//ShowTextEnd exec}bind def
+/"{3 2 roll//Tw exec exch//Tc exec//' exec}bind def
+/TJ//ShowTextWithGlyphPositioning def
+/Tf//SetFont def
+/d0/setcharwidth load def
+/d1/setcachedevice load def
+/BDC{pop pop}bind def
+/BMC{pop}bind def
+/EMC{}bind def
+/BX{BeginCompatibilitySection}bind def
+/EX{EndCompatibilitySection}bind def
+/DP{DefineMarkedContentPointWithPropertyList}bind def
+/MP{DefineMarkedContentPoint}bind def
+/PS{cvx exec}bind def
+currentdict end def
+//PDFR_STREAM{
+//Operators length dict begin
+//Operators{
+exch dup
+[exch//=only/exec load
+( )/print load
+8 7 roll
+dup type/arraytype eq{
+/exec load
+}if
+( )/print load
+]cvx
+def
+}forall
+currentdict end/Operators exch def
+}if
+/.registerencoding
+{pop pop
+}bind def
+/.defineencoding
+{def
+}bind def
+/.findencoding
+{load
+}bind def
+/currentglobal where
+{pop currentglobal{setglobal}true setglobal}
+{{}}
+ifelse
+/MacRomanEncoding
+StandardEncoding 0 39 getinterval aload pop
+/quotesingle
+StandardEncoding 40 56 getinterval aload pop
+/grave
+StandardEncoding 97 31 getinterval aload pop
+/Adieresis/Aring/Ccedilla/Eacute/Ntilde/Odieresis/Udieresis/aacute
+/agrave/acircumflex/adieresis/atilde/aring/ccedilla/eacute/egrave
+/ecircumflex/edieresis/iacute/igrave
+/icircumflex/idieresis/ntilde/oacute
+/ograve/ocircumflex/odieresis/otilde
+/uacute/ugrave/ucircumflex/udieresis
+/dagger/degree/cent/sterling/section/bullet/paragraph/germandbls
+/registered/copyright/trademark/acute/dieresis/.notdef/AE/Oslash
+/.notdef/plusminus/.notdef/.notdef/yen/mu/.notdef/.notdef
+/.notdef/.notdef/.notdef/ordfeminine/ordmasculine/.notdef/ae/oslash
+/questiondown/exclamdown/logicalnot/.notdef
+/florin/.notdef/.notdef/guillemotleft
+/guillemotright/ellipsis/space/Agrave/Atilde/Otilde/OE/oe
+/endash/emdash/quotedblleft/quotedblright
+/quoteleft/quoteright/divide/.notdef
+/ydieresis/Ydieresis/fraction/currency
+/guilsinglleft/guilsinglright/fi/fl
+/daggerdbl/periodcentered/quotesinglbase/quotedblbase
+/perthousand/Acircumflex/Ecircumflex/Aacute
+/Edieresis/Egrave/Iacute/Icircumflex
+/Idieresis/Igrave/Oacute/Ocircumflex
+/.notdef/Ograve/Uacute/Ucircumflex
+/Ugrave/dotlessi/circumflex/tilde
+/macron/breve/dotaccent/ring/cedilla/hungarumlaut/ogonek/caron
+256 packedarray
+5 1 index .registerencoding
+.defineencoding
+exec
+/AdobeGlyphList mark
+/A 16#0041
+/AE 16#00c6
+/AEacute 16#01fc
+/AEmacron 16#01e2
+/AEsmall 16#f7e6
+/Aacute 16#00c1
+/Aacutesmall 16#f7e1
+/Abreve 16#0102
+/Abreveacute 16#1eae
+/Abrevecyrillic 16#04d0
+/Abrevedotbelow 16#1eb6
+/Abrevegrave 16#1eb0
+/Abrevehookabove 16#1eb2
+/Abrevetilde 16#1eb4
+/Acaron 16#01cd
+/Acircle 16#24b6
+/Acircumflex 16#00c2
+/Acircumflexacute 16#1ea4
+/Acircumflexdotbelow 16#1eac
+/Acircumflexgrave 16#1ea6
+/Acircumflexhookabove 16#1ea8
+/Acircumflexsmall 16#f7e2
+/Acircumflextilde 16#1eaa
+/Acute 16#f6c9
+/Acutesmall 16#f7b4
+/Acyrillic 16#0410
+/Adblgrave 16#0200
+/Adieresis 16#00c4
+/Adieresiscyrillic 16#04d2
+/Adieresismacron 16#01de
+/Adieresissmall 16#f7e4
+/Adotbelow 16#1ea0
+/Adotmacron 16#01e0
+/Agrave 16#00c0
+/Agravesmall 16#f7e0
+/Ahookabove 16#1ea2
+/Aiecyrillic 16#04d4
+/Ainvertedbreve 16#0202
+/Alpha 16#0391
+/Alphatonos 16#0386
+/Amacron 16#0100
+/Amonospace 16#ff21
+/Aogonek 16#0104
+/Aring 16#00c5
+/Aringacute 16#01fa
+/Aringbelow 16#1e00
+/Aringsmall 16#f7e5
+/Asmall 16#f761
+/Atilde 16#00c3
+/Atildesmall 16#f7e3
+/Aybarmenian 16#0531
+/B 16#0042
+/Bcircle 16#24b7
+/Bdotaccent 16#1e02
+/Bdotbelow 16#1e04
+/Becyrillic 16#0411
+/Benarmenian 16#0532
+/Beta 16#0392
+/Bhook 16#0181
+/Blinebelow 16#1e06
+/Bmonospace 16#ff22
+/Brevesmall 16#f6f4
+/Bsmall 16#f762
+/Btopbar 16#0182
+/C 16#0043
+/Caarmenian 16#053e
+/Cacute 16#0106
+/Caron 16#f6ca
+/Caronsmall 16#f6f5
+/Ccaron 16#010c
+/Ccedilla 16#00c7
+/Ccedillaacute 16#1e08
+/Ccedillasmall 16#f7e7
+/Ccircle 16#24b8
+/Ccircumflex 16#0108
+/Cdot 16#010a
+/Cdotaccent 16#010a
+/Cedillasmall 16#f7b8
+/Chaarmenian 16#0549
+/Cheabkhasiancyrillic 16#04bc
+/Checyrillic 16#0427
+/Chedescenderabkhasiancyrillic 16#04be
+/Chedescendercyrillic 16#04b6
+/Chedieresiscyrillic 16#04f4
+/Cheharmenian 16#0543
+/Chekhakassiancyrillic 16#04cb
+/Cheverticalstrokecyrillic 16#04b8
+/Chi 16#03a7
+/Chook 16#0187
+/Circumflexsmall 16#f6f6
+/Cmonospace 16#ff23
+/Coarmenian 16#0551
+/Csmall 16#f763
+/D 16#0044
+/DZ 16#01f1
+/DZcaron 16#01c4
+/Daarmenian 16#0534
+/Dafrican 16#0189
+/Dcaron 16#010e
+/Dcedilla 16#1e10
+/Dcircle 16#24b9
+/Dcircumflexbelow 16#1e12
+/Dcroat 16#0110
+/Ddotaccent 16#1e0a
+/Ddotbelow 16#1e0c
+/Decyrillic 16#0414
+/Deicoptic 16#03ee
+/Delta 16#2206
+/Deltagreek 16#0394
+/Dhook 16#018a
+/Dieresis 16#f6cb
+/DieresisAcute 16#f6cc
+/DieresisGrave 16#f6cd
+/Dieresissmall 16#f7a8
+/Digammagreek 16#03dc
+/Djecyrillic 16#0402
+/Dlinebelow 16#1e0e
+/Dmonospace 16#ff24
+/Dotaccentsmall 16#f6f7
+/Dslash 16#0110
+/Dsmall 16#f764
+/Dtopbar 16#018b
+/Dz 16#01f2
+/Dzcaron 16#01c5
+/Dzeabkhasiancyrillic 16#04e0
+/Dzecyrillic 16#0405
+/Dzhecyrillic 16#040f
+/E 16#0045
+/Eacute 16#00c9
+/Eacutesmall 16#f7e9
+/Ebreve 16#0114
+/Ecaron 16#011a
+/Ecedillabreve 16#1e1c
+/Echarmenian 16#0535
+/Ecircle 16#24ba
+/Ecircumflex 16#00ca
+/Ecircumflexacute 16#1ebe
+/Ecircumflexbelow 16#1e18
+/Ecircumflexdotbelow 16#1ec6
+/Ecircumflexgrave 16#1ec0
+/Ecircumflexhookabove 16#1ec2
+/Ecircumflexsmall 16#f7ea
+/Ecircumflextilde 16#1ec4
+/Ecyrillic 16#0404
+/Edblgrave 16#0204
+/Edieresis 16#00cb
+/Edieresissmall 16#f7eb
+/Edot 16#0116
+/Edotaccent 16#0116
+/Edotbelow 16#1eb8
+/Efcyrillic 16#0424
+/Egrave 16#00c8
+/Egravesmall 16#f7e8
+/Eharmenian 16#0537
+/Ehookabove 16#1eba
+/Eightroman 16#2167
+/Einvertedbreve 16#0206
+/Eiotifiedcyrillic 16#0464
+/Elcyrillic 16#041b
+/Elevenroman 16#216a
+/Emacron 16#0112
+/Emacronacute 16#1e16
+/Emacrongrave 16#1e14
+/Emcyrillic 16#041c
+/Emonospace 16#ff25
+/Encyrillic 16#041d
+/Endescendercyrillic 16#04a2
+/Eng 16#014a
+/Enghecyrillic 16#04a4
+/Enhookcyrillic 16#04c7
+/Eogonek 16#0118
+/Eopen 16#0190
+/Epsilon 16#0395
+/Epsilontonos 16#0388
+/Ercyrillic 16#0420
+/Ereversed 16#018e
+/Ereversedcyrillic 16#042d
+/Escyrillic 16#0421
+/Esdescendercyrillic 16#04aa
+/Esh 16#01a9
+/Esmall 16#f765
+/Eta 16#0397
+/Etarmenian 16#0538
+/Etatonos 16#0389
+/Eth 16#00d0
+/Ethsmall 16#f7f0
+/Etilde 16#1ebc
+/Etildebelow 16#1e1a
+/Euro 16#20ac
+/Ezh 16#01b7
+/Ezhcaron 16#01ee
+/Ezhreversed 16#01b8
+/F 16#0046
+/Fcircle 16#24bb
+/Fdotaccent 16#1e1e
+/Feharmenian 16#0556
+/Feicoptic 16#03e4
+/Fhook 16#0191
+/Fitacyrillic 16#0472
+/Fiveroman 16#2164
+/Fmonospace 16#ff26
+/Fourroman 16#2163
+/Fsmall 16#f766
+/G 16#0047
+/GBsquare 16#3387
+/Gacute 16#01f4
+/Gamma 16#0393
+/Gammaafrican 16#0194
+/Gangiacoptic 16#03ea
+/Gbreve 16#011e
+/Gcaron 16#01e6
+/Gcedilla 16#0122
+/Gcircle 16#24bc
+/Gcircumflex 16#011c
+/Gcommaaccent 16#0122
+/Gdot 16#0120
+/Gdotaccent 16#0120
+/Gecyrillic 16#0413
+/Ghadarmenian 16#0542
+/Ghemiddlehookcyrillic 16#0494
+/Ghestrokecyrillic 16#0492
+/Gheupturncyrillic 16#0490
+/Ghook 16#0193
+/Gimarmenian 16#0533
+/Gjecyrillic 16#0403
+/Gmacron 16#1e20
+/Gmonospace 16#ff27
+/Grave 16#f6ce
+/Gravesmall 16#f760
+/Gsmall 16#f767
+/Gsmallhook 16#029b
+/Gstroke 16#01e4
+/H 16#0048
+/H18533 16#25cf
+/H18543 16#25aa
+/H18551 16#25ab
+/H22073 16#25a1
+/HPsquare 16#33cb
+/Haabkhasiancyrillic 16#04a8
+/Hadescendercyrillic 16#04b2
+/Hardsigncyrillic 16#042a
+/Hbar 16#0126
+/Hbrevebelow 16#1e2a
+/Hcedilla 16#1e28
+/Hcircle 16#24bd
+/Hcircumflex 16#0124
+/Hdieresis 16#1e26
+/Hdotaccent 16#1e22
+/Hdotbelow 16#1e24
+/Hmonospace 16#ff28
+/Hoarmenian 16#0540
+/Horicoptic 16#03e8
+/Hsmall 16#f768
+/Hungarumlaut 16#f6cf
+/Hungarumlautsmall 16#f6f8
+/Hzsquare 16#3390
+/I 16#0049
+/IAcyrillic 16#042f
+/IJ 16#0132
+/IUcyrillic 16#042e
+/Iacute 16#00cd
+/Iacutesmall 16#f7ed
+/Ibreve 16#012c
+/Icaron 16#01cf
+/Icircle 16#24be
+/Icircumflex 16#00ce
+/Icircumflexsmall 16#f7ee
+/Icyrillic 16#0406
+/Idblgrave 16#0208
+/Idieresis 16#00cf
+/Idieresisacute 16#1e2e
+/Idieresiscyrillic 16#04e4
+/Idieresissmall 16#f7ef
+/Idot 16#0130
+/Idotaccent 16#0130
+/Idotbelow 16#1eca
+/Iebrevecyrillic 16#04d6
+/Iecyrillic 16#0415
+/Ifraktur 16#2111
+/Igrave 16#00cc
+/Igravesmall 16#f7ec
+/Ihookabove 16#1ec8
+/Iicyrillic 16#0418
+/Iinvertedbreve 16#020a
+/Iishortcyrillic 16#0419
+/Imacron 16#012a
+/Imacroncyrillic 16#04e2
+/Imonospace 16#ff29
+/Iniarmenian 16#053b
+/Iocyrillic 16#0401
+/Iogonek 16#012e
+/Iota 16#0399
+/Iotaafrican 16#0196
+/Iotadieresis 16#03aa
+/Iotatonos 16#038a
+/Ismall 16#f769
+/Istroke 16#0197
+/Itilde 16#0128
+/Itildebelow 16#1e2c
+/Izhitsacyrillic 16#0474
+/Izhitsadblgravecyrillic 16#0476
+/J 16#004a
+/Jaarmenian 16#0541
+/Jcircle 16#24bf
+/Jcircumflex 16#0134
+/Jecyrillic 16#0408
+/Jheharmenian 16#054b
+/Jmonospace 16#ff2a
+/Jsmall 16#f76a
+/K 16#004b
+/KBsquare 16#3385
+/KKsquare 16#33cd
+/Kabashkircyrillic 16#04a0
+/Kacute 16#1e30
+/Kacyrillic 16#041a
+/Kadescendercyrillic 16#049a
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diff --git a/figures/Schmidt2017/Fig4_connectivity.py b/figures/Schmidt2017/Fig4_connectivity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b4a4c91dedaeaa139c743e4d09363aa018c9e3a0
--- /dev/null
+++ b/figures/Schmidt2017/Fig4_connectivity.py
@@ -0,0 +1,235 @@
+import json
+import numpy as np
+import matplotlib.pyplot as pl
+import os
+
+from helpers import area_list, datapath
+from matplotlib import gridspec
+from matplotlib.colors import LogNorm
+from matplotlib.ticker import FixedLocator
+from matplotlib import rc_file
+from multiarea_model import MultiAreaModel
+from plotcolors import myblue
+from scipy import stats
+
+rc_file('plotstyle.rc')
+
+"""
+Figure layout
+"""
+nrows = 2
+ncols = 2
+width = 6.8556
+panel_wh_ratio = 0.7 * (1. + np.sqrt(5)) / 2.  # golden ratio
+
+height = width / panel_wh_ratio * float(nrows) / ncols
+print(width, height)
+pl.rcParams['figure.figsize'] = (width, height)
+
+fig = pl.figure()
+axes = {}
+
+gs1 = gridspec.GridSpec(2, 2)
+gs1.update(left=0.06, right=0.95, top=0.95, bottom=0.1, wspace=0.1, hspace=0.3)
+
+axes['A'] = pl.subplot(gs1[:1, :1])
+axes['B'] = pl.subplot(gs1[:1, 1:2])
+axes['D'] = pl.subplot(gs1[1:2, 1:2])
+
+pos = axes['A'].get_position()
+pos2 = axes['D'].get_position()
+axes['C'] = pl.axes([pos.x0 + 0.01, pos2.y0, pos.x1 - pos.x0 - 0.025, 0.23])
+
+print(pos.x1 - pos.x0 - 0.025)
+
+labels = ['A', 'B', 'C', 'D']
+for label in labels:
+    if label in ['C']:
+        label_pos = [-0.045, 1.18]
+    else:
+        label_pos = [-0.2, 1.04]
+    pl.text(label_pos[0], label_pos[1], r'\bfseries{}' + label,
+            fontdict={'fontsize': 10, 'weight': 'bold',
+                      'horizontalalignment': 'left', 'verticalalignment':
+                      'bottom'}, transform=axes[label].transAxes)
+
+"""
+Load data
+"""
+M = MultiAreaModel({})
+
+with open(os.path.join(datapath, 'viscortex_processed_data.json'), 'r') as f:
+    proc = json.load(f)
+with open(os.path.join(datapath, 'viscortex_raw_data.json'), 'r') as f:
+    raw = json.load(f)
+
+FLN_Data_FV91 = proc['FLN_Data_FV91']
+
+cocomac_data = raw['cocomac_data']
+median_distance_data = raw['median_distance_data']
+
+cocomac = np.zeros((32, 32))
+conn_matrix = np.zeros((32, 32))
+for ii, area1 in enumerate(area_list[::-1]):
+    for jj, area2 in enumerate(area_list):
+        if M.K_areas[area1][area2] > 0. and area2 in cocomac_data[area1]:
+            cocomac[ii][jj] = 1.
+        if area2 in FLN_Data_FV91[area1]:
+            conn_matrix[ii][jj] = FLN_Data_FV91[area1][area2]
+
+"""
+Panel A: CoCoMac Data
+"""
+ax = axes['A']
+ax.yaxis.set_ticks_position("left")
+ax.xaxis.set_ticks_position("bottom")
+
+ax.set_aspect(1. / ax.get_data_ratio())
+ax.yaxis.set_ticks_position("none")
+ax.xaxis.set_ticks_position("none")
+
+masked_matrix = np.ma.masked_values(cocomac, 0.0)
+cmap = pl.cm.binary
+cmap.set_bad('w', 1.0)
+
+x = np.arange(0, len(area_list) + 1)
+y = np.arange(0, len(area_list[::-1]) + 1)
+X, Y = np.meshgrid(x, y)
+
+ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
+ax.set_xticklabels(area_list, rotation=90, size=6.)
+
+ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
+ax.set_yticklabels(area_list[::-1], size=6.)
+
+ax.set_ylabel('Target area')
+ax.set_xlabel('Source area')
+
+im = ax.pcolormesh(masked_matrix, cmap=cmap,
+                   edgecolors='None', vmin=0., vmax=1.)
+
+t = FixedLocator([])
+cbar = pl.colorbar(im, ticks=t, fraction=0.046, ax=ax)
+cbar.set_alpha(0.)
+cbar.remove()
+
+"""
+Panel B: Data from Markov et al. (2014)
+"""
+ax = axes['B']
+ax.set_aspect(1. / ax.get_data_ratio())
+ax.yaxis.set_ticks_position("none")
+ax.xaxis.set_ticks_position("none")
+
+masked_matrix = np.ma.masked_values(conn_matrix, 0.0)
+cmap = pl.get_cmap('inferno')
+cmap.set_bad('w', 1.0)
+
+x = np.arange(0, len(area_list) + 1)
+y = np.arange(0, len(area_list[::-1]) + 1)
+X, Y = np.meshgrid(x, y)
+
+ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
+ax.set_xticklabels(area_list, rotation=90, size=6.)
+
+ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
+ax.set_yticklabels(area_list[::-1], size=6.)
+
+im = ax.pcolormesh(masked_matrix, cmap=cmap,
+                   edgecolors='None', norm=LogNorm(vmin=1e-6, vmax=1.))
+
+t = FixedLocator([1e-6, 1e-4, 1e-2, 1])
+cbar = pl.colorbar(im, ticks=t, fraction=0.046, ax=ax)
+cbar.set_alpha(0.)
+
+"""
+Panel C: Exponential distance rule of FLN
+"""
+FLN_values_FV91 = np.array([])
+distances_FV91 = np.array([])
+
+for target_area in FLN_Data_FV91:
+    for source_area in FLN_Data_FV91[target_area]:
+        if target_area in median_distance_data and source_area in median_distance_data:
+            if FLN_Data_FV91[target_area][source_area]:
+                FLN_values_FV91 = np.append(FLN_values_FV91, FLN_Data_FV91[
+                                            target_area][source_area])
+                distances_FV91 = np.append(distances_FV91, median_distance_data[
+                                           target_area][source_area])
+
+# Linear Fit to log values"
+print("\n \n Linear fit to logarithmic values")
+gradient, intercept, r_value, p_value, std_err = stats.linregress(
+    distances_FV91, np.log(FLN_values_FV91))
+print("Raw parameters: ", gradient, intercept)
+print("Transformed parameters: ", -gradient, np.exp(intercept))
+print('r_value**2', r_value ** 2)
+print('p_value', p_value)
+print('std_err', std_err)
+
+ax = axes['C']
+ax.yaxis.set_ticks_position("left")
+ax.xaxis.set_ticks_position("bottom")
+
+ax.yaxis.set_ticks_position("left")
+ax.xaxis.set_ticks_position("bottom")
+
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.yaxis.set_ticks_position("left")
+ax.xaxis.set_ticks_position("bottom")
+
+ax.plot(distances_FV91, np.log10(FLN_values_FV91), '.', color=myblue)
+x = np.arange(np.min(distances_FV91), np.max(distances_FV91), 1)
+ax.plot(x, (intercept + gradient * x) / np.log(10), linewidth=2.0,
+        color='Black', label='Linear regression fit')
+
+ax.set_xlabel('Distance (mm)', labelpad=7)
+ax.set_ylabel(r'$\log(FLN)$')
+ax.set_yticks([-6, -4, -2, 0])
+
+print("log fit")
+print(np.corrcoef(gradient * distances_FV91 + intercept, np.log(FLN_values_FV91))[0][1])
+
+"""
+Panel D: Resulting connectivity matrix
+"""
+conn_matrix = np.zeros((32, 32))
+for ii, area1 in enumerate(area_list[::-1]):
+    for jj, area2 in enumerate(area_list):
+        conn_matrix[ii][jj] = M.K_areas[area1][
+            area2] / np.sum(list(M.K_areas[area1].values()))
+
+ax = axes['D']
+ax.yaxis.set_ticks_position("none")
+ax.xaxis.set_ticks_position("none")
+
+ax.set_aspect(1. / ax.get_data_ratio())
+
+masked_matrix = np.ma.masked_values(conn_matrix, 0.0)
+cmap = pl.get_cmap('inferno')
+cmap.set_bad('w', 1.0)
+
+x = np.arange(0, len(area_list) + 1)
+y = np.arange(0, len(area_list[::-1]) + 1)
+X, Y = np.meshgrid(x, y)
+
+ax.set_xticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
+ax.set_xticklabels(area_list, rotation=90, size=6.)
+
+ax.set_yticks([i + 0.5 for i in np.arange(0, len(area_list) + 1, 1)])
+ax.set_yticklabels(area_list[::-1], size=6.)
+
+ax.set_ylabel('Target area')
+ax.set_xlabel('Source area')  # , labelpad=-0.01)
+im = ax.pcolormesh(masked_matrix, cmap=cmap,
+                   edgecolors='None', norm=LogNorm(vmin=1e-6, vmax=1.))
+
+t = FixedLocator([1e-6, 1e-4, 1e-2, 1])
+cbar = pl.colorbar(im, ticks=t, fraction=0.046, ax=ax)
+cbar.set_alpha(0.)
+
+"""
+Save figure
+"""
+pl.savefig('Fig4_connectivity.eps')
diff --git a/figures/Schmidt2017/Fig5_cc_laminar_pattern.eps b/figures/Schmidt2017/Fig5_cc_laminar_pattern.eps
new file mode 100644
index 0000000000000000000000000000000000000000..72eb6bb89d4e08216bdd7d486f0e977947305e95
--- /dev/null
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@@ -0,0 +1,35186 @@
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+errordict/handleerror
+{systemdict begin
+$error begin
+newerror
+{(%%[ Error handled by opdfread.ps : )print errorname//ebuf cvs print(; OffendingCommand: )
+print/command load//ebuf cvs print( ]%%)= flush
+/newerror false store vmstatus pop pop 0 ne
+{grestoreall
+}if
+errorname(VMerror)ne
+{showpage
+}if
+initgraphics
+0 720 moveto
+errorname(VMerror)eq
+{//this/ehsave known
+{clear//this/ehsave get restore 2 vmreclaim
+}if
+vmstatus exch pop exch pop
+}
+/Courier 12 selectfont
+{
+(ERROR: )//prnt exec errorname//prnt exec
+(OFFENDING COMMAND: )//prnt exec
+/command load//prnt exec
+$error/ostack known{
+(%%[STACK:)=
+(STACK:)//prnt exec
+$error/ostack get aload length{
+//newline exec
+dup mark eq{
+(-mark-)dup = show
+}{
+dup type/nametype eq{
+dup xcheck not{
+(/)show
+(/)print
+}if
+}if
+dup =//ebuf cvs show
+}ifelse
+}repeat
+}if
+}ifelse
+(%%]%)=
+//systemdict/showpage get exec
+quit
+}if
+end
+end
+}bind readonly put
+end
+50 dict begin
+/DefaultSwitch
+{
+dup where{
+pop pop
+}{
+false def
+}ifelse
+}bind def
+/=string 256 string def
+/=only{
+//=string cvs print
+}bind def
+/HexDigits(0123456789ABCDEF)readonly def
+/PrintHex
+{8{
+dup -28 bitshift 15 and//HexDigits exch 1 getinterval//=only exec
+4 bitshift
+}repeat
+pop
+}bind def
+/PDFR_DEBUG DefaultSwitch
+/PDFR_DUMP DefaultSwitch
+/PDFR_STREAM DefaultSwitch
+/TTFDEBUG DefaultSwitch
+/RotatePages DefaultSwitch
+/FitPages DefaultSwitch
+/CenterPages DefaultSwitch
+/SetPageSize DefaultSwitch
+/error
+{
+counttomark 1 sub -1 0{
+index dup type/arraytype eq{==}{=only}ifelse
+}for
+()=
+cleartomark
+....Undefined
+}bind def
+//SetPageSize{
+//RotatePages//FitPages or//CenterPages or{
+mark(/RotatePages, /FitPages and CenterPages are not allowed with /SetPageSize)//error exec
+}if
+}
+{
+//FitPages//CenterPages and{
+mark(CenterPages is not allowed with /FitPages)//error exec
+}if
+}
+ifelse
+/knownget
+{
+2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/IsUpper
+{dup(A)0 get ge exch(Z)0 get le and
+}bind def
+/cpa2g{
+dup length array
+0 1 2 index length 1 sub{
+dup 3 index exch get cp2g
+3 copy put pop pop
+}for
+exch pop
+}bind def
+/cpd2g{
+dup length dict exch{
+cp2g 2 index 3 1 roll put
+}forall
+}bind def
+/cps2g{
+dup length string copy
+}bind def
+/cp2gprocs
+<</arraytype//cpa2g/dicttype//cpd2g/packedarraytype//cpa2g/stringtype//cps2g >>
+def
+/cp2g{
+dup gcheck not{
+dup//cp2gprocs 1 index type
+2 copy known{
+get currentglobal 3 1 roll true setglobal exec exch setglobal
+1 index wcheck not{readonly}if
+1 index xcheck{cvx}if
+exch pop
+}{
+pop pop
+}ifelse
+}if
+}bind def
+/BlockBuffer 65535 string def
+/PDFReader currentdict def
+/ObjectRegistryMaxLength 50000 def
+/ObjectRegistry 10 dict def
+ObjectRegistry
+begin 0 ObjectRegistryMaxLength dict def end
+/CurrentObject null def
+/DoneDocumentStructure false def
+/GraphicState 20 dict begin
+/InitialTextMatrix matrix def
+/InitialMatrix matrix currentmatrix def
+currentdict end def
+/TempMatrix matrix def
+/GraphicStateStack 20 array def
+/GraphicStateStackPointer 0 def
+/InitialTextMatrixStack 20 array def
+/InitialTextMatrixStackPointer 0 def
+/PDFColorSpaces 50 dict def
+/InstalledFonts 50 dict def
+/MacRomanEncodingInverse null def
+currentglobal false setglobal
+userdict/PDFR_InitialGS gstate put
+userdict/PDFR_Patterns 50 dict put
+userdict/FuncDataReader 10 dict put
+setglobal
+/InitialExtGState 20 dict begin
+/BG2 currentblackgeneration cp2g def
+/UCR2 currentundercolorremoval cp2g def
+/TR2 currentglobal false setglobal[currentcolortransfer]exch setglobal cp2g def
+/HT currenthalftone cp2g def
+currentdict end readonly def
+/InitialGraphicState 20 dict begin
+/FontSize 0 def
+/CharacterSpacing 0 def
+/TextLeading 0 def
+/TextRenderingMode 0 def
+/WordSpacing 0 def
+currentdict end readonly def
+/SimpleColorSpaceNames 15 dict begin
+/DeviceGray true def
+/DeviceRGB true def
+/DeviceCMYK true def
+currentdict end readonly def
+/1_24_bitshift_1_sub 1 24 bitshift 1 sub def
+/ReadFontProcs 10 dict def
+/GetObject{
+dup ObjectRegistryMaxLength idiv
+//PDFReader /ObjectRegistry get exch knownget
+{exch knownget}{pop false}ifelse
+}bind def
+/PutObject
+{1 index ObjectRegistryMaxLength idiv
+//PDFReader /ObjectRegistry get 1 index knownget{
+exch pop 3 1 roll put}{
+//PDFReader /ObjectRegistry get dup begin
+1 index ObjectRegistryMaxLength dict def
+end exch get 3 1 roll put
+}ifelse
+}bind def
+/Register
+{1 index GetObject{
+dup xcheck{
+4 3 roll pop
+//PDFR_DEBUG{
+(Have a daemon for ) print 2 index ==
+}if
+exec
+}{
+dup null ne{
+mark (The object ) 4 index (is already defined : ) 4 index //error exec
+}{
+pop
+}ifelse
+3 2 roll
+exec
+}ifelse
+}{
+3 2 roll
+exec
+}ifelse
+PutObject
+} bind def
+/IsRegistered{
+GetObject{
+null ne
+}{
+false
+}ifelse
+}bind def
+/GetRegistered{
+dup GetObject not{
+exch mark exch (Object ) exch ( isn't defined before needed (1).) //error exec
+}if
+dup xcheck{
+exch mark exch (Object ) exch ( isn't defined before needed (2).) //error exec
+}{
+dup null eq{
+exch mark exch (Object ) exch ( isn't defined before needed (3).) //error exec
+}if
+exch pop
+}ifelse
+}bind def
+/StandardFontNames<<
+/Times-Roman true
+/Helvetica true
+/Courier true
+/Symbol true
+/Times-Bold true
+/Helvetica-Bold true
+/Courier-Bold true
+/ZapfDingbats true
+/Times-Italic true
+/Helvetica-Oblique true
+/Courier-Oblique true
+/Times-BoldItalic true
+/Helvetica-BoldOblique true
+/Courier-BoldOblique true
+>>def
+/CleanAllResources
+{//PDFR_DEBUG{
+(CleanAllResources beg)=
+}if
+//PDFReader/ObjectRegistry get{
+dup length 0 exch 1 exch 1 sub{
+2 copy get dup xcheck{
+pop pop
+}{
+dup null eq{
+pop pop
+}{
+dup type/dicttype eq{/.Global known}{pop false}ifelse{
+pop
+}{
+//PDFR_DEBUG{
+(Dropping )print dup =
+}if
+1 index exch/DroppedObject put
+}ifelse
+}ifelse
+}ifelse
+}for
+pop
+}forall
+FontDirectory length dict begin
+FontDirectory{
+pop
+dup//StandardFontNames exch known not{
+dup null def
+}if
+pop
+}forall
+currentdict
+end{
+pop
+//PDFR_DEBUG{
+(Undefining font )print dup =
+}if
+undefinefont
+}forall
+//PDFR_DEBUG{
+(CleanAllResources end)=
+}if
+}bind def
+/PrintReference
+{
+//PDFR_DEBUG{
+({ )print
+dup{
+=only( )print
+}forall
+( })=
+}if
+}bind def
+/R
+{
+0 ne{
+exch mark exch(A referred object generation )exch( isn't 0.)//error exec
+}if
+[
+exch//GetRegistered/exec load
+]cvx
+//PrintReference exec
+}bind def
+/IsObjRef
+{
+dup type/arraytype eq{
+dup length 3 eq{
+dup xcheck exch
+dup 0 get type/integertype eq 3 2 roll and exch
+dup 1 get//GetRegistered eq 3 2 roll and exch
+2 get/exec load eq and
+}{
+pop false
+}ifelse
+}{
+pop false
+}ifelse
+}bind def
+/DoNothing
+{
+}def
+/RunTypeDaemon
+{
+dup type/dicttype eq{
+dup/Type//knownget exec{
+//PDFReader/TypeDaemons get exch
+//knownget exec{
+exec
+}if
+}if
+}if
+}bind def
+/obj
+{
+//PDFR_DEBUG{
+(Defining )print 1 index =only( )print dup =only( obj)=
+}if
+0 ne{
+exch mark exch(An object generation )exch( isn't 0.)//error exec
+}if
+}bind def
+/endobj
+{
+//PDFR_DEBUG{
+(endobj )=
+}if
+count 1 eq {pop} {dup type/dicttype eq{
+dup/.endobj_daemon//knownget exec{
+//PDFR_DEBUG{(.endobj_daemon for )print 2 index =}if
+exec
+}if
+}if
+dup type/dicttype eq{dup/ImmediateExec known}{false}ifelse{
+pop pop
+}{
+//PDFR_DEBUG{
+(Storing )print 1 index =
+}if
+//RunTypeDaemon exec
+//DoNothing 3 1 roll//Register exec
+}ifelse
+}ifelse}bind def
+/StoreBlock
+{
+//PDFR_DEBUG{
+(StoreBlock )print//PDFReader/BlockCount get =only(, Length = )print dup length =
+}if
+dup length string copy
+//PDFReader/BlockCount get exch
+//PDFReader/CurrentObject get 3 1 roll
+put
+//PDFReader/BlockCount get 1 add
+//PDFReader exch/BlockCount exch put
+}bind def
+/CheckLength
+{dup type/integertype ne{
+mark(Object length isn't an integer.)//error exec
+}if
+}bind def
+/ResolveD
+{
+3 copy pop get
+dup//IsObjRef exec{
+//PDFR_DEBUG{
+(Resolving )print//PrintReference exec
+}if
+exec
+exch exec
+}{
+exch pop
+}ifelse
+dup 4 1 roll
+put
+}bind def
+/ResolveA
+{2 index 2 index get
+dup//IsObjRef exec{
+exec
+exch exec
+3 copy put
+}{
+exch pop
+}ifelse
+exch pop exch pop
+}bind def
+/StoreStream
+{
+dup//PDFReader exch/CurrentObject exch put
+//PDFReader/BlockCount 0 put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(StoreStream Length = )print dup =
+}if
+currentfile exch()/SubFileDecode filter
+{dup//BlockBuffer readstring{
+//StoreBlock exec
+}{
+//StoreBlock exec
+exit
+}ifelse
+}loop
+pop
+//PDFReader/CurrentObject null put
+//PDFR_DEBUG{
+(StoreStream end.)=
+}if
+}bind def
+/MakeStreamDumper
+{
+//PDFR_DEBUG{
+(MakeStreamDumper beg.)=
+}if
+currentglobal exch dup gcheck setglobal
+[exch
+1 dict dup/c 0 put exch
+1024 string
+{readstring pop
+(StreamDumper )print 1 index/c get =string cvs print( )print
+dup length =string cvs print( <)print dup print(>\n)print
+dup length
+3 2 roll
+dup/c get
+3 2 roll
+add/c exch put
+}/exec load
+]
+cvx 0()/SubFileDecode filter
+exch setglobal
+//PDFR_DEBUG{
+(MakeStreamDumper end.)=
+}if
+}bind def
+/ShortFilterNames 15 dict begin
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/AppendFilters
+{
+//PDFR_DEBUG{
+(AppendFilters beg.)=
+}if
+dup 3 1 roll
+/Filter//knownget exec{
+dup type/nametype eq{
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+2 index/DecodeParms//knownget exec{
+exch
+}if
+filter
+}{
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+3 1 roll
+4 index/DecodeParms//knownget exec{
+exch get
+}{
+pop null
+}ifelse
+dup null eq{
+pop 3 1 roll filter exch
+}{
+3 1 roll
+4 1 roll filter exch
+}ifelse
+}for
+pop
+}ifelse
+//PDFR_DEBUG//PDFR_DUMP and{
+//MakeStreamDumper exec
+}if
+}if
+exch pop
+//PDFR_DEBUG{
+(AppendFilters end.)=
+}if
+}bind def
+/ExecuteStream
+{
+dup//PDFReader exch/CurrentObject exch put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(ExecuteStream id = )print 2 index =only( Length = )print dup =
+}if
+//PDFReader/InitialGraphicState get
+//PDFReader/GraphicState get copy pop
+//PDFReader/Operators get begin
+currentfile exch ()/SubFileDecode filter
+1 index//AppendFilters exec
+cvx mark exch
+exec
+counttomark 0 ne{
+mark(Data left on ostack after an immediate stream execution.)//error exec
+}if
+cleartomark
+end
+//PDFR_DEBUG{
+(ExecuteStream end.)=
+}if
+//PDFReader/CurrentObject null put
+dup/IsPage known{
+dup/Context get/NumCopies//knownget exec{
+1 sub{
+copypage
+}repeat
+}if
+EPS2Write not {showpage} if
+}if
+}bind def
+/stream
+{
+//PDFR_DEBUG{
+1 index =only( stream)=
+}if
+1 index GetObject{
+dup xcheck{
+exec
+1 index null PutObject
+}{
+pop
+}ifelse
+}if
+dup/ImmediateExec known{
+dup/GlobalExec//knownget exec{
+currentglobal 4 1 roll
+setglobal
+//ExecuteStream exec
+3 2 roll setglobal
+}{
+//ExecuteStream exec
+}ifelse
+}{
+//StoreStream exec
+}ifelse
+dup/.CleanResources//knownget exec{
+/All eq{
+//CleanAllResources exec
+}if
+}if
+}bind def
+/HookFont
+{
+//PDFR_DEBUG{
+(Loaded the font )print dup/FontName get =
+}if
+{
+dup/FontFileType get dup/Type1 eq exch/MMType1 eq or{
+dup/FontName get
+//PDFReader/RemoveFontNamePrefix get exec
+findfont
+exit
+}if
+dup/FontFileType get/TrueType eq{
+//PDFReader/MakeType42 get exec
+//PDFR_DEBUG{
+(Font dict <<)=
+dup{
+1 index/sfnts eq{
+exch pop
+(/sfnts [)print
+{
+(-string\()print length//=only exec(\)- )=
+}forall
+(])=
+}{
+exch//=only exec( )print ==
+}ifelse
+}forall
+(>>)=
+}if
+dup/FontName get exch definefont
+exit
+}if
+mark(FontHook has no proc for )2 index/FontFileType get//error exec
+}loop
+/Font exch put
+}bind def
+/endstream
+{
+}bind def
+/xref
+{
+//PDFR_DEBUG{
+(xref)=
+//PDFR_DUMP{
+//PDFReader/ObjectRegistry get ==
+}if
+}if
+end
+count 0 ne{
+mark(Excessive data on estack at the end of the interpretation.)//error exec
+}if
+currentfile 1(%%EOF)/SubFileDecode filter
+flushfile
+cleardictstack
+}bind def
+/ResolveDict
+{dup{
+pop 1 index exch
+//DoNothing//ResolveD exec
+pop
+}forall
+pop
+}bind def
+/SetupPageView
+{
+//PDFR_DEBUG{
+(SetupPageView beg)=
+}if
+//DSC_OPDFREAD not{
+//GraphicState/InitialMatrix get setmatrix
+}if
+/MediaBox get aload pop
+3 index neg 3 index neg translate
+3 -1 roll sub 3 1 roll exch sub exch
+userdict/.HWMargins//knownget exec{
+aload pop
+}{
+currentpagedevice/.HWMargins//knownget exec{
+aload pop
+}{
+0 0 0 0
+}ifelse
+}ifelse
+currentpagedevice/PageSize get aload pop
+3 -1 roll sub 3 1 roll exch sub exch
+exch 3 index sub exch 3 index sub
+//SetPageSize{
+//PDFR_DEBUG{
+(Setting page size to )print 1 index//=only exec( )print dup =
+}if
+pop pop 3 index 3 index 2 copy
+currentglobal false setglobal 3 1 roll
+currentpagedevice dup /PageSize known{
+/PageSize get aload pop}{
+0 0}ifelse
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and{
+//PDFR_DEBUG{(PageSize matches request) == flush}if
+pop pop}{
+/MediaRequested where {
+//PDFR_DEBUG{(MediaRequested is true, check against new request) == flush}if
+/MediaRequested get aload pop
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and
+{//PDFR_DEBUG{(MediaRequested same as current request, ignore) == flush}if pop pop false}
+{//PDFR_DEBUG{(MediaRequested different to current request) == flush}if true}ifelse
+}{
+//PDFR_DEBUG{(No MediaRequested yet) == flush}if
+true
+}ifelse
+{
+//PDFR_DEBUG{(Setting pagesize) == flush}if
+2 array astore
+dup /MediaRequested exch def
+<< exch /PageSize exch >> setpagedevice
+}if
+}ifelse
+userdict/PDFR_InitialGS gstate put
+setglobal
+}if
+//RotatePages{
+2 copy gt 6 index 6 index gt ne{
+1 index 5 index le 1 index 5 index le and not
+}{
+false
+}ifelse
+}{
+false
+}ifelse
+{//CenterPages{
+//PDFR_DEBUG{
+(Rotating page, and then centering it)==
+}if
+90 rotate
+0 5 index neg translate
+5 index 1 index exch sub 2 div
+2 index 6 index sub 2 div neg
+translate
+}{
+//FitPages{
+1 index 5 index div 1 index 7 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+90 rotate
+0 5 index neg translate
+}ifelse
+}{
+//CenterPages{
+//PDFR_DEBUG{
+(Ccentering page)==
+}if
+1 index 6 index sub 2 div
+1 index 6 index sub 2 div
+translate
+}{
+//FitPages{
+1 index 6 index div 1 index 6 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+}ifelse
+}ifelse
+pop pop
+translate
+pop pop
+//PDFR_DEBUG{
+(SetupPageView end)=
+}if
+}bind def
+/PageContentsDaemon
+{
+//PDFR_DEBUG{
+(Executing PageContentsDaemon for )print 2 index =
+}if
+1 index exch/Context exch put
+dup/ImmediateExec true put
+dup/IsPage true put
+SetPageSize {dup/Context get//SetupPageView exec}if
+}bind def
+/FontFileDaemon
+{
+//PDFR_DEBUG{
+(Executing FontFileDaemon for )print 2 index =
+}if
+dup/FontFileType get
+2 index exch
+dup//ReadFontProcs exch//knownget exec{
+exch pop exec
+}{
+mark(FontFile reader for )2 index( isn't implemented yet.)//error exec
+}ifelse
+//PDFR_DEBUG{
+(FontFileDaemon end)=
+}if
+pop
+}bind def
+/FontDescriptorDaemon
+{
+//PDFR_DEBUG{
+(Executing FontDescriptorDaemon for )print 2 index =
+}if
+2 copy/FontResource exch put
+/Subtype get 1 index exch/FontFileType exch put
+}bind def
+/UnPDFEscape{
+dup dup length string cvs
+dup(#)search{
+{
+pop
+(16#--)2 index 0 2 getinterval
+1 index 3 2 getinterval copy pop
+cvi
+0 exch put
+0
+1 index 2 1 index length 2 sub getinterval
+3 copy putinterval
+length
+3 copy exch put
+getinterval
+(#)search not{
+pop exit
+}if
+}loop
+(\0)search pop exch pop exch pop
+cvn
+exch pop
+}{
+pop pop
+}ifelse
+}bind def
+/TypeDaemons<<
+/Page
+{//PDFR_DEBUG{
+(Recognized a page.)=
+}if
+dup/Contents//knownget exec{
+0 get//DoNothing exch
+[
+3 index//PageContentsDaemon/exec load
+]cvx
+//Register exec
+}{
+(fixme: page with no Contents won't be printed.)=
+}ifelse
+}bind
+/FontDescriptor
+{//PDFR_DEBUG{
+(Recognized a font descriptor.)=
+}if
+dup/FontName//knownget exec{
+1 index/FontName 3 -1 roll//UnPDFEscape exec put
+}if
+dup dup/FontFile known{/FontFile}{/FontFile2}ifelse
+//knownget exec{
+0 get//DoNothing exch
+[
+3 index//FontFileDaemon/exec load
+]cvx
+//Register exec
+}{
+(Font descriptor )print 1 index =only( has no FontFile.)=
+}ifelse
+}bind
+/Font
+{//PDFR_DEBUG{
+(Recognized a font resource.)=
+}if
+dup/BaseFont//knownget exec{
+//UnPDFEscape exec 2 copy/BaseFont exch put
+//PDFReader/RemoveFontNamePrefix get exec
+currentglobal exch
+dup/Font resourcestatus{
+pop pop
+//PDFReader/GetInstalledFont get exec pop
+}{
+pop
+}ifelse
+setglobal
+}if
+dup/FontDescriptor//knownget exec{
+0 get
+dup//IsRegistered exec{
+//PDFR_DEBUG{
+(already registered )print dup =
+}if
+pop
+}{
+//DoNothing exch
+[
+3 index//FontDescriptorDaemon/exec load
+]cvx
+//Register exec
+}ifelse
+}if
+}bind
+>>def
+/MakeStreamReader
+{dup
+[
+exch
+//PDFR_DEBUG{
+(Stream proc )
+/print load
+//PDFR_STREAM{
+(<)
+/print load
+}if
+}if
+1 dict dup/i -1 put
+/dup load
+/i
+/get load
+1
+/add load
+/dup load
+3
+1
+/roll load
+/i
+/exch load
+/put load
+//knownget
+/exec load
+/not load
+{()}
+/if load
+//PDFR_DEBUG{
+//PDFR_STREAM{
+/dup load
+/print load
+(>)
+/print load
+}if
+( end of stream proc.\n)
+/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Stream reader )print dup ==
+}if
+0()/SubFileDecode filter
+exch//AppendFilters exec
+}bind def
+/RunDelayedStream
+{
+//GraphicState/InitialTextMatrix get
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get
+2 copy get null eq{
+2 copy currentglobal true setglobal matrix exch setglobal put
+}if
+get copy pop
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 add put
+//MakeStreamReader exec
+mark exch
+cvx exec
+counttomark 0 ne{
+mark(Data left on ostack after a delayed stream execution.)//error exec
+}if
+cleartomark
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 sub put
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get get
+//GraphicState/InitialTextMatrix get
+copy pop
+}bind def
+//ReadFontProcs begin
+/Type1
+{//PDFR_DEBUG{
+(ReadFontProcs.Type1)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+dup/ImmediateExec true put
+/GlobalExec true put
+}bind def
+/MMType1//Type1 def
+/TrueType
+{//PDFR_DEBUG{
+(ReadFontProcs.TrueType)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+pop
+}bind def
+end
+/.opdloadttfontdict 50 dict def
+.opdloadttfontdict begin
+/maxstring 65400 def
+end
+/.InsertionSort
+{
+/CompareProc exch def
+/Array exch def
+1 1 Array length 1 sub
+{
+/Ix exch def
+/Value1 Array Ix get def
+/Jx Ix 1 sub def
+{
+Jx 0 lt{
+exit
+}if
+/Value2 Array Jx get def
+Value1 Value2 CompareProc{
+exit
+}if
+Array Jx 1 add Value2 put
+/Jx Jx 1 sub def
+}loop
+Array Jx 1 add Value1 put
+}for
+Array
+}bind def
+/putu16{
+3 copy -8 bitshift put
+exch 1 add exch 16#ff and put
+}bind def
+/putu32{
+3 copy -16 bitshift putu16
+exch 2 add exch 16#ffff and putu16
+}bind def
+/.readtable{
+dup dup 1 and add string
+dup 0 4 -1 roll getinterval
+3 -1 roll exch
+dup()ne{readstring}if pop pop
+}bind def
+/.readbigtable{
+dup maxstring lt{
+.readtable
+}{
+currentuserparams/VMReclaim get -2 vmreclaim
+[4 2 roll{
+dup maxstring le{exit}if
+1 index maxstring string readstring pop 3 1 roll maxstring sub
+}loop .readtable]
+exch vmreclaim
+}ifelse
+}bind def
+/ReadTTF
+{
+.opdloadttfontdict begin
+/TTFontFile exch def
+/TableDir TTFontFile 12 string readstring pop def
+/tables TTFontFile TableDir 4 getu16 16 mul string readstring pop def
+/tabarray tables length 16 idiv array def
+TableDir 0 4 getinterval(ttcf)eq{
+QUIET not{(Can't handle TrueType font Collections.)=}if
+/.loadttfonttables cvx/invalidfont signalerror
+}{
+0 16 tables length 1 sub{
+dup
+tables exch 16 getinterval
+exch 16 div cvi exch
+tabarray 3 1 roll put
+}for
+}ifelse
+tabarray{exch 8 getu32 exch 8 getu32 gt}.InsertionSort pop
+/Read TableDir length tables length add def
+/tabs[
+tabarray{
+dup 8 getu32
+Read sub
+dup 0 gt{
+dup string TTFontFile exch readstring pop pop
+Read add/Read exch def
+}{
+pop
+}ifelse
+12 getu32
+dup Read add
+/Read exch def
+TTFontFile exch .readbigtable
+}forall
+]def
+end
+}bind def
+/GetLocaType
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(head)eq{
+tabs exch get
+50 gets16
+/LocaType exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/GetNumGlyphs
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(maxp)eq{
+tabs exch get
+4 getu16
+/NumGlyphs exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/StringToLoca
+{
+/LocaIndex exch def
+/StringOffset 0 def
+{
+dup length StringOffset gt{
+dup
+LocaType 1 eq{
+StringOffset getu32
+LocaArray LocaIndex 3 -1 roll put
+/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 4 add
+def
+}{
+StringOffset getu16 2 mul
+LocaArray length LocaIndex gt {LocaArray LocaIndex 3 -1 roll put}{pop}ifelse/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 2 add
+def
+}ifelse
+}{
+pop
+LocaIndex
+exit
+}ifelse
+}loop
+}bind def
+/GetSortedLoca
+{
+NumGlyphs 1 add array/LocaArray exch def
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(loca)eq{
+tabs exch get
+exit
+}{
+pop
+}ifelse
+}for
+dup type/stringtype eq{
+0 StringToLoca pop
+}{
+0 exch
+{
+exch StringToLoca
+}forall
+pop
+}ifelse
+LocaArray{gt}.InsertionSort pop
+}bind def
+/GetWorkingString
+{
+WorkString 0
+GlyfArray GlyfStringIndex get
+putinterval
+/WorkBytes GlyfArray GlyfStringIndex get length def
+/GlyfStringIndex GlyfStringIndex 1 add def
+}bind def
+/GetWorkingBytes
+{
+/BytesToRead exch def
+WorkString 0 BytesToRead getinterval
+dup length string copy
+WorkString BytesToRead WorkBytes BytesToRead sub getinterval
+dup length string copy
+WorkString 0 3 -1 roll putinterval
+/WorkBytes WorkBytes BytesToRead sub def
+}bind def
+/GetGlyfBytes
+{
+/ToRead exch def
+WorkBytes 0 eq{
+GetWorkingString
+}if
+WorkBytes ToRead ge{
+ToRead string dup 0
+ToRead GetWorkingBytes putinterval
+}{
+ToRead string
+dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+ToRead WorkBytes sub
+GetWorkingString
+GetWorkingBytes
+putinterval
+}ifelse
+}bind def
+/SplitGlyf
+{
+/GlyfArray exch def
+/DestArray GlyfArray length 2 mul array def
+/DestArrayIndex 0 def
+/LastLoca 0 def
+/NextLocaIndex 0 def
+/LastLocaIndex 0 def
+/GlyfStringIndex 0 def
+/WorkString maxstring string def
+/WorkBytes 0 def
+{
+LocaArray NextLocaIndex get
+LastLoca sub maxstring gt
+{
+LocaArray LastLocaIndex get LastLoca sub
+GetGlyfBytes
+DestArray DestArrayIndex 3 -1 roll put
+/DestArrayIndex DestArrayIndex 1 add def
+LocaArray LastLocaIndex get/LastLoca exch def
+}{
+/LastLocaIndex NextLocaIndex def
+/NextLocaIndex NextLocaIndex 1 add def
+NextLocaIndex NumGlyphs gt
+{
+WorkBytes
+GlyfStringIndex GlyfArray length lt{
+GlyfArray GlyfStringIndex get length
+add string dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+GetWorkingString
+WorkString 0 WorkBytes getinterval
+putinterval
+}{
+pop
+WorkString 0 WorkBytes getinterval
+}ifelse
+dup length string copy
+DestArray DestArrayIndex 3 -1 roll put
+exit
+}if
+}ifelse
+}loop
+DestArray
+}bind def
+/ProcessTTData
+{
+.opdloadttfontdict begin
+0 1 tabarray length 1 sub{
+/ix exch def
+tabarray ix get
+12 getu32 dup maxstring le{
+dup 4 mod 0 ne{
+4 div cvi 1 add 4 mul string/newstring exch def
+/oldstring tabs ix get def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix newstring put
+}{
+pop
+}ifelse
+}{
+dup 4 mod 0 ne{
+dup maxstring idiv maxstring mul sub
+4 idiv 1 add 4 mul string/newstring exch def
+tabs ix get
+dup length 1 sub dup/iy exch def get/oldstring exch def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix get iy newstring put
+}{
+pop
+}ifelse
+}ifelse
+}for
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+dup 12 getu32 maxstring gt{
+0 4 getinterval dup(glyf)eq{
+pop
+GetLocaType
+GetNumGlyphs
+GetSortedLoca
+dup tabs exch get
+SplitGlyf
+tabs 3 1 roll put
+}{
+(Warning, table )print print( > 64Kb\n)print
+pop
+}ifelse
+}{
+pop
+pop
+}ifelse
+}for
+end
+}bind def
+/Makesfnts
+{
+.opdloadttfontdict begin
+0
+tabs{
+dup type/stringtype eq{
+pop
+1 add
+}{
+{
+type/stringtype eq{
+1 add
+}if
+}forall
+}ifelse
+}forall
+1 add
+/TTOffset
+TableDir length
+tabarray length 16 mul add
+def
+0
+tabarray{
+exch dup 1 add
+3 1 roll
+dup
+tabs exch get
+dup type/stringtype eq{
+length
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}{
+0 exch
+{
+dup type/stringtype eq{
+length add
+}{
+pop
+}ifelse
+}forall
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}ifelse
+}forall
+pop
+array
+dup 0
+TableDir length
+tables length add
+string
+dup 0 TableDir putinterval
+dup 12 tables putinterval
+put
+dup
+/ix 1 def
+tabs{
+dup type/stringtype eq{
+ix exch
+put dup
+/ix ix 1 add def
+}{
+{
+dup type/stringtype eq{
+ix exch put dup
+/ix ix 1 add def
+}{
+pop
+}ifelse
+}forall
+}ifelse
+}forall
+pop
+end
+}bind def
+/MakeType42
+{
+//PDFR_DEBUG{
+(MakeType42 beg)=
+}if
+10 dict begin
+/FontName 1 index/FontName get def
+/FontType 42 def
+/FontMatrix[1 0 0 1 0 0]def
+/FontBBox 1 index/FontBBox get def
+dup/FontResource get
+dup/Encoding known{
+//PDFReader/ObtainEncoding get exec
+/Encoding get
+}{
+pop null
+}ifelse
+/PDFEncoding exch def
+/CharStrings 2 index//PDFReader/MakeTTCharStrings get exec def
+/sfnts 2 index//MakeStreamReader exec
+ReadTTF
+ProcessTTData
+Makesfnts
+def
+/Encoding StandardEncoding def
+/PaintType 0 def
+currentdict end
+//PDFR_DEBUG{
+(MakeType42 end)=
+}if
+}bind def
+/GetInstalledFont
+{
+dup//InstalledFonts exch knownget{
+exch pop
+}{
+dup findfont dup 3 1 roll
+//InstalledFonts 3 1 roll put
+}ifelse
+}bind def
+/RemoveFontNamePrefix
+{//=string cvs true
+0 1 5{
+2 index exch get//IsUpper exec not{
+pop false exit
+}if
+}for
+{(+)search{
+pop pop
+}if
+}if
+cvn
+}bind def
+/CheckFont
+{dup/Type get/Font ne{
+mark(Resource )3 index( must have /Type/Font .)//error exec
+}if
+}bind def
+/CheckEncoding
+{dup type/nametype ne{
+dup/Type get/Encoding ne{
+mark(Resource )3 index( must have /Type/Encoding .)//error exec
+}if
+}if
+}bind def
+/ObtainEncoding
+{dup/Encoding known{
+dup dup/Encoding//CheckEncoding//ResolveD exec
+dup type dup/arraytype eq exch/packedarraytype eq or{
+pop pop
+}{
+dup type/nametype eq{
+/Encoding findresource
+}{
+dup/BaseEncoding//knownget exec not{
+/StandardEncoding
+}if
+/Encoding findresource
+exch
+/Differences//knownget exec{
+exch dup length array copy exch
+0 exch
+{
+dup type/integertype eq{
+exch pop
+}{
+3 copy put pop
+1 add
+}ifelse
+}forall
+pop
+}if
+}ifelse
+/Encoding exch put
+}ifelse
+}{
+dup/Encoding/StandardEncoding/Encoding findresource put
+}ifelse
+}bind def
+/ObtainMetrics
+{dup/Widths//knownget exec{
+1 index/Encoding get
+256 dict
+3 index/Subtype get/TrueType eq{
+1000
+}{
+1
+}ifelse
+4 index/MissingWidth//knownget exec not{
+0
+}if
+5 index/FirstChar//knownget exec not{
+0
+}if
+6 5 roll
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+exch 3 index add
+7 index exch get
+dup dup null ne exch/.notdef ne and{
+6 index 3 1 roll exch
+6 index div
+3 copy pop//knownget exec{
+0 eq
+}{
+true
+}ifelse
+{put
+}{
+pop pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}for
+pop pop pop pop exch pop
+1 index exch/Metrics exch put
+}{
+dup/MissingWidth//knownget exec{
+256 dict
+2 index/Encoding get{
+dup null ne{
+3 copy 3 2 roll put
+}if
+pop
+}forall
+exch pop
+1 index exch/Metrics exch put
+}if
+}ifelse
+}bind def
+/NotDef
+{
+FontMatrix aload pop pop pop exch pop exch pop
+1 exch div exch
+1 exch div exch
+1 index 0 setcharwidth
+0 setlinewidth
+0 0 moveto
+2 copy rlineto
+1 index 0 rlineto
+neg exch neg exch rlineto
+closepath stroke
+}bind def
+/SaveResourcesToStack{[//PDFReader/OldResources known{//PDFReader/OldResources get}{null}ifelse
+//PDFReader/CurrentObject get/Context get/Resources get]//PDFReader/OldResources 3 -1 roll put}bind def
+/RestoreResourcesFromStack{//PDFReader/OldResources get dup
+0 get//PDFReader/OldResources 3 -1 roll put
+1 get//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put} bind def
+/BuildChar
+{//PDFR_DEBUG{
+(BuildChar )print dup//=only exec( )print
+}if
+exch begin
+Encoding exch get
+//PDFR_DEBUG{
+dup =
+}if
+dup null eq{
+pop//NotDef exec
+}{
+CharProcs exch//knownget exec{currentfont/Font get/Resources//knownget exec{exec SaveResourcesToStack//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put//RunDelayedStream exec RestoreResourcesFromStack}{//RunDelayedStream exec}ifelse}{
+//NotDef exec
+}ifelse
+}ifelse
+end
+}bind def
+/printdict
+{(<<)=
+{exch = ==}forall
+(>>)=
+}bind def
+/printfont
+{
+dup{
+exch dup =
+dup/Encoding eq{
+pop =
+}{
+dup/FontInfo eq exch/Private eq or{
+//printdict exec
+}{
+==
+}ifelse
+}ifelse
+}forall
+}bind def
+/ScaleMetrics
+{1 index{
+2 index div
+3 index
+3 1 roll put
+}forall
+pop
+}bind def
+/ResolveAndSetFontAux
+{exch dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Font//DoNothing//ResolveD exec
+exch//CheckFont//ResolveD exec
+dup/Font//knownget exec{
+exch pop exch pop
+}{
+{
+dup/Subtype get dup dup/Type1 eq exch/TrueType eq or exch/MMType1 eq or{
+exch pop
+dup/BaseFont get
+//RemoveFontNamePrefix exec
+//PDFR_DEBUG{
+(Font )print dup =
+}if
+1 index/FontDescriptor known{
+//PDFR_DEBUG{
+(Font from a font descriptor.)=
+}if
+1 index
+/FontDescriptor//DoNothing//ResolveD exec
+/Font//knownget exec{
+exch pop
+}{
+//PDFR_DEBUG{
+(Font descriptor has no Font resolved.)=
+}if
+//GetInstalledFont exec
+}ifelse
+}{
+//GetInstalledFont exec
+}ifelse
+exch
+dup/Encoding known not{
+1 index/Encoding get 1 index exch/Encoding exch put
+}if
+//ObtainEncoding exec
+//ObtainMetrics exec
+exch
+dup length dict copy
+dup 2 index/Encoding get
+/Encoding exch put
+1 index/Metrics//knownget exec{
+2 index/Subtype get/TrueType ne{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+0.001 div
+//ScaleMetrics exec
+}{
+1 index/sfnts known not{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+//ScaleMetrics exec
+}if
+}ifelse
+1 index exch/Metrics exch put
+}if
+1 index/BaseFont get
+exch
+dup/FID undef
+dup/UniqueID undef
+definefont
+dup 3 1 roll
+/Font exch put
+exit
+}if
+dup/Subtype get/Type3 eq{
+//ObtainEncoding exec
+2 copy exch/FontName exch put
+dup/CharProcs get//ResolveDict exec
+dup/FontType 3 put
+dup/BuildChar//BuildChar put
+dup dup/Font exch put
+dup 3 1 roll
+definefont
+2 copy ne{
+2 copy/Font exch put
+}if
+exch pop
+exit
+}if
+dup/Subtype get/Type0 eq{
+}if
+dup/Subtype get/CIDFontType0 eq{
+}if
+dup/Subtype get/CIDFontType2 eq{
+}if
+mark(Unknown font type )2 index/Subtype get//error exec
+}loop
+}ifelse
+exch scalefont setfont
+}bind def
+/ResolveAndSetFont
+{
+//ResolveAndSetFontAux exec
+}bind def
+/.knownget
+{2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/.min
+{2 copy lt{
+exch
+}if
+pop
+}bind def
+/.max
+{2 copy gt{
+exch
+}if
+pop
+}bind def
+/.dicttomark
+{>>
+}bind def
+/getu16{
+2 copy get 8 bitshift 3 1 roll 1 add get add
+}bind def
+/gets16{
+getu16 16#8000 xor 16#8000 sub
+}bind def
+/getu32{
+2 copy getu16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/gets32{
+2 copy gets16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/cmapformats mark
+0{
+6 256 getinterval{}forall 256 packedarray
+}bind
+2{
+/sHK_sz 2 def
+/sH_sz 8 def
+dup 2 getu16/cmapf2_tblen exch def
+dup 4 getu16/cmapf2_lang exch def
+dup 6 256 sHK_sz mul getinterval/sHKs exch def
+0
+0 1 255{
+sHKs exch
+2 mul getu16
+1 index
+1 index
+lt{exch}if pop
+}for
+/sH_len exch def
+dup 6 256 sHK_sz mul add
+cmapf2_tblen 1 index sub getinterval
+/sH_gIA exch def
+/cmapf2_glyph_array 65535 array def
+/.cmapf2_putGID{
+/cmapf2_ch cmapf2_ch_hi 8 bitshift cmapf2_ch_lo add def
+firstCode cmapf2_ch_lo le
+cmapf2_ch_lo firstCode entryCount add lt
+and{
+sH_offset idRangeOffset add
+cmapf2_ch_lo firstCode sub 2 mul
+add 6 add
+sH_gIA exch getu16
+dup 0 gt{
+idDelta add
+cmapf2_glyph_array exch cmapf2_ch exch put
+}{
+pop
+}ifelse
+}{
+}ifelse
+}def
+16#00 1 16#ff{
+/cmapf2_ch_hi exch def
+sHKs cmapf2_ch_hi sHK_sz mul getu16
+/sH_offset exch def
+sH_gIA sH_offset sH_sz getinterval
+dup 0 getu16/firstCode exch def
+dup 2 getu16/entryCount exch def
+dup 4 gets16/idDelta exch def
+dup 6 getu16/idRangeOffset exch def
+pop
+sH_offset 0 eq{
+/cmapf2_ch_lo cmapf2_ch_hi def
+/cmapf2_ch_hi 0 def
+.cmapf2_putGID
+}{
+16#00 1 16#ff{
+/cmapf2_ch_lo exch def
+.cmapf2_putGID
+}for
+}ifelse
+}for
+pop
+0 1 cmapf2_glyph_array length 1 sub{
+dup cmapf2_glyph_array exch get
+null eq{cmapf2_glyph_array exch 0 put}{pop}ifelse
+}for
+cmapf2_glyph_array
+}bind
+4{
+/etab exch def
+/nseg2 etab 6 getu16 def
+14/endc etab 2 index nseg2 getinterval def
+2 add
+nseg2 add/startc etab 2 index nseg2 getinterval def
+nseg2 add/iddelta etab 2 index nseg2 getinterval def
+nseg2 add/idroff etab 2 index nseg2 getinterval def
+pop
+/firstcode startc 0 getu16 16#ff00 and dup 16#f000 ne{pop 0}if def
+/lastcode firstcode def
+/striptopbyte false def
+/putglyph{
+glyphs code 3 -1 roll put/code code 1 add def
+}bind def
+/numcodes 0 def/glyphs 0 0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+ecode lastcode gt {
+/lastcode ecode def
+}if
+}for pop
+firstcode 16#f000 ge lastcode firstcode sub 255 le and {
+lastcode 255 and
+/striptopbyte true def
+} {
+lastcode
+}ifelse
+1 add
+array def
+glyphs length 1024 ge{
+.array1024z 0 1024 glyphs length 1023 sub{glyphs exch 2 index putinterval}for
+glyphs dup length 1024 sub 3 -1 roll
+putinterval
+}{
+0 1 glyphs length 1 sub{glyphs exch 0 put}for
+}ifelse
+/numcodes 0 def/code 0 def
+0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+numcodes scode firstcode sub
+exch sub 0 .max dup/code exch code exch add def
+ecode scode sub 1 add add numcodes add/numcodes exch def
+/delta iddelta i2 gets16 def
+TTFDEBUG{
+(scode=)print scode =only
+( ecode=)print ecode =only
+( delta=)print delta =only
+( droff=)print idroff i2 getu16 =
+}if
+idroff i2 getu16 dup 0 eq{
+pop scode delta add 65535 and 1 ecode delta add 65535 and
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+{putglyph}for
+}{
+/gloff exch 14 nseg2 3 mul add 2 add i2 add add def
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+0 1 ecode scode sub{
+2 mul gloff add etab exch getu16
+dup 0 ne{delta add 65535 and}if putglyph
+}for
+}ifelse
+}for glyphs/glyphs null def
+}bind
+6{
+dup 6 getu16/firstcode exch def dup 8 getu16/ng exch def
+firstcode ng add array
+0 1 firstcode 1 sub{2 copy 0 put pop}for
+dup firstcode ng getinterval
+0 1 ng 1 sub{
+dup 2 mul 10 add 4 index exch getu16 3 copy put pop pop
+}for pop exch pop
+}bind
+.dicttomark readonly def
+/cmaparray{
+dup 0 getu16 cmapformats exch .knownget{
+TTFDEBUG{
+(cmap: format )print 1 index 0 getu16 = flush
+}if exec
+}{
+(Can't handle format )print 0 getu16 = flush
+0 1 255{}for 256 packedarray
+}ifelse
+TTFDEBUG{
+(cmap: length=)print dup length = dup ==
+}if
+}bind def
+/postremap mark
+/Cdot/Cdotaccent
+/Edot/Edotaccent
+/Eoverdot/Edotaccent
+/Gdot/Gdotaccent
+/Ldot/Ldotaccent
+/Zdot/Zdotaccent
+/cdot/cdotaccent
+/edot/edotaccent
+/eoverdot/edotaccent
+/gdot/gdotaccent
+/ldot/ldotaccent
+/zdot/zdotaccent
+.dicttomark readonly def
+/get_from_stringarray
+{1 index type/stringtype eq{
+get
+}{
+exch{
+2 copy length ge{
+length sub
+}{
+exch get exit
+}ifelse
+}forall
+}ifelse
+}bind def
+/getinterval_from_stringarray
+{
+2 index type/stringtype eq{
+getinterval
+}{
+string exch 0
+4 3 roll{
+dup length
+dup 4 index lt{
+3 index exch sub
+exch pop 3 1 roll exch pop
+}{
+dup 3 1 roll
+4 index sub
+5 index length 4 index sub
+2 copy gt{exch}if pop
+dup 3 1 roll
+5 index exch getinterval
+5 index 4 index 3 index
+getinterval
+copy pop
+exch pop add exch pop 0 exch
+dup 3 index length ge{exit}if
+}ifelse
+}forall
+pop pop
+}ifelse
+}bind def
+/string_array_size
+{dup type/stringtype eq{
+length
+}{
+0 exch{length add}forall
+}ifelse
+}bind def
+/postformats mark
+16#00010000{
+pop MacGlyphEncoding
+}
+16#00020000{
+dup dup type/arraytype eq{0 get}if length 36 lt{
+TTFDEBUG{(post format 2.0 invalid.)= flush}if
+pop[]
+}{
+/postglyphs exch def
+/post_first postglyphs dup type/arraytype eq{0 get}if def
+post_first 32 getu16/numglyphs exch def
+/glyphnames numglyphs 2 mul 34 add def
+/postpos glyphnames def
+/total_length postglyphs//string_array_size exec def
+numglyphs array 0 1 numglyphs 1 sub{
+postpos total_length ge{
+1 numglyphs 1 sub{1 index exch/.notdef put}for
+exit
+}if
+postglyphs postpos//get_from_stringarray exec
+postglyphs postpos 1 add 2 index//getinterval_from_stringarray exec cvn
+exch postpos add 1 add/postpos exch def
+2 index 3 1 roll
+put
+}for
+/postnames exch def
+numglyphs array 0 1 numglyphs 1 sub{
+dup 2 mul 34 add postglyphs exch 2//getinterval_from_stringarray exec
+dup 0 get 8 bitshift exch 1 get add dup 258 lt{
+MacGlyphEncoding exch get
+}{
+dup 32768 ge{
+pop/.notdef
+}{
+258 sub dup postnames length ge{
+TTFDEBUG{(   *** warning: glyph index past end of 'post' table)= flush}if
+pop
+exit
+}if
+postnames exch get
+postremap 1 index .knownget{exch pop}if
+}ifelse
+}ifelse
+2 index 3 1 roll put
+}for
+}
+ifelse
+}bind
+16#00030000{
+pop[]
+}bind
+.dicttomark readonly def
+/first_post_string
+{
+post dup type/arraytype eq{0 get}if
+}bind def
+/.getpost{
+/glyphencoding post null eq{
+TTFDEBUG{(post missing)= flush}if[]
+}{
+postformats first_post_string 0 getu32 .knownget{
+TTFDEBUG{
+(post: format )print
+first_post_string
+dup 0 getu16 =only(,)print 2 getu16 = flush
+}if
+post exch exec
+}{
+TTFDEBUG{(post: unknown format )print post 0 getu32 = flush}if[]
+}ifelse
+}ifelse def
+}bind def
+/TTParser<<
+/Pos 0
+/post null
+>>def
+/readu8
+{read not{
+mark(Insufficient data in the stream.)//error exec
+}if
+}bind def
+/readu16
+{dup//readu8 exec 8 bitshift exch//readu8 exec or
+}bind def
+/reads16
+{//readu16 exec 16#8000 xor 16#8000 sub
+}bind def
+/readu32
+{dup//readu16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/reads32
+{dup//reads16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/SkipToPosition
+{dup//TTParser/Pos get
+exch//TTParser exch/Pos exch put
+sub
+//PDFR_DEBUG{
+(Skipping )print dup//=only exec( bytes.)=
+}if
+dup 0 eq{
+pop pop
+}{
+dup 3 1 roll
+()/SubFileDecode filter
+exch
+{1 index//BlockBuffer readstring pop length
+dup 0 eq{pop exch pop exit}if
+sub
+}loop
+0 ne{
+mark(Insufficient data in the stream for SkipToPosition.)//error exec
+}if
+}ifelse
+}bind def
+/TagBuffer 4 string def
+/ParseTTTableDirectory
+{//PDFR_DEBUG{
+(ParseTTTableDirectory beg)=
+}if
+15 dict begin
+dup//readu32 exec 16#00010000 ne{
+mark(Unknown True Type version.)//error exec
+}if
+dup//readu16 exec/NumTables exch def
+dup//readu16 exec/SearchRange exch def
+dup//readu16 exec/EntrySelector exch def
+dup//readu16 exec/RangeShift exch def
+//PDFR_DEBUG{
+(NumTables = )print NumTables =
+}if
+NumTables{
+dup//TagBuffer readstring not{
+mark(Could not read TT tag.)//error exec
+}if
+cvn
+[2 index//readu32 exec pop
+2 index//readu32 exec
+3 index//readu32 exec
+]
+//PDFR_DEBUG{
+2 copy exch//=only exec( )print ==
+}if
+def
+}repeat
+pop
+//TTParser/Pos 12 NumTables 16 mul add put
+currentdict end
+//PDFR_DEBUG{
+(ParseTTTableDirectory end)=
+}if
+}bind def
+/ParseTTcmap
+{//PDFR_DEBUG{
+(ParseTTcmap beg)=
+}if
+/cmap get aload pop
+3 1 roll
+7 dict begin
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(cmap position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos get/TablePos exch def
+dup//readu16 exec pop
+dup//readu16 exec/NumEncodings exch def
+//PDFR_DEBUG{
+(NumEncodings = )print NumEncodings =
+}if
+null
+NumEncodings{
+1 index//readu32 exec
+2 index//readu32 exec
+3 array dup 3 2 roll 0 exch put
+2 index null ne{
+dup 0 get 3 index 0 get sub
+3 index exch 1 exch put
+}if
+dup 4 3 roll pop 3 1 roll
+def
+}repeat
+dup 0 get
+4 3 roll exch sub
+1 exch put
+//PDFR_DEBUG{
+currentdict{
+exch dup type/integertype eq{
+//PrintHex exec( )print ==
+}{
+pop pop
+}ifelse
+}forall
+}if
+4 NumEncodings 8 mul add/HeaderLength exch def
+//TTParser/Pos//TTParser/Pos get HeaderLength add put
+0
+NumEncodings{
+16#7FFFFFF null
+currentdict{
+1 index type/integertype eq{
+exch pop dup 0 get
+dup 5 index gt{
+dup 4 index lt{
+4 1 roll
+exch pop exch pop
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}forall
+//PDFR_DEBUG{
+(Obtaining subtable for )print dup ==
+}if
+3 2 roll pop
+3 copy pop
+TablePos add//SkipToPosition exec
+3 copy exch pop 1 get
+//TTParser/Pos//TTParser/Pos get 3 index add put
+string
+readstring not{
+mark(Can't read a cmap subtable.)//error exec
+}if
+2 exch put
+}repeat
+pop pop
+currentdict end
+//PDFR_DEBUG{
+(ParseTTcmap end)=
+}if
+}bind def
+/GetTTEncoding
+{//PDFR_DEBUG{
+(GetTTEncoding beg)=
+}if
+get
+exch pop
+2 get
+10 dict begin
+/TTFDEBUG//PDFR_DEBUG def
+//cmaparray exec
+end
+//PDFR_DEBUG{
+(GetTTEncoding end)=
+dup ==
+}if
+}bind def
+/InverseEncoding
+{
+256 dict begin
+dup length 1 sub -1 0{
+2 copy get
+exch
+1 index currentdict exch//knownget exec{
+dup type/arraytype eq{
+aload length 1 add array astore
+}{
+2 array astore
+}ifelse
+}if
+def
+}for
+pop
+currentdict end
+}bind def
+/GetMacRomanEncodingInverse
+{//PDFReader/MacRomanEncodingInverse get
+dup null eq{
+pop
+MacRomanEncoding//InverseEncoding exec
+dup//PDFReader exch/MacRomanEncodingInverse exch put
+}if
+}bind def
+/PutCharStringSingle
+{
+dup 3 index length lt{
+2 index exch get
+dup 0 ne{
+def
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/PutCharString
+{1 index type/nametype ne{
+mark(Bad charstring name)//error exec
+}if
+dup type/arraytype eq{
+{
+3 copy//PutCharStringSingle exec
+pop pop
+}forall
+pop
+}{
+//PutCharStringSingle exec
+}ifelse
+}bind def
+/ComposeCharStrings
+{
+//PDFR_DEBUG{
+(ComposeCharStrings beg)=
+}if
+1 index length 1 add dict begin
+/.notdef 0 def
+exch
+//TTParser/post get
+dup null ne{
+exch
+1 index length 1 sub -1 0{
+dup 3 index exch get exch
+dup 0 eq 2 index/.notdef eq or{
+pop pop
+}{
+def
+}ifelse
+}for
+}if
+exch pop exch
+{
+//PutCharString exec
+}forall
+pop
+currentdict end
+//PDFR_DEBUG{
+(ComposeCharStrings end)=
+}if
+}bind def
+/ParseTTpost
+{
+//PDFR_DEBUG{
+(ParseTTpost beg)=
+}if
+/post get aload pop
+3 1 roll
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(post position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos//TTParser/Pos get 4 index add put
+exch dup 65535 le{
+string
+readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}{
+[3 1 roll
+dup 16384 div floor cvi
+exch 1 index 16384 mul
+sub exch
+1 sub 0 1 3 -1 roll
+{
+1 add index
+16384 string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}for
+counttomark -2 roll
+string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+]
+}ifelse
+1 dict begin
+/post exch def
+//.getpost exec
+//TTParser/post glyphencoding put
+//PDFR_DEBUG{
+(ParseTTpost end)=
+glyphencoding ==
+}if
+end
+}bind def
+/MakeTTCharStrings
+{//MakeStreamReader exec
+dup dup//ParseTTTableDirectory exec
+//TTParser/post null put
+dup/post//knownget exec{
+0 get
+1 index/cmap get 0 get
+lt{
+2 copy//ParseTTpost exec
+//ParseTTcmap exec
+}{
+2 copy//ParseTTcmap exec
+3 1 roll
+//ParseTTpost exec
+}ifelse
+}{
+//ParseTTcmap exec
+}ifelse
+{
+dup 16#00030001 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Windows Unicode.)=
+}if
+16#00030001//GetTTEncoding exec
+AdobeGlyphList//ComposeCharStrings exec
+exit
+}if
+dup 16#00010000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Macintosh Roman.)=
+}if
+16#00010000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+dup 16#00030000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding 3.0 - not sure why Ghostscript writes it since old versions.)=
+}if
+16#00030000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+mark(True Type cmap has no useful encodings.)//error exec
+}loop
+//PDFR_DEBUG{
+(CharStrings <<)=
+dup{
+exch
+dup type/nametype eq{
+//=only exec
+}{
+==
+}ifelse
+( )print ==
+}forall
+(>>)=
+}if
+}bind def
+/ScaleVal
+{
+aload pop
+1 index sub
+3 2 roll mul add
+}bind def
+/ScaleArg
+{
+aload pop
+1 index sub
+3 1 roll
+sub exch div
+}bind def
+/ScaleArgN
+{
+dup length 2 sub -2 0{
+2
+2 index 3 1 roll getinterval
+3 2 roll
+exch//ScaleArg exec
+1 index length 2 idiv 1 add 1 roll
+}for
+pop
+}bind def
+/ComputeFunction_10
+{
+//PDFR_DEBUG{
+(ComputeFunction_10 beg )print 1 index//=only exec( stack=)print count =
+}if
+exch
+dup 1 eq{
+pop dup length 1 sub get
+}{
+1 index length 1 sub mul
+dup dup floor sub
+dup 0 eq{
+pop cvi get
+}{
+3 1 roll floor cvi
+2 getinterval
+aload pop
+2 index mul 3 2 roll 1 exch sub 3 2 roll mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_10 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/ComputeFunction_n0
+{
+//PDFR_DEBUG{
+(ComputeFunction_n0 beg N=)print dup//=only exec( stack=)print count =
+}if
+dup 0 eq{
+pop
+}{
+dup 2 add -1 roll
+dup 3 index length 1 sub ge{
+pop 1 sub
+exch dup length 1 sub get exch
+//PDFReader/ComputeFunction_n0 get exec
+}{
+dup floor cvi dup
+4 index exch get
+3 index dup
+5 add copy
+6 2 roll
+pop pop pop pop
+1 sub
+//PDFReader/ComputeFunction_n0 get exec
+3 2 roll pop
+exch
+4 3 roll exch
+4 add 2 roll 1 add
+3 2 roll exch get
+exch 1 sub
+//PDFReader/ComputeFunction_n0 get exec
+1 index mul
+3 1 roll
+1 exch sub mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_n0 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/FunctionToProc_x01
+{
+dup/Domain get exch
+dup/Data get 0 get exch
+/Size get length
+[4 1 roll
+//PDFR_DEBUG{
+{(function beg, stack =)print count//=only exec(\n)print}/exec load
+5 2 roll
+}if
+dup 1 gt{
+{mark exch
+3 add 2 roll
+//ScaleArgN exec
+counttomark dup
+3 add -2 roll
+pop exch
+//ComputeFunction_n0 exec
+}/exec load
+}{
+pop
+3 1/roll load//ScaleArg/exec load
+/exch load
+//ComputeFunction_10/exec load
+}ifelse
+//PDFR_DEBUG{
+(function end, stack =)/print load/count load//=only/exec load(\n)/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Made a procedure for the 1-result function :)=
+dup ==
+}if
+}bind def
+/FunctionProcDebugBeg
+{(FunctionProcDebugBeg )print count =
+}bind def
+/FunctionProcDebugEnd
+{(FunctionProcDebugEnd )print count =
+}bind def
+/FunctionToProc_x0n
+{
+PDFR_DEBUG{
+(FunctionToProc_x0n beg m=)print dup =
+}if
+1 index/Size get length exch
+dup 7 mul 2 add array
+PDFR_DEBUG{
+dup 0//FunctionProcDebugBeg put
+}{
+dup 0//DoNothing put
+}ifelse
+dup 1/exec load put
+dup 2 5 index/Domain get put
+2 index 1 eq{
+dup 3//ScaleArg put
+}{
+dup 3//ScaleArgN put
+}ifelse
+dup 4/exec load put
+1 index 1 sub 0 exch 1 exch{
+dup 7 mul 5 add
+1 index 4 index 1 sub ne{
+dup 3 index exch 6 index put 1 add
+dup 3 index exch/copy load put 1 add
+}if
+[
+6 index/Data get 3 index get
+6 index 1 eq{
+//ComputeFunction_10/exec load
+}{
+6 index
+//ComputeFunction_n0/exec load
+}ifelse
+]cvx
+3 index exch 2 index exch put 1 add
+2 index 1 index/exec load put 1 add
+1 index 4 index 1 sub ne{
+2 index 1 index 6 index 1 add put 1 add
+2 index 1 index 1 put 1 add
+2 index 1 index/roll load put
+}if
+pop pop
+}for
+PDFR_DEBUG{
+dup dup length 2 sub//FunctionProcDebugEnd put
+}{
+dup dup length 2 sub//DoNothing put
+}ifelse
+dup dup length 1 sub/exec load put
+cvx exch pop exch pop exch pop
+//PDFR_DEBUG{
+(Made a procedure for the n-argument function :)=
+dup ==
+}if
+PDFR_DEBUG{
+(FunctionToProc_x0n end)=
+}if
+}bind def
+/MakeTableRec
+{
+0
+exec
+}bind def
+/MakeTable
+{//PDFR_DEBUG{
+(MakeTable beg )print count =
+}if
+1 index/Size get exch
+1 sub dup
+3 1 roll
+get
+array
+1 index 0 eq{
+exch pop exch pop
+}{
+dup length 1 sub -1 0{
+3 index 3 index//MakeTableRec exec
+2 index 3 1 roll put
+}for
+exch pop exch pop
+}ifelse
+//PDFR_DEBUG{
+(MakeTable end )print count =
+}if
+}bind def
+//MakeTableRec 0//MakeTable put
+/StoreSample
+{
+1 sub
+dup 0 eq{
+pop
+}{
+-1 1{
+I exch get get
+}for
+}ifelse
+I 0 get 3 2 roll put
+}bind def
+/ReadSample32
+{
+4{
+File read not{
+mark(Insufficient data for function.)//error exec
+}if
+}repeat
+pop
+3 1 roll exch
+256 mul add 256 mul add
+//1_24_bitshift_1_sub div
+}bind def
+/ReadSample
+{
+Buffer BitsLeft BitsPerSample
+{2 copy ge{
+exit
+}if
+3 1 roll
+8 add 3 1 roll
+256 mul File read not{
+mark(Insufficient data for function.)//error exec
+}if
+add
+3 1 roll
+}loop
+sub dup
+2 index exch
+neg bitshift
+2 copy exch bitshift
+4 3 roll exch sub
+/Buffer exch def
+exch/BitsLeft exch def
+Div div
+}bind def
+/ReadSamplesRec
+{0
+exec
+}bind def
+/ReadSamples
+{
+//PDFR_DEBUG{
+(ReadSamples beg )print count =
+}if
+dup 1 eq{
+pop
+0 1 Size 0 get 1 sub{
+I exch 0 exch put
+0 1 M 1 sub{
+dup Range exch 2 mul 2 getinterval
+//PDFR_DEBUG{
+(Will read a sample ... )print
+}if
+BitsPerSample 32 eq{//ReadSample32}{//ReadSample}ifelse
+exec exch//ScaleVal exec
+//PDFR_DEBUG{
+(value=)print dup =
+}if
+exch Table exch get
+Size length//StoreSample exec
+}for
+}for
+}{
+1 sub
+dup Size exch get 0 exch 1 exch 1 sub{
+I exch 2 index exch put
+dup//ReadSamplesRec exec
+}for
+pop
+}ifelse
+//PDFR_DEBUG{
+(ReadSamples end )print count =
+}if
+}bind def
+//ReadSamplesRec 0//ReadSamples put
+/StreamToArray
+{//PDFR_DEBUG{
+(StreamToArray beg )print count =
+}if
+userdict/FuncDataReader get begin
+dup/BitsPerSample get/BitsPerSample exch def
+dup/Size get length/N exch def
+dup/Range get length 2 idiv/M exch def
+1 BitsPerSample bitshift 1 sub/Div exch def
+/BitsLeft 0 def
+/Buffer 0 def
+dup/Size get/Size exch def
+dup/Range get/Range exch def
+/File 1 index//MakeStreamReader exec def
+/I[N{0}repeat]def
+M array
+dup length 1 sub -1 0{
+2 index N//MakeTable exec
+2 index 3 1 roll put
+}for
+/Table exch def
+N//ReadSamples exec
+PDFR_DEBUG{
+(Table = )print Table ==
+}if
+/Data Table put
+end
+//PDFR_DEBUG{
+(StreamToArray end )print count =
+}if
+}bind def
+/FunctionToProc10
+{
+PDFR_DEBUG{
+(FunctionToProc10 beg, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+PDFR_DEBUG{
+(FunctionToProc10 end)=
+}if
+}bind def
+/FunctionToProc12
+{begin
+currentdict/C0//knownget exec{length 1 eq}{true}ifelse{
+N
+currentdict/C0//knownget exec{
+0 get
+}{
+0
+}ifelse
+currentdict/C1//knownget exec{
+0 get
+}{
+1
+}ifelse
+1 index sub
+[4 1 roll
+{
+4 2 roll
+exp mul add
+}aload pop
+]cvx
+}{
+[
+0 1 C0 length 1 sub{
+N
+C0 2 index get
+C1 3 index get
+4 3 roll pop
+1 index sub
+[/dup load
+5 2 roll
+{
+4 2 roll
+exp mul add
+exch
+}aload pop
+]cvx
+/exec load
+}for
+/pop load
+]cvx
+}ifelse
+end
+//PDFR_DEBUG{
+(FunctionType2Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc14
+{//MakeStreamReader exec cvx exec
+//PDFR_DEBUG{
+(FunctionType4Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc1
+{
+dup/FunctionType get
+{dup 0 eq{
+pop//FunctionToProc10 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc12 exec exit
+}if
+dup 4 eq{
+pop//FunctionToProc14 exec exit
+}if
+mark exch(Function type )exch( isn't implemented yet.)//error exec
+}loop
+}bind def
+/FunctionToProc20
+{
+PDFR_DEBUG{
+(FunctionToProc20, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+}bind def
+/FunctionToProc
+{//PDFR_DEBUG{
+(FunctionToProc beg )print count =
+}if
+dup type/dicttype eq{
+dup/Domain get length 2 idiv
+{
+dup 1 eq{
+pop//FunctionToProc1 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc20 exec exit
+}if
+mark(Functions with many arguments aren't implemented yet.)//error exec
+}loop
+}{
+//PDFR_DEBUG{(Not a function dict, assume already a procedure.)print}if
+}ifelse
+//PDFR_DEBUG{
+(FunctionToProc end )print count =
+}if
+}bind def
+/spotfunctions mark
+/Round{
+abs exch abs 2 copy add 1 le{
+dup mul exch dup mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}
+/Diamond{
+abs exch abs 2 copy add .75 le{
+dup mul exch dup mul add 1 exch sub
+}{
+2 copy add 1.23 le{
+.85 mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}ifelse
+}
+/Ellipse{
+abs exch abs 2 copy 3 mul exch 4 mul add 3 sub dup 0 lt{
+pop dup mul exch .75 div dup mul add 4 div 1 exch sub
+}{
+dup 1 gt{
+pop 1 exch sub dup mul exch 1 exch sub
+.75 div dup mul add 4 div 1 sub
+}{
+.5 exch sub exch pop exch pop
+}ifelse
+}ifelse
+}
+/EllipseA{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseA{dup mul .9 mul exch dup mul add 1 sub}
+/EllipseB{dup 5 mul 8 div mul exch dup mul exch add sqrt 1 exch sub}
+/EllipseC{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseC{dup mul .9 mul exch dup mul add 1 sub}
+/Line{exch pop abs neg}
+/LineX{pop}
+/LineY{exch pop}
+/Square{abs exch abs 2 copy lt{exch}if pop neg}
+/Cross{abs exch abs 2 copy gt{exch}if pop neg}
+/Rhomboid{abs exch abs 0.9 mul add 2 div}
+/DoubleDot{2{360 mul sin 2 div exch}repeat add}
+/InvertedDoubleDot{2{360 mul sin 2 div exch}repeat add neg}
+/SimpleDot{dup mul exch dup mul add 1 exch sub}
+/InvertedSimpleDot{dup mul exch dup mul add 1 sub}
+/CosineDot{180 mul cos exch 180 mul cos add 2 div}
+/Double{exch 2 div exch 2{360 mul sin 2 div exch}repeat add}
+/InvertedDouble{
+exch 2 div exch 2{360 mul sin 2 div exch}repeat add neg
+}
+.dicttomark readonly def
+/CheckColorSpace
+{
+dup type/arraytype ne{
+mark(Resource )3 index( must be an array.)//error exec
+}if
+}bind def
+/SubstitutePDFColorSpaceRec
+{0
+exec
+}bind def
+/SubstitutePDFColorSpace
+{
+{
+dup 0 get/Pattern eq{
+dup length 1 gt{
+dup dup 1//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+1 exch put
+}if
+exit
+}if
+dup 0 get/Indexed eq{
+exit
+}if
+dup 0 get/Separation eq{
+dup dup 2//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+2 exch put
+exit
+}if
+dup 0 get/CalGray eq{
+1 get
+dup/Gamma//knownget exec{
+[exch[exch/exp load]cvx dup dup]
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedA exch]
+exit
+}if
+dup 0 get/CalRGB eq{
+1 get
+dup/Matrix//knownget exec{
+1 index exch/MatrixLMN exch put
+}if
+dup/Gamma//knownget exec{
+aload pop
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+3 array astore
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedABC exch]
+exit
+}if
+dup 0 get/Lab eq{
+1 get
+begin
+currentdict/Range//knownget exec{aload pop}{-100 100 -100 100}ifelse
+0 100 6 2 roll 6 array astore
+/RangeABC exch def
+/DecodeABC[{16 add 116 div}bind{500 div}bind{200 div}bind]def
+/MatrixABC[1 1 1 1 0 0 0 0 -1]def
+{dup 6 29 div ge{dup dup mul mul}{4 29 div sub 108 841 div mul}ifelse}
+/DecodeLMN[
+[3 index aload pop WhitePoint 0 get/mul load]cvx
+[4 index aload pop WhitePoint 1 get/mul load]cvx
+[5 index aload pop WhitePoint 2 get/mul load]cvx
+]def pop
+//PDFR_DEBUG{
+(Constructed from Lab <<)=
+currentdict{exch = ==}forall
+(>>)=
+}if
+[/CIEBasedABC currentdict]
+end
+exit
+pop
+}if
+dup 0 get/CIEBasedA eq{exit}if
+dup 0 get/CIEBasedABC eq{exit}if
+mark exch(Unimplemented color space )exch//error exec
+}loop
+}bind def
+//SubstitutePDFColorSpaceRec 0//SubstitutePDFColorSpace put
+/ResolveArrayElement
+{2 copy get
+dup type dup/arraytype eq exch
+/packedarraytype eq or{
+dup length 1 ge exch xcheck and{
+2 copy get
+dup 0 get type/integertype eq
+1 index 1 get type dup/arraytype
+eq exch
+/packedarraytype eq or
+and{
+exec
+2 index 4 1 roll put
+}{
+pop pop
+}ifelse
+}{
+pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/ResolveColorSpaceArrayRec
+{0
+exec
+}bind def
+/SetColorSpaceSafe
+{
+PDFR_DEBUG{
+(SetColorSpaceSafe beg)=
+}if
+currentcolorspace dup type/arraytype eq{
+1 index type/arraytype eq{
+dup length 2 index length eq{
+false exch
+dup length 0 exch 1 exch 1 sub{
+dup
+4 index exch get exch
+2 index exch get
+ne{
+exch pop true exch exit
+}if
+}for
+pop
+{
+setcolorspace
+}{
+pop
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+PDFR_DEBUG{
+(SetColorSpaceSafe end)=
+}if
+}bind def
+/ResolveColorSpaceArray
+{
+//PDFR_DEBUG{
+(ResolveColorSpaceArray beg )print dup ==
+}if
+dup 0 get/Indexed eq{
+1//ResolveArrayElement exec
+dup dup 1 get
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArrayRec exec
+1 exch put
+}{
+pop pop
+}ifelse
+}if
+dup 0 get/Separation eq{
+dup dup 1 get UnPDFEscape 1 exch put
+3//ResolveArrayElement exec
+dup 3 get//FunctionToProc exec
+2 copy 3 exch put
+pop
+}if
+dup 0 get/Pattern eq{
+dup length 1 gt{dup
+1 get dup type/arraytype eq{
+ResolveColorSpaceArray
+1 index 1 3 -1 roll put
+}{pop}ifelse}if
+}if
+PDFR_DEBUG{
+(Construcrted color space :)=
+dup ==
+}if
+//PDFR_DEBUG{
+(ResolveColorSpaceArray end )print dup ==
+}if
+}bind def
+//ResolveColorSpaceArrayRec 0//ResolveColorSpaceArray put
+/ResolveColorSpace
+{
+//PDFR_DEBUG{
+(ResolveColorSpace beg )print dup =
+}if
+dup//SimpleColorSpaceNames exch known not{
+dup//PDFColorSpaces exch//knownget exec{
+exch pop
+//PDFR_DEBUG{
+(ResolveColorSpace known )=
+}if
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/ColorSpace//DoNothing//ResolveD exec
+exch//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArray exec
+dup//PDFColorSpaces 4 2 roll put
+}if
+}ifelse
+}if
+//PDFR_DEBUG{
+(ResolveColorSpace end )print dup ==
+}if
+}bind def
+/CheckPattern
+{
+dup/PatternType//knownget exec{
+dup 1 ne{
+mark(Resource )4 index( is a shading, which can't be handled at level 2. )//error exec
+}if
+pop
+}if
+dup/Type knownget{
+/Pattern ne{
+mark(Resource )4 index( must have /Type/Pattern .)//error exec
+}if
+}if
+}bind def
+/PaintProc
+{/Context get
+//RunDelayedStream exec
+}bind def
+/ResolvePattern
+{
+dup
+userdict/PDFR_Patterns get
+exch//knownget exec{
+exch pop
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Pattern//DoNothing//ResolveD exec
+exch//CheckPattern//ResolveD exec
+dup dup/Context exch put
+dup/Resources//DoNothing//ResolveD exec pop
+dup/PaintProc//PaintProc put
+gsave userdict/PDFR_InitialGS get setgstate
+currentglobal exch false setglobal
+dup/Matrix get
+makepattern
+exch setglobal
+grestore
+dup userdict/PDFR_Patterns get
+4 2 roll
+put
+}ifelse
+}bind def
+/SetColor
+{//PDFR_DEBUG{
+(SetColor beg)=
+}if
+currentcolorspace dup type/nametype eq{
+pop setcolor
+}{
+0 get/Pattern eq{
+//ResolvePattern exec setpattern
+}{
+setcolor
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(SetColor end)=
+}if
+}bind def
+/ImageKeys 15 dict begin
+/BPC/BitsPerComponent def
+/CS/ColorSpace def
+/D/Decode def
+/DP/DecodeParms def
+/F/Filter def
+/H/Height def
+/IM/ImageMask def
+/I/Interpolate def
+/W/Width def
+currentdict end readonly def
+/ImageValues 15 dict begin
+/G/DeviceGray def
+/RGB/DeviceRGB def
+/CMYK/DeviceCMYK def
+/I/Indexed def
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/GetColorSpaceRange
+{2 index/ColorSpace get
+dup type/arraytype eq{
+1 get
+}if
+exch//knownget exec{
+exch pop
+}if
+}bind def
+/DecodeArrays 15 dict begin
+/DeviceGray{[0 1]}def
+/DeviceRGB{[0 1 0 1 0 1]}def
+/DeviceCMYK{[0 1 0 1 0 1 0 1]}def
+/Indexed{
+dup/BitsPerComponent get 1 exch bitshift 1 sub[exch 0 exch]
+}def
+/Separation{[0 1]}def
+/CIEBasedA{[0 1]/RangeA//GetColorSpaceRange exec}def
+/CIEBasedABC{[0 1 0 1 0 1]/RangeABC//GetColorSpaceRange exec}def
+currentdict end readonly def
+/Substitute
+{1 index//knownget exec{
+exch pop
+}if
+}bind def
+/DebugImagePrinting
+{
+//PDFR_DEBUG{
+(Image :)=
+dup{exch//=only exec( )print ==
+}forall
+}if
+}bind def
+/CompleteImage
+{
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec pop
+}if
+dup/Decode known not{
+dup/ColorSpace//knownget exec{
+dup type/arraytype eq{
+0 get
+}if
+//DecodeArrays exch get exec
+}{
+[0 1]
+}ifelse
+1 index exch/Decode exch put
+}if
+dup/ImageMatrix[2 index/Width get 0 0 5 index/Height get neg
+0 7 index/Height get]put
+//DebugImagePrinting exec
+}bind def
+/CompleteInlineImage
+{
+//PDFR_DEBUG{
+(CompleteInlineImage beg)=
+}if
+dup/ImageType known not{
+dup/ImageType 1 put
+}if
+dup length dict exch{
+exch//ImageKeys//Substitute exec
+dup/Filter eq{
+exch//ImageValues//Substitute exec exch
+}if
+dup/ColorSpace eq{
+exch
+dup//ImageValues exch//knownget exec{
+exch pop
+}{
+//ResolveColorSpace exec
+}ifelse
+exch
+}if
+exch
+2 index 3 1 roll put
+}forall
+//CompleteImage exec
+dup/DataSource 2 copy get
+2 index//AppendFilters exec put
+//PDFR_DEBUG{
+(CompleteInlineImage end)=
+}if
+}bind def
+/CompleteOutlineImage
+{
+currentglobal exch dup gcheck setglobal
+//PDFR_DEBUG{
+(CompleteOutlineImage beg)=
+}if
+dup dup//MakeStreamReader exec/DataSource exch put
+dup/ImageType known not{
+//CompleteImage exec
+dup/ImageType 1 put
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//ResolveColorSpaceArray exec
+//SubstitutePDFColorSpace exec
+1 index exch/ColorSpace exch put
+}{
+pop
+}ifelse
+}if
+}if
+//PDFR_DEBUG{
+(CompleteOutlineImage end)=
+}if
+exch setglobal
+}bind def
+/DoImage
+{
+//PDFR_DEBUG{
+(DoImage beg)=
+}if
+gsave
+dup/ColorSpace//knownget exec{setcolorspace}if
+dup/ImageMask//knownget exec not{false}if
+{imagemask}{image}ifelse
+grestore
+//PDFR_DEBUG{
+(DoImage end)=
+}if
+}bind def
+/GSave
+{
+gsave
+//PDFReader/GraphicStateStackPointer get
+dup//GraphicStateStack exch get null eq{
+dup//GraphicStateStack exch//InitialGraphicState length dict put
+}if
+dup//GraphicStateStack exch get
+//GraphicState exch copy pop
+1 add//PDFReader exch/GraphicStateStackPointer exch put
+}bind def
+/GRestore
+{
+grestore
+//PDFReader/GraphicStateStackPointer get
+1 sub dup
+//PDFReader exch/GraphicStateStackPointer exch put
+//GraphicStateStack exch get
+//GraphicState copy pop
+}bind def
+/SetFont
+{dup//GraphicState exch/FontSize exch put
+//ResolveAndSetFont exec
+//GraphicState/FontMatrixNonHV currentfont/FontMatrix get 1 get 0 ne put
+}bind def
+/ShowText
+{//GraphicState/TextRenderingMode get 0 eq{
+//GraphicState/WordSpacing get 0
+32
+//GraphicState/CharacterSpacing get 0
+6 5 roll
+//GraphicState/FontMatrixNonHV get{
+[
+7 -2 roll pop
+5 -2 roll pop
+5 -1 roll
+{
+exch
+pop
+3 index add
+exch 2 index eq{3 index add}if
+4 1 roll
+}
+currentfont/FontMatrix get 0 get 0 ne{
+1 1 index length 1 sub getinterval cvx
+}if
+5 index
+cshow
+pop pop pop]
+xshow
+}{
+awidthshow
+}ifelse
+}{
+//GraphicState/CharacterSpacing get 0 eq
+//GraphicState/FontMatrixNonHV get not and
+//GraphicState/WordSpacing get 0 eq and{
+true charpath
+}{
+{
+exch
+pop 0
+currentpoint 5 4 roll
+( )dup 0 3 index put true charpath
+5 1 roll
+moveto rmoveto
+//GraphicState/CharacterSpacing get 0 rmoveto
+32 eq{
+//GraphicState/WordSpacing get 0 rmoveto
+}if
+}
+//GraphicState/FontMatrixNonHV get dup not exch{
+pop currentfont/FontMatrix get 0 get 0 ne
+}if{
+1 1 index length 1 sub getinterval cvx
+}if
+exch cshow
+}ifelse
+}ifelse
+}bind def
+/ShowTextBeg
+{//GraphicState/TextRenderingMode get 0 ne{
+currentpoint newpath moveto
+}if
+}bind def
+/ShowTextEnd
+{//GraphicState/TextRenderingMode get
+{dup 1 eq{
+stroke exit
+}if
+dup 2 eq{
+gsave fill grestore stroke exit
+}if
+dup 3 eq{
+currentpoint newpath moveto
+}if
+dup 4 eq{
+gsave fill grestore clip exit
+}if
+dup 5 eq{
+gsave stroke grestore clip exit
+}if
+dup 6 eq{
+gsave fill grestore gsave stroke grestore fill exit
+}if
+dup 7 eq{
+clip exit
+}if
+exit
+}loop
+pop
+}bind def
+/ShowTextWithGlyphPositioning
+{//ShowTextBeg exec
+{dup type/stringtype eq{
+//ShowText exec
+}{
+neg 1000 div//GraphicState/FontSize get mul 0 rmoveto
+}ifelse
+}forall
+//ShowTextEnd exec
+}bind def
+/CheckFont
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/SetTransfer
+{
+//PDFR_DEBUG{(SetTransfer beg )print count =}if
+dup type/arraytype eq 1 index xcheck not and{
+0 4 getinterval aload pop
+setcolortransfer
+}{
+settransfer
+}ifelse
+//PDFR_DEBUG{(SetTransfer end )print count =}if
+}bind def
+/CheckExtGState
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/CheckHalftone
+{dup/HalftoneType known not{
+mark(Resource )3 index( must have /HalftoneType.)//error exec
+}if
+}bind def
+/ResolveFunction
+{
+//PDFR_DEBUG{(ResolveFunction beg )print dup = count =}if
+2 copy get//IsObjRef exec{
+2 copy//DoNothing//ResolveD exec
+3 copy put pop
+}if
+2 copy get dup type/arraytype eq exch xcheck and not{
+2 copy get
+dup type/arraytype eq 1 index xcheck not and{
+dup length 1 sub -1 0{
+2 copy//DoNothing ResolveA
+dup/Identity eq{
+pop 2 copy{}put
+}{
+//FunctionToProc exec
+3 copy put pop
+}ifelse
+pop
+}for
+}{
+dup/Default eq{
+}{
+dup/Identity eq{
+pop{}
+}{dup type/nametype eq{
+//spotfunctions exch get
+}{
+//FunctionToProc exec
+}ifelse
+}ifelse
+}ifelse
+}ifelse
+3 copy put
+exch pop
+}{
+1 index exch get
+}ifelse
+//PDFR_DEBUG{(ResolveFunction end )print dup == count =}if
+}bind def
+/ResolveFunctionSafe
+{2 copy known{
+//ResolveFunction exec
+}if
+pop
+}bind def
+/CreateHalftoneThresholds
+{
+dup/Thresholds known not{
+dup/HalftoneType get 10 eq{
+dup dup//MakeStreamReader exec
+/Thresholds exch put
+}if
+dup/HalftoneType get dup 3 eq exch 6 eq or{
+dup dup//MakeStreamReader exec
+//BlockBuffer readstring pop
+dup length
+dup 0 eq{
+mark(Could not read Thresholds)//error exec
+}if
+string copy/Thresholds exch put
+dup/HalftoneType 3 put
+}if
+}if
+}bind def
+/SetExtGState
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/ExtGState//DoNothing//ResolveD exec
+exch//CheckExtGState//ResolveD exec
+dup/LW//knownget exec{
+setlinewidth
+}if
+dup/LC//knownget exec{
+setlinecap
+}if
+dup/LJ//knownget exec{
+setlinejoin
+}if
+dup/ML//knownget exec{
+setmeterlimit
+}if
+dup/D//knownget exec{
+setdash
+}if
+dup/RI//knownget exec{
+mark(Unimplemented ExtGState.RI)//error exec
+}if
+dup/OP//knownget exec{
+setoverprint
+}if
+dup/op//knownget exec{
+setoverprint
+}if
+dup/OPM//knownget exec{
+mark(Unimplemented ExtGState.OPM)//error exec
+}if
+dup/Font//knownget exec{
+mark(Unimplemented ExtGState.Font)//error exec
+}if
+dup/BG known{
+/BG//ResolveFunction exec
+setblackgeneration
+}if
+dup/BG2 known{
+/BG2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/BG2 get
+}if
+setblackgeneration
+}if
+dup/UCR known{
+/UCR//ResolveFunction exec
+setundercolorremoval
+}if
+dup/UCR2 known{
+/UCR2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/UCR2 get
+}if
+setundercolorremoval
+}if
+dup/TR known{
+/TR//ResolveFunction exec
+//SetTransfer exec
+}if
+dup/TR2 known{
+/TR2//ResolveFunction exec
+dup/Default eq{
+pop//InitialExtGState/TR2 get
+aload pop setcolortransfer
+}{
+//SetTransfer exec
+}ifelse
+}if
+dup/HT//knownget exec{
+dup/Default eq{
+pop//InitialExtGState/HT get
+sethalftone
+}{
+//PDFR_DEBUG{(Ht beg)=}if
+pop dup/HT//CheckHalftone//ResolveD exec
+/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+null exch
+dup/HalftoneType get dup 5 eq exch dup 4 eq exch 2 eq or or{
+dup{
+dup//IsObjRef exec{
+pop
+1 index exch//CheckHalftone ResolveD
+}if
+dup type/dicttype eq{
+dup/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+//CreateHalftoneThresholds exec
+dup/HalftoneType get 5 gt{
+4 3 roll pop
+dup 4 1 roll
+}if
+}if
+pop pop
+}forall
+}if
+//CreateHalftoneThresholds exec
+//PDFR_DEBUG{
+(HT:)=
+dup{
+1 index/Default eq{
+(Default <<)=
+exch pop
+{exch = ==}forall
+(>>)=
+}{
+exch = ==
+}ifelse
+}forall
+(HT end)= flush
+}if
+exch dup null ne{
+(Warning: Ignoring a halftone with a Level 3 component halftone Type )print dup/HalftoneType get =
+pop pop
+}{
+pop
+dup/HalftoneType get 5 gt{
+(Warning: Ignoring a Level 3 halftone Type )print dup/HalftoneType get =
+pop
+}{
+sethalftone
+}ifelse
+}ifelse
+//PDFR_DEBUG{(HT set)= flush}if
+}ifelse
+}if
+dup/FL//knownget exec{
+setflattness
+}if
+dup/SM//knownget exec{
+setsmoothness
+}if
+dup/SA//knownget exec{
+setstrokeadjust
+}if
+dup/BM//knownget exec{
+mark(Unimplemented ExtGState.BM)//error exec
+}if
+dup/SMask//knownget exec{
+mark(Unimplemented ExtGState.SMask)//error exec
+}if
+dup/CA//knownget exec{
+mark(Unimplemented ExtGState.CA)//error exec
+}if
+dup/ca//knownget exec{
+mark(Unimplemented ExtGState.ca)//error exec
+}if
+dup/AIS//knownget exec{
+mark(Unimplemented ExtGState.AIS)//error exec
+}if
+dup/TK//knownget exec{
+mark(Unimplemented ExtGState.TK)//error exec
+}if
+pop
+}bind def
+/CheckXObject
+{dup/Subtype get dup/Image ne exch dup/Form ne exch/PS ne and and{
+mark(Resource )3 index( must have /Subtype /Image or /Form or /PS.)//error exec
+}if
+}bind def
+/DoXObject
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/XObject//DoNothing//ResolveD exec
+exch//CheckXObject//ResolveD exec
+dup/Subtype get
+dup/Image eq{
+pop
+//CompleteOutlineImage exec
+//DoImage exec
+}{
+dup/PS eq{
+PDFR_DEBUG{
+(Executing a PS Xobject)=
+}if
+pop
+//RunDelayedStream exec
+}{
+dup/Form eq{
+pop
+PDFR_DEBUG{
+(Executing a Form XObject)=
+}if
+//PDFReader/CurrentObject get exch
+dup//PDFReader exch<< exch/Context exch >>/CurrentObject exch put
+dup/Matrix get concat
+dup/BBox get aload pop exch 3 index sub exch 2 index sub rectclip
+//RunDelayedStream exec
+//PDFReader exch/CurrentObject exch put
+}{
+mark exch(unimplemented XObject type )exch//error exec
+}ifelse
+}ifelse
+}ifelse
+}bind def
+/Operators 50 dict begin
+/q{//GSave exec}bind def
+/Q{//GRestore exec}bind def
+/cm{//TempMatrix astore concat}bind def
+/i{1 .min setflat}bind def
+/J/setlinecap load def
+/d/setdash load def
+/j/setlinejoin load def
+/w/setlinewidth load def
+/M/setmiterlimit load def
+/gs{SetExtGState}bind def
+/g/setgray load def
+/rg/setrgbcolor load def
+/k/setcmykcolor load def
+/cs{//ResolveColorSpace exec//SetColorSpaceSafe exec
+}bind def
+/sc/setcolor load def
+/scn{//SetColor exec}bind def
+/G/setgray load def
+/RG/setrgbcolor load def
+/K/setcmykcolor load def
+/CS//cs def
+/ri{SetColorRenderingIntent}bind def
+/SC/setcolor load def
+/SCN{//SetColor exec}bind def
+/m/moveto load def
+/l/lineto load def
+/c/curveto load def
+/v{currentpoint 6 2 roll curveto}bind def
+/y{2 copy curveto}bind def
+/re{
+4 2 roll moveto exch dup 0 rlineto 0 3 -1 roll rlineto neg 0 rlineto
+closepath
+}def
+/h/closepath load def
+/n/newpath load def
+/S/stroke load def
+/s{closepath stroke}bind def
+/f/fill load def
+/f*/eofill load def
+/B{gsave fill grestore stroke}bind def
+/b{closepath gsave fill grestore stroke}bind def
+/B*{gsave eofill grestore stroke}bind def
+/b*{closepath gsave eofill grestore stroke}bind def
+/W/clip load def
+/W*/eoclip load def
+/sh{
+ResolveShading
+dup/Background known{
+gsave
+dup/ColorSpace get setcolorspace
+dup/Background get aload pop setcolor
+pathbbox
+2 index sub exch 3 index sub exch
+rectfill
+grestore
+}if
+shfill
+}bind def
+/Do{//DoXObject exec}bind def
+/BI{currentglobal false setglobal<<}bind def
+/ID{>>
+dup/DataSource currentfile
+2 index/F//knownget exec{
+/A85 eq{
+0(~>)/SubFileDecode filter
+}if
+}if
+put
+//CompleteInlineImage exec
+exch setglobal
+//DoImage exec
+}bind def
+/EI{}bind def
+/BT{gsave//GraphicState/InitialTextMatrix get currentmatrix pop}bind def
+/ET{grestore}bind def
+/Tc{//GraphicState exch/CharacterSpacing exch put}bind def
+/TL{//GraphicState exch/TextLeading exch put}bind def
+/Tr{//GraphicState exch/TextRenderingMode exch put}bind def
+/Ts{
+mark(Unimplemented SetTextRise)//error exec
+}bind def
+/Tw{//GraphicState exch/WordSpacing exch put}bind def
+/Tz{
+mark(Unimplemented SetHorizontalTextScaling)//error exec
+}bind def
+/Td{translate 0 0 moveto}bind def
+/TD{dup neg//TL exec//Td exec}bind def
+/Tm{//GraphicState/InitialTextMatrix get setmatrix
+//TempMatrix astore concat
+0 0 moveto}bind def
+/T*{0//GraphicState/TextLeading get neg//Td exec}bind def
+/Tj{//ShowTextBeg exec//ShowText exec//ShowTextEnd exec}bind def
+/'{//T* exec//ShowText exec//ShowTextEnd exec}bind def
+/"{3 2 roll//Tw exec exch//Tc exec//' exec}bind def
+/TJ//ShowTextWithGlyphPositioning def
+/Tf//SetFont def
+/d0/setcharwidth load def
+/d1/setcachedevice load def
+/BDC{pop pop}bind def
+/BMC{pop}bind def
+/EMC{}bind def
+/BX{BeginCompatibilitySection}bind def
+/EX{EndCompatibilitySection}bind def
+/DP{DefineMarkedContentPointWithPropertyList}bind def
+/MP{DefineMarkedContentPoint}bind def
+/PS{cvx exec}bind def
+currentdict end def
+//PDFR_STREAM{
+//Operators length dict begin
+//Operators{
+exch dup
+[exch//=only/exec load
+( )/print load
+8 7 roll
+dup type/arraytype eq{
+/exec load
+}if
+( )/print load
+]cvx
+def
+}forall
+currentdict end/Operators exch def
+}if
+/.registerencoding
+{pop pop
+}bind def
+/.defineencoding
+{def
+}bind def
+/.findencoding
+{load
+}bind def
+/currentglobal where
+{pop currentglobal{setglobal}true setglobal}
+{{}}
+ifelse
+/MacRomanEncoding
+StandardEncoding 0 39 getinterval aload pop
+/quotesingle
+StandardEncoding 40 56 getinterval aload pop
+/grave
+StandardEncoding 97 31 getinterval aload pop
+/Adieresis/Aring/Ccedilla/Eacute/Ntilde/Odieresis/Udieresis/aacute
+/agrave/acircumflex/adieresis/atilde/aring/ccedilla/eacute/egrave
+/ecircumflex/edieresis/iacute/igrave
+/icircumflex/idieresis/ntilde/oacute
+/ograve/ocircumflex/odieresis/otilde
+/uacute/ugrave/ucircumflex/udieresis
+/dagger/degree/cent/sterling/section/bullet/paragraph/germandbls
+/registered/copyright/trademark/acute/dieresis/.notdef/AE/Oslash
+/.notdef/plusminus/.notdef/.notdef/yen/mu/.notdef/.notdef
+/.notdef/.notdef/.notdef/ordfeminine/ordmasculine/.notdef/ae/oslash
+/questiondown/exclamdown/logicalnot/.notdef
+/florin/.notdef/.notdef/guillemotleft
+/guillemotright/ellipsis/space/Agrave/Atilde/Otilde/OE/oe
+/endash/emdash/quotedblleft/quotedblright
+/quoteleft/quoteright/divide/.notdef
+/ydieresis/Ydieresis/fraction/currency
+/guilsinglleft/guilsinglright/fi/fl
+/daggerdbl/periodcentered/quotesinglbase/quotedblbase
+/perthousand/Acircumflex/Ecircumflex/Aacute
+/Edieresis/Egrave/Iacute/Icircumflex
+/Idieresis/Igrave/Oacute/Ocircumflex
+/.notdef/Ograve/Uacute/Ucircumflex
+/Ugrave/dotlessi/circumflex/tilde
+/macron/breve/dotaccent/ring/cedilla/hungarumlaut/ogonek/caron
+256 packedarray
+5 1 index .registerencoding
+.defineencoding
+exec
+/AdobeGlyphList mark
+/A 16#0041
+/AE 16#00c6
+/AEacute 16#01fc
+/AEmacron 16#01e2
+/AEsmall 16#f7e6
+/Aacute 16#00c1
+/Aacutesmall 16#f7e1
+/Abreve 16#0102
+/Abreveacute 16#1eae
+/Abrevecyrillic 16#04d0
+/Abrevedotbelow 16#1eb6
+/Abrevegrave 16#1eb0
+/Abrevehookabove 16#1eb2
+/Abrevetilde 16#1eb4
+/Acaron 16#01cd
+/Acircle 16#24b6
+/Acircumflex 16#00c2
+/Acircumflexacute 16#1ea4
+/Acircumflexdotbelow 16#1eac
+/Acircumflexgrave 16#1ea6
+/Acircumflexhookabove 16#1ea8
+/Acircumflexsmall 16#f7e2
+/Acircumflextilde 16#1eaa
+/Acute 16#f6c9
+/Acutesmall 16#f7b4
+/Acyrillic 16#0410
+/Adblgrave 16#0200
+/Adieresis 16#00c4
+/Adieresiscyrillic 16#04d2
+/Adieresismacron 16#01de
+/Adieresissmall 16#f7e4
+/Adotbelow 16#1ea0
+/Adotmacron 16#01e0
+/Agrave 16#00c0
+/Agravesmall 16#f7e0
+/Ahookabove 16#1ea2
+/Aiecyrillic 16#04d4
+/Ainvertedbreve 16#0202
+/Alpha 16#0391
+/Alphatonos 16#0386
+/Amacron 16#0100
+/Amonospace 16#ff21
+/Aogonek 16#0104
+/Aring 16#00c5
+/Aringacute 16#01fa
+/Aringbelow 16#1e00
+/Aringsmall 16#f7e5
+/Asmall 16#f761
+/Atilde 16#00c3
+/Atildesmall 16#f7e3
+/Aybarmenian 16#0531
+/B 16#0042
+/Bcircle 16#24b7
+/Bdotaccent 16#1e02
+/Bdotbelow 16#1e04
+/Becyrillic 16#0411
+/Benarmenian 16#0532
+/Beta 16#0392
+/Bhook 16#0181
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diff --git a/figures/Schmidt2017/Fig5_cc_laminar_pattern.py b/figures/Schmidt2017/Fig5_cc_laminar_pattern.py
new file mode 100644
index 0000000000000000000000000000000000000000..40f1ad17bdba806bde910a8f1d38bc944e4fca6d
--- /dev/null
+++ b/figures/Schmidt2017/Fig5_cc_laminar_pattern.py
@@ -0,0 +1,306 @@
+import matplotlib.pyplot as pl
+import numpy as np
+import json
+import pyx
+import subprocess
+import sys
+import os
+
+from helpers import area_list, population_labels, layer_labels
+from helpers import datapath, raw_datapath
+from scipy import integrate
+from matplotlib import rc_file, gridspec
+from plotcolors import myred, myblue
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import create_mask
+
+"""
+Layout
+"""
+sys.path.append('/home/schmidt/model-june/data_multi_area/')
+rc_file('plotstyle.rc')
+
+nrows = 2.2
+ncols = 2
+width = 6.8504
+panel_wh_ratio = 0.7 * (1. + np.sqrt(5)) / 2.  # golden ratio
+
+height = width / panel_wh_ratio * float(nrows) / ncols
+
+print(width, height)
+pl.rcParams['figure.figsize'] = (width, height)
+
+
+axes = {}
+gs1 = gridspec.GridSpec(1, 1)
+gs1.update(left=0.1, right=0.47, top=0.95, bottom=0.75, wspace=0.1, hspace=0.3)
+axes['A'] = pl.subplot(gs1[:1, :1])
+
+gs2 = gridspec.GridSpec(3, 1)
+gs2.update(left=0.1, right=0.47, top=0.65, bottom=0.1, wspace=0.1, hspace=0.8)
+axes['B'] = pl.subplot(gs2[:1, :1])
+axes['B2'] = pl.subplot(gs2[1:2, :1])
+axes['B3'] = pl.subplot(gs2[2:3, :1])
+
+
+gs3 = gridspec.GridSpec(3, 1)
+gs3.update(left=0.6, right=0.95, top=0.65, bottom=0.1, wspace=0.1, hspace=0.8)
+axes['D'] = pl.subplot(gs3[:1, :1])
+axes['D2'] = pl.subplot(gs3[1:2, :1])
+axes['D3'] = pl.subplot(gs3[2:3, :1])
+
+axes['D'].set_xticks([])
+axes['D'].set_yticks([])
+
+axes['D2'].set_xticks([])
+axes['D2'].set_yticks([])
+
+gs4 = gridspec.GridSpec(1, 1)
+gs4.update(left=0.6, right=0.95, top=0.95, bottom=0.75, wspace=0.1, hspace=0.3)
+
+axes['C'] = pl.subplot(gs4[:1, :1], frameon=False)
+axes['C'].set_yticks([])
+axes['C'].set_xticks([])
+
+for label in ['A', 'B', 'B2', 'B3']:
+    axes[label].spines['right'].set_color('none')
+    axes[label].spines['top'].set_color('none')
+    axes[label].yaxis.set_ticks_position("left")
+    axes[label].xaxis.set_ticks_position("bottom")
+
+labels = ['A', 'B', 'C', 'D']
+for label in labels:
+    if label in ['A', 'C', 'D']:
+        label_pos = [-0.2, 1.04]
+    else:
+        label_pos = [-0.2, 1.1]
+    pl.text(label_pos[0], label_pos[1], r'\bfseries{}' + label,
+            fontdict={'fontsize': 10, 'weight': 'bold',
+                      'horizontalalignment': 'left', 'verticalalignment':
+                      'bottom'}, transform=axes[label].transAxes)
+
+
+data = np.loadtxt(os.path.join(raw_datapath, 'RData_prepared_logdensities.txt'),
+                  skiprows=3, dtype='S10')
+target = np.array(data[:, 1], dtype=str)
+source = np.array(data[:, 2], dtype=str)
+
+x = np.array(data[:, 7], dtype=np.float)
+TOT = np.array(data[:, 5], dtype=np.float)
+
+S = np.array(data[:, 3], dtype=np.float)
+I = TOT - S
+
+with open(os.path.join(datapath, 'viscortex_processed_data.json'), 'r') as f:
+    proc = json.load(f)
+with open(os.path.join(datapath, 'viscortex_raw_data.json'), 'r') as f:
+    raw = json.load(f)
+
+thom_distance_data = raw['thom_distance_data']
+thom_distance_data_markov = raw['thom_distance_data_markov']
+hierarchy_markov = raw['hierarchy_markov']
+overlap = raw['overlap']
+
+neuron_densities = proc['neuronal_densities']
+SLN_Data = proc['SLN_completed']
+SLN_Data_FV91 = proc['SLN_Data_FV91']
+cocomac = proc['cocomac_completed']
+
+for area in hierarchy_markov:
+    if area not in neuron_densities and area != 'PERIRHINAL':
+        print(area)
+        x = 0.
+        y = 0.
+        area_key = area
+        if area == 'TH/TF':
+            area_key = 'TH_TF'
+        if area == '8L':
+            area_key = '8l'
+        for FV91 in overlap['visual'][area_key + '_M132']:
+            if 'FVE' in FV91:
+                x += overlap['visual'][area_key + '_M132'][FV91] / 100. * \
+                    neuron_densities[str(FV91).split('.')[-1]]['overall']
+                y += overlap['visual'][area_key + '_M132'][FV91] / 100.
+        neuron_densities[area] = {'overall': x / y}
+
+
+def integrand(x, mu, sigma):
+    return 1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(x - mu) ** 2 / (2. * sigma ** 2))
+
+
+def probit(x,):
+    if isinstance(x, np.ndarray):
+        res = [integrate.quad(integrand, -1000., ii,
+                              args=(0., 1.))[0] for ii in x]
+    else:
+        res = integrate.quad(integrand, -1000., x, args=(0., 1.))[0]
+    return res
+
+
+def chi2(x, y, z, n):
+    return 1. / (n) * np.sum(((x - y) / z) ** 2)
+
+
+"""
+Fit of SLN vs. architectural type differences
+"""
+SLN_array = np.array(data[:, 10], dtype=np.float)
+densities = np.array(data[:, 7], dtype=np.float)
+
+proc = subprocess.Popen(
+    ["Rscript", os.path.join(datapath, 'SLN_logdensities.R')],
+    stdout=subprocess.PIPE)
+out = proc.communicate()[0].decode('utf-8')
+R_fit = [float(out.split('\n')[1].split(' ')[1]),
+         float(out.split('\n')[1].split(' ')[3])]
+
+print(R_fit)
+ax = axes['A']
+ax.plot(densities, SLN_array, '.', linewidth=1.5, color=myblue)
+x = np.arange(-2., 2., 0.1)
+ax.plot(x, np.array(
+    probit((R_fit[1] * x + R_fit[0]))), '-', linewidth=1.5, color='k')
+ax.set_ylim(-0.1, 1.1)
+ax.set_ylabel(r'$SLN$')
+ax.set_xlabel(r'Log ratio of densities')
+ax.xaxis.set_label_coords(0.5, -0.16)
+ax.set_xticks([-2., -1., 0., 1., 2.])
+ax.set_yticks([0., 0.2, 0.4, 0.6, 0.8, 1.])
+goodness_bb = round(chi2(SLN_array, probit(
+    R_fit[1] * densities + R_fit[0]), np.ones(SLN_array.size), SLN_array.size - 2), 4)
+corr_bb = round(np.corrcoef(
+    np.array(probit(R_fit[1] * densities + R_fit[0])), SLN_array)[0][1] ** 2, 2)
+print("SLN Fit: R={}, Chi2={}".format(corr_bb, goodness_bb))
+
+
+# Target - source relationship
+
+target_low_SLN_unweighted = np.zeros(6)
+target_medium_SLN_unweighted = np.zeros(6)
+target_high_SLN_unweighted = np.zeros(6)
+
+for target in SLN_Data_FV91:
+    for source in SLN_Data_FV91[target]:
+        if cocomac[target][source]['target_pattern']:
+            if SLN_Data_FV91[target][source] < 0.35:
+                for layer in range(6):
+                    target_low_SLN_unweighted[layer] += int(int(cocomac[target][
+                        source]['target_pattern'][layer]) > 0)
+            if 0.35 <= SLN_Data_FV91[target][source] <= 0.65:
+                for layer in range(6):
+                    target_medium_SLN_unweighted[layer] += int(int(cocomac[target][
+                        source]['target_pattern'][layer]) > 0)
+            if SLN_Data_FV91[target][source] > 0.65:
+                for layer in range(6):
+                    target_high_SLN_unweighted[layer] += int(int(cocomac[target][
+                        source]['target_pattern'][layer]) > 0)
+
+
+SLN_labels = [r' $\mathbf{SLN < 0.35}$',
+              r'$\mathbf{0.35\leq SLN \leq 0.65}$',
+              r'$\mathbf{SLN > 0.65}$']
+
+data_list = [target_low_SLN_unweighted,
+             target_medium_SLN_unweighted,
+             target_high_SLN_unweighted]
+
+for axlabel, label, data in zip(['B', 'B2', 'B3'], SLN_labels, data_list):
+    ax = axes[axlabel]
+    ax.yaxis.set_ticks_position("none")
+    ax.barh(list(6 - np.arange(6)), list(data), edgecolor='none', color=myblue)
+    ax.text(0.1, 1.1, label, transform=ax.transAxes)
+    ax.set_yticks(6.4 - np.arange(6))
+    ax.set_yticklabels(layer_labels)
+
+    ax.set_xlabel('Count', size=10)
+    if axlabel == 'B2':
+        ax.set_ylabel('Target layer', size=10)
+        ax.yaxis.set_label_coords(-0.15, 0.5)
+
+
+# Resulting patterns in the connectivity matrix
+M = MultiAreaModel({})
+
+FF_conns = []
+FB_conns = []
+lateral_conns = []
+
+for ii, target_area in enumerate(area_list):
+    for jj, source_area in enumerate(area_list):
+        mask = create_mask(M.structure,
+                           target_areas=[target_area],
+                           source_areas=[source_area],
+                           external=False)
+        if (np.sum(M.K_matrix[mask]) > 0 and source_area != target_area
+                and source_area in SLN_Data[target_area]):
+            m = M.K_matrix[mask] / np.sum(M.K_matrix[mask])
+            if m.size == 64:
+                m = m.reshape((8, 8))
+            elif m.size == 48:
+                if target_area == 'TH':
+                    m = m.reshape((6, 8))
+                    m = np.insert(m, 2, np.zeros((2, 8), dtype=float), axis=0)
+                elif source_area == 'TH':
+                    m = m.reshape((8, 6))
+                    m = np.insert(m, 2, np.zeros((2, 8), dtype=float), axis=1)
+            if SLN_Data[target_area][source_area] < 0.35:
+                FB_conns.append(m)
+            elif SLN_Data[target_area][source_area] > 0.65:
+                FF_conns.append(m)
+            else:
+                lateral_conns.append(m)
+
+FF_conns = np.array(FF_conns)
+FB_conns = np.array(FB_conns)
+lateral_conns = np.array(lateral_conns)
+
+data_list = [FB_conns, lateral_conns, FF_conns]
+label_list = ['Feedback', 'lateral', 'Feedforward']
+
+for axlabel, label, data in zip(['D', 'D2', 'D3'], label_list, data_list):
+    ax = axes[axlabel]
+    ax.yaxis.set_ticks_position("none")
+    ax.xaxis.set_ticks_position("none")
+    ax.spines['right'].set_color('none')
+    ax.spines['top'].set_color('none')
+
+    if axlabel == 'D3':
+        ax.set_xticks([0.025, 0.625, 1.225])
+        ax.set_xlim((0., 1.8))
+        factor = 0.6
+    else:
+        ax.set_xticks([0.025, 0.225, 0.425])
+        ax.set_xlim((0., 0.6))
+        factor = 0.2
+
+    matrix = np.mean(data, axis=0)
+    ind = [0, 4, 6]
+    for ii in range(3):
+        ax.barh(np.arange(8), matrix[:, ind][:, ii][
+                ::-1], left=ii * factor, color=myred, edgecolor='none')
+
+    ax.text(0.1, 1.1, label, transform=ax.transAxes)
+    ax.set_yticks(np.arange(8) + 0.3)
+    ax.set_yticklabels(population_labels[::-1], size=8.)
+
+    if axlabel == 'D2':
+        ax.set_ylabel('Target population', size=10)
+    if axlabel == 'D3':
+        ax.set_xlabel('Source population', size=10)
+
+    ax.set_xticklabels(['2/3E', '5E', '6E'], size=8.)
+
+pl.savefig('Fig5_cc_laminar_pattern_mpl.eps')
+
+"""
+Merge with syn_illustration figure
+"""
+pyx.text.set(cls=pyx.text.LatexRunner)
+pyx.text.preamble(r"\usepackage{helvet}")
+
+c = pyx.canvas.canvas()
+c.insert(pyx.epsfile.epsfile(
+    0., 0., "Fig5_cc_laminar_pattern_mpl.eps", width=17.3))
+c.insert(pyx.epsfile.epsfile(
+    9.3, 12., "Fig5_syn_illustration.eps", width=7.))
+c.writeEPSfile("Fig5_cc_laminar_pattern.eps")
diff --git a/figures/Schmidt2017/Fig5_syn_illustration.eps b/figures/Schmidt2017/Fig5_syn_illustration.eps
new file mode 100644
index 0000000000000000000000000000000000000000..cb54f491e62b8a3162606e252361e67fd7fefbe2
--- /dev/null
+++ b/figures/Schmidt2017/Fig5_syn_illustration.eps
@@ -0,0 +1,19816 @@
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+/newerror false store vmstatus pop pop 0 ne
+{grestoreall
+}if
+errorname(VMerror)ne
+{showpage
+}if
+initgraphics
+0 720 moveto
+errorname(VMerror)eq
+{//this/ehsave known
+{clear//this/ehsave get restore 2 vmreclaim
+}if
+vmstatus exch pop exch pop
+}
+/Courier 12 selectfont
+{
+(ERROR: )//prnt exec errorname//prnt exec
+(OFFENDING COMMAND: )//prnt exec
+/command load//prnt exec
+$error/ostack known{
+(%%[STACK:)=
+(STACK:)//prnt exec
+$error/ostack get aload length{
+//newline exec
+dup mark eq{
+(-mark-)dup = show
+}{
+dup type/nametype eq{
+dup xcheck not{
+(/)show
+(/)print
+}if
+}if
+dup =//ebuf cvs show
+}ifelse
+}repeat
+}if
+}ifelse
+(%%]%)=
+//systemdict/showpage get exec
+quit
+}if
+end
+end
+}bind readonly put
+end
+50 dict begin
+/DefaultSwitch
+{
+dup where{
+pop pop
+}{
+false def
+}ifelse
+}bind def
+/=string 256 string def
+/=only{
+//=string cvs print
+}bind def
+/HexDigits(0123456789ABCDEF)readonly def
+/PrintHex
+{8{
+dup -28 bitshift 15 and//HexDigits exch 1 getinterval//=only exec
+4 bitshift
+}repeat
+pop
+}bind def
+/PDFR_DEBUG DefaultSwitch
+/PDFR_DUMP DefaultSwitch
+/PDFR_STREAM DefaultSwitch
+/TTFDEBUG DefaultSwitch
+/RotatePages DefaultSwitch
+/FitPages DefaultSwitch
+/CenterPages DefaultSwitch
+/SetPageSize DefaultSwitch
+/error
+{
+counttomark 1 sub -1 0{
+index dup type/arraytype eq{==}{=only}ifelse
+}for
+()=
+cleartomark
+....Undefined
+}bind def
+//SetPageSize{
+//RotatePages//FitPages or//CenterPages or{
+mark(/RotatePages, /FitPages and CenterPages are not allowed with /SetPageSize)//error exec
+}if
+}
+{
+//FitPages//CenterPages and{
+mark(CenterPages is not allowed with /FitPages)//error exec
+}if
+}
+ifelse
+/knownget
+{
+2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/IsUpper
+{dup(A)0 get ge exch(Z)0 get le and
+}bind def
+/cpa2g{
+dup length array
+0 1 2 index length 1 sub{
+dup 3 index exch get cp2g
+3 copy put pop pop
+}for
+exch pop
+}bind def
+/cpd2g{
+dup length dict exch{
+cp2g 2 index 3 1 roll put
+}forall
+}bind def
+/cps2g{
+dup length string copy
+}bind def
+/cp2gprocs
+<</arraytype//cpa2g/dicttype//cpd2g/packedarraytype//cpa2g/stringtype//cps2g >>
+def
+/cp2g{
+dup gcheck not{
+dup//cp2gprocs 1 index type
+2 copy known{
+get currentglobal 3 1 roll true setglobal exec exch setglobal
+1 index wcheck not{readonly}if
+1 index xcheck{cvx}if
+exch pop
+}{
+pop pop
+}ifelse
+}if
+}bind def
+/BlockBuffer 65535 string def
+/PDFReader currentdict def
+/ObjectRegistryMaxLength 50000 def
+/ObjectRegistry 10 dict def
+ObjectRegistry
+begin 0 ObjectRegistryMaxLength dict def end
+/CurrentObject null def
+/DoneDocumentStructure false def
+/GraphicState 20 dict begin
+/InitialTextMatrix matrix def
+/InitialMatrix matrix currentmatrix def
+currentdict end def
+/TempMatrix matrix def
+/GraphicStateStack 20 array def
+/GraphicStateStackPointer 0 def
+/InitialTextMatrixStack 20 array def
+/InitialTextMatrixStackPointer 0 def
+/PDFColorSpaces 50 dict def
+/InstalledFonts 50 dict def
+/MacRomanEncodingInverse null def
+currentglobal false setglobal
+userdict/PDFR_InitialGS gstate put
+userdict/PDFR_Patterns 50 dict put
+userdict/FuncDataReader 10 dict put
+setglobal
+/InitialExtGState 20 dict begin
+/BG2 currentblackgeneration cp2g def
+/UCR2 currentundercolorremoval cp2g def
+/TR2 currentglobal false setglobal[currentcolortransfer]exch setglobal cp2g def
+/HT currenthalftone cp2g def
+currentdict end readonly def
+/InitialGraphicState 20 dict begin
+/FontSize 0 def
+/CharacterSpacing 0 def
+/TextLeading 0 def
+/TextRenderingMode 0 def
+/WordSpacing 0 def
+currentdict end readonly def
+/SimpleColorSpaceNames 15 dict begin
+/DeviceGray true def
+/DeviceRGB true def
+/DeviceCMYK true def
+currentdict end readonly def
+/1_24_bitshift_1_sub 1 24 bitshift 1 sub def
+/ReadFontProcs 10 dict def
+/GetObject{
+dup ObjectRegistryMaxLength idiv
+//PDFReader /ObjectRegistry get exch knownget
+{exch knownget}{pop false}ifelse
+}bind def
+/PutObject
+{1 index ObjectRegistryMaxLength idiv
+//PDFReader /ObjectRegistry get 1 index knownget{
+exch pop 3 1 roll put}{
+//PDFReader /ObjectRegistry get dup begin
+1 index ObjectRegistryMaxLength dict def
+end exch get 3 1 roll put
+}ifelse
+}bind def
+/Register
+{1 index GetObject{
+dup xcheck{
+4 3 roll pop
+//PDFR_DEBUG{
+(Have a daemon for ) print 2 index ==
+}if
+exec
+}{
+dup null ne{
+mark (The object ) 4 index (is already defined : ) 4 index //error exec
+}{
+pop
+}ifelse
+3 2 roll
+exec
+}ifelse
+}{
+3 2 roll
+exec
+}ifelse
+PutObject
+} bind def
+/IsRegistered{
+GetObject{
+null ne
+}{
+false
+}ifelse
+}bind def
+/GetRegistered{
+dup GetObject not{
+exch mark exch (Object ) exch ( isn't defined before needed (1).) //error exec
+}if
+dup xcheck{
+exch mark exch (Object ) exch ( isn't defined before needed (2).) //error exec
+}{
+dup null eq{
+exch mark exch (Object ) exch ( isn't defined before needed (3).) //error exec
+}if
+exch pop
+}ifelse
+}bind def
+/StandardFontNames<<
+/Times-Roman true
+/Helvetica true
+/Courier true
+/Symbol true
+/Times-Bold true
+/Helvetica-Bold true
+/Courier-Bold true
+/ZapfDingbats true
+/Times-Italic true
+/Helvetica-Oblique true
+/Courier-Oblique true
+/Times-BoldItalic true
+/Helvetica-BoldOblique true
+/Courier-BoldOblique true
+>>def
+/CleanAllResources
+{//PDFR_DEBUG{
+(CleanAllResources beg)=
+}if
+//PDFReader/ObjectRegistry get{
+dup length 0 exch 1 exch 1 sub{
+2 copy get dup xcheck{
+pop pop
+}{
+dup null eq{
+pop pop
+}{
+dup type/dicttype eq{/.Global known}{pop false}ifelse{
+pop
+}{
+//PDFR_DEBUG{
+(Dropping )print dup =
+}if
+1 index exch/DroppedObject put
+}ifelse
+}ifelse
+}ifelse
+}for
+pop
+}forall
+FontDirectory length dict begin
+FontDirectory{
+pop
+dup//StandardFontNames exch known not{
+dup null def
+}if
+pop
+}forall
+currentdict
+end{
+pop
+//PDFR_DEBUG{
+(Undefining font )print dup =
+}if
+undefinefont
+}forall
+//PDFR_DEBUG{
+(CleanAllResources end)=
+}if
+}bind def
+/PrintReference
+{
+//PDFR_DEBUG{
+({ )print
+dup{
+=only( )print
+}forall
+( })=
+}if
+}bind def
+/R
+{
+0 ne{
+exch mark exch(A referred object generation )exch( isn't 0.)//error exec
+}if
+[
+exch//GetRegistered/exec load
+]cvx
+//PrintReference exec
+}bind def
+/IsObjRef
+{
+dup type/arraytype eq{
+dup length 3 eq{
+dup xcheck exch
+dup 0 get type/integertype eq 3 2 roll and exch
+dup 1 get//GetRegistered eq 3 2 roll and exch
+2 get/exec load eq and
+}{
+pop false
+}ifelse
+}{
+pop false
+}ifelse
+}bind def
+/DoNothing
+{
+}def
+/RunTypeDaemon
+{
+dup type/dicttype eq{
+dup/Type//knownget exec{
+//PDFReader/TypeDaemons get exch
+//knownget exec{
+exec
+}if
+}if
+}if
+}bind def
+/obj
+{
+//PDFR_DEBUG{
+(Defining )print 1 index =only( )print dup =only( obj)=
+}if
+0 ne{
+exch mark exch(An object generation )exch( isn't 0.)//error exec
+}if
+}bind def
+/endobj
+{
+//PDFR_DEBUG{
+(endobj )=
+}if
+count 1 eq {pop} {dup type/dicttype eq{
+dup/.endobj_daemon//knownget exec{
+//PDFR_DEBUG{(.endobj_daemon for )print 2 index =}if
+exec
+}if
+}if
+dup type/dicttype eq{dup/ImmediateExec known}{false}ifelse{
+pop pop
+}{
+//PDFR_DEBUG{
+(Storing )print 1 index =
+}if
+//RunTypeDaemon exec
+//DoNothing 3 1 roll//Register exec
+}ifelse
+}ifelse}bind def
+/StoreBlock
+{
+//PDFR_DEBUG{
+(StoreBlock )print//PDFReader/BlockCount get =only(, Length = )print dup length =
+}if
+dup length string copy
+//PDFReader/BlockCount get exch
+//PDFReader/CurrentObject get 3 1 roll
+put
+//PDFReader/BlockCount get 1 add
+//PDFReader exch/BlockCount exch put
+}bind def
+/CheckLength
+{dup type/integertype ne{
+mark(Object length isn't an integer.)//error exec
+}if
+}bind def
+/ResolveD
+{
+3 copy pop get
+dup//IsObjRef exec{
+//PDFR_DEBUG{
+(Resolving )print//PrintReference exec
+}if
+exec
+exch exec
+}{
+exch pop
+}ifelse
+dup 4 1 roll
+put
+}bind def
+/ResolveA
+{2 index 2 index get
+dup//IsObjRef exec{
+exec
+exch exec
+3 copy put
+}{
+exch pop
+}ifelse
+exch pop exch pop
+}bind def
+/StoreStream
+{
+dup//PDFReader exch/CurrentObject exch put
+//PDFReader/BlockCount 0 put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(StoreStream Length = )print dup =
+}if
+currentfile exch()/SubFileDecode filter
+{dup//BlockBuffer readstring{
+//StoreBlock exec
+}{
+//StoreBlock exec
+exit
+}ifelse
+}loop
+pop
+//PDFReader/CurrentObject null put
+//PDFR_DEBUG{
+(StoreStream end.)=
+}if
+}bind def
+/MakeStreamDumper
+{
+//PDFR_DEBUG{
+(MakeStreamDumper beg.)=
+}if
+currentglobal exch dup gcheck setglobal
+[exch
+1 dict dup/c 0 put exch
+1024 string
+{readstring pop
+(StreamDumper )print 1 index/c get =string cvs print( )print
+dup length =string cvs print( <)print dup print(>\n)print
+dup length
+3 2 roll
+dup/c get
+3 2 roll
+add/c exch put
+}/exec load
+]
+cvx 0()/SubFileDecode filter
+exch setglobal
+//PDFR_DEBUG{
+(MakeStreamDumper end.)=
+}if
+}bind def
+/ShortFilterNames 15 dict begin
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/AppendFilters
+{
+//PDFR_DEBUG{
+(AppendFilters beg.)=
+}if
+dup 3 1 roll
+/Filter//knownget exec{
+dup type/nametype eq{
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+2 index/DecodeParms//knownget exec{
+exch
+}if
+filter
+}{
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+dup//ShortFilterNames exch//knownget exec{
+exch pop
+}if
+3 1 roll
+4 index/DecodeParms//knownget exec{
+exch get
+}{
+pop null
+}ifelse
+dup null eq{
+pop 3 1 roll filter exch
+}{
+3 1 roll
+4 1 roll filter exch
+}ifelse
+}for
+pop
+}ifelse
+//PDFR_DEBUG//PDFR_DUMP and{
+//MakeStreamDumper exec
+}if
+}if
+exch pop
+//PDFR_DEBUG{
+(AppendFilters end.)=
+}if
+}bind def
+/ExecuteStream
+{
+dup//PDFReader exch/CurrentObject exch put
+dup/Length//CheckLength//ResolveD exec
+//PDFR_DEBUG{
+(ExecuteStream id = )print 2 index =only( Length = )print dup =
+}if
+//PDFReader/InitialGraphicState get
+//PDFReader/GraphicState get copy pop
+//PDFReader/Operators get begin
+currentfile exch ()/SubFileDecode filter
+1 index//AppendFilters exec
+cvx mark exch
+exec
+counttomark 0 ne{
+mark(Data left on ostack after an immediate stream execution.)//error exec
+}if
+cleartomark
+end
+//PDFR_DEBUG{
+(ExecuteStream end.)=
+}if
+//PDFReader/CurrentObject null put
+dup/IsPage known{
+dup/Context get/NumCopies//knownget exec{
+1 sub{
+copypage
+}repeat
+}if
+EPS2Write not {showpage} if
+}if
+}bind def
+/stream
+{
+//PDFR_DEBUG{
+1 index =only( stream)=
+}if
+1 index GetObject{
+dup xcheck{
+exec
+1 index null PutObject
+}{
+pop
+}ifelse
+}if
+dup/ImmediateExec known{
+dup/GlobalExec//knownget exec{
+currentglobal 4 1 roll
+setglobal
+//ExecuteStream exec
+3 2 roll setglobal
+}{
+//ExecuteStream exec
+}ifelse
+}{
+//StoreStream exec
+}ifelse
+dup/.CleanResources//knownget exec{
+/All eq{
+//CleanAllResources exec
+}if
+}if
+}bind def
+/HookFont
+{
+//PDFR_DEBUG{
+(Loaded the font )print dup/FontName get =
+}if
+{
+dup/FontFileType get dup/Type1 eq exch/MMType1 eq or{
+dup/FontName get
+//PDFReader/RemoveFontNamePrefix get exec
+findfont
+exit
+}if
+dup/FontFileType get/TrueType eq{
+//PDFReader/MakeType42 get exec
+//PDFR_DEBUG{
+(Font dict <<)=
+dup{
+1 index/sfnts eq{
+exch pop
+(/sfnts [)print
+{
+(-string\()print length//=only exec(\)- )=
+}forall
+(])=
+}{
+exch//=only exec( )print ==
+}ifelse
+}forall
+(>>)=
+}if
+dup/FontName get exch definefont
+exit
+}if
+mark(FontHook has no proc for )2 index/FontFileType get//error exec
+}loop
+/Font exch put
+}bind def
+/endstream
+{
+}bind def
+/xref
+{
+//PDFR_DEBUG{
+(xref)=
+//PDFR_DUMP{
+//PDFReader/ObjectRegistry get ==
+}if
+}if
+end
+count 0 ne{
+mark(Excessive data on estack at the end of the interpretation.)//error exec
+}if
+currentfile 1(%%EOF)/SubFileDecode filter
+flushfile
+cleardictstack
+}bind def
+/ResolveDict
+{dup{
+pop 1 index exch
+//DoNothing//ResolveD exec
+pop
+}forall
+pop
+}bind def
+/SetupPageView
+{
+//PDFR_DEBUG{
+(SetupPageView beg)=
+}if
+//DSC_OPDFREAD not{
+//GraphicState/InitialMatrix get setmatrix
+}if
+/MediaBox get aload pop
+3 index neg 3 index neg translate
+3 -1 roll sub 3 1 roll exch sub exch
+userdict/.HWMargins//knownget exec{
+aload pop
+}{
+currentpagedevice/.HWMargins//knownget exec{
+aload pop
+}{
+0 0 0 0
+}ifelse
+}ifelse
+currentpagedevice/PageSize get aload pop
+3 -1 roll sub 3 1 roll exch sub exch
+exch 3 index sub exch 3 index sub
+//SetPageSize{
+//PDFR_DEBUG{
+(Setting page size to )print 1 index//=only exec( )print dup =
+}if
+pop pop 3 index 3 index 2 copy
+currentglobal false setglobal 3 1 roll
+currentpagedevice dup /PageSize known{
+/PageSize get aload pop}{
+0 0}ifelse
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and{
+//PDFR_DEBUG{(PageSize matches request) == flush}if
+pop pop}{
+/MediaRequested where {
+//PDFR_DEBUG{(MediaRequested is true, check against new request) == flush}if
+/MediaRequested get aload pop
+round cvi 2 index round cvi eq
+exch round cvi 3 index round cvi eq and
+{//PDFR_DEBUG{(MediaRequested same as current request, ignore) == flush}if pop pop false}
+{//PDFR_DEBUG{(MediaRequested different to current request) == flush}if true}ifelse
+}{
+//PDFR_DEBUG{(No MediaRequested yet) == flush}if
+true
+}ifelse
+{
+//PDFR_DEBUG{(Setting pagesize) == flush}if
+2 array astore
+dup /MediaRequested exch def
+<< exch /PageSize exch >> setpagedevice
+}if
+}ifelse
+userdict/PDFR_InitialGS gstate put
+setglobal
+}if
+//RotatePages{
+2 copy gt 6 index 6 index gt ne{
+1 index 5 index le 1 index 5 index le and not
+}{
+false
+}ifelse
+}{
+false
+}ifelse
+{//CenterPages{
+//PDFR_DEBUG{
+(Rotating page, and then centering it)==
+}if
+90 rotate
+0 5 index neg translate
+5 index 1 index exch sub 2 div
+2 index 6 index sub 2 div neg
+translate
+}{
+//FitPages{
+1 index 5 index div 1 index 7 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+90 rotate
+0 5 index neg translate
+}ifelse
+}{
+//CenterPages{
+//PDFR_DEBUG{
+(Ccentering page)==
+}if
+1 index 6 index sub 2 div
+1 index 6 index sub 2 div
+translate
+}{
+//FitPages{
+1 index 6 index div 1 index 6 index div
+2 copy gt{
+exch
+}if
+pop dup scale
+}if
+}ifelse
+}ifelse
+pop pop
+translate
+pop pop
+//PDFR_DEBUG{
+(SetupPageView end)=
+}if
+}bind def
+/PageContentsDaemon
+{
+//PDFR_DEBUG{
+(Executing PageContentsDaemon for )print 2 index =
+}if
+1 index exch/Context exch put
+dup/ImmediateExec true put
+dup/IsPage true put
+SetPageSize {dup/Context get//SetupPageView exec}if
+}bind def
+/FontFileDaemon
+{
+//PDFR_DEBUG{
+(Executing FontFileDaemon for )print 2 index =
+}if
+dup/FontFileType get
+2 index exch
+dup//ReadFontProcs exch//knownget exec{
+exch pop exec
+}{
+mark(FontFile reader for )2 index( isn't implemented yet.)//error exec
+}ifelse
+//PDFR_DEBUG{
+(FontFileDaemon end)=
+}if
+pop
+}bind def
+/FontDescriptorDaemon
+{
+//PDFR_DEBUG{
+(Executing FontDescriptorDaemon for )print 2 index =
+}if
+2 copy/FontResource exch put
+/Subtype get 1 index exch/FontFileType exch put
+}bind def
+/UnPDFEscape{
+dup dup length string cvs
+dup(#)search{
+{
+pop
+(16#--)2 index 0 2 getinterval
+1 index 3 2 getinterval copy pop
+cvi
+0 exch put
+0
+1 index 2 1 index length 2 sub getinterval
+3 copy putinterval
+length
+3 copy exch put
+getinterval
+(#)search not{
+pop exit
+}if
+}loop
+(\0)search pop exch pop exch pop
+cvn
+exch pop
+}{
+pop pop
+}ifelse
+}bind def
+/TypeDaemons<<
+/Page
+{//PDFR_DEBUG{
+(Recognized a page.)=
+}if
+dup/Contents//knownget exec{
+0 get//DoNothing exch
+[
+3 index//PageContentsDaemon/exec load
+]cvx
+//Register exec
+}{
+(fixme: page with no Contents won't be printed.)=
+}ifelse
+}bind
+/FontDescriptor
+{//PDFR_DEBUG{
+(Recognized a font descriptor.)=
+}if
+dup/FontName//knownget exec{
+1 index/FontName 3 -1 roll//UnPDFEscape exec put
+}if
+dup dup/FontFile known{/FontFile}{/FontFile2}ifelse
+//knownget exec{
+0 get//DoNothing exch
+[
+3 index//FontFileDaemon/exec load
+]cvx
+//Register exec
+}{
+(Font descriptor )print 1 index =only( has no FontFile.)=
+}ifelse
+}bind
+/Font
+{//PDFR_DEBUG{
+(Recognized a font resource.)=
+}if
+dup/BaseFont//knownget exec{
+//UnPDFEscape exec 2 copy/BaseFont exch put
+//PDFReader/RemoveFontNamePrefix get exec
+currentglobal exch
+dup/Font resourcestatus{
+pop pop
+//PDFReader/GetInstalledFont get exec pop
+}{
+pop
+}ifelse
+setglobal
+}if
+dup/FontDescriptor//knownget exec{
+0 get
+dup//IsRegistered exec{
+//PDFR_DEBUG{
+(already registered )print dup =
+}if
+pop
+}{
+//DoNothing exch
+[
+3 index//FontDescriptorDaemon/exec load
+]cvx
+//Register exec
+}ifelse
+}if
+}bind
+>>def
+/MakeStreamReader
+{dup
+[
+exch
+//PDFR_DEBUG{
+(Stream proc )
+/print load
+//PDFR_STREAM{
+(<)
+/print load
+}if
+}if
+1 dict dup/i -1 put
+/dup load
+/i
+/get load
+1
+/add load
+/dup load
+3
+1
+/roll load
+/i
+/exch load
+/put load
+//knownget
+/exec load
+/not load
+{()}
+/if load
+//PDFR_DEBUG{
+//PDFR_STREAM{
+/dup load
+/print load
+(>)
+/print load
+}if
+( end of stream proc.\n)
+/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Stream reader )print dup ==
+}if
+0()/SubFileDecode filter
+exch//AppendFilters exec
+}bind def
+/RunDelayedStream
+{
+//GraphicState/InitialTextMatrix get
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get
+2 copy get null eq{
+2 copy currentglobal true setglobal matrix exch setglobal put
+}if
+get copy pop
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 add put
+//MakeStreamReader exec
+mark exch
+cvx exec
+counttomark 0 ne{
+mark(Data left on ostack after a delayed stream execution.)//error exec
+}if
+cleartomark
+//PDFReader/InitialTextMatrixStackPointer 2 copy get 1 sub put
+//InitialTextMatrixStack//PDFReader/InitialTextMatrixStackPointer get get
+//GraphicState/InitialTextMatrix get
+copy pop
+}bind def
+//ReadFontProcs begin
+/Type1
+{//PDFR_DEBUG{
+(ReadFontProcs.Type1)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+dup/ImmediateExec true put
+/GlobalExec true put
+}bind def
+/MMType1//Type1 def
+/TrueType
+{//PDFR_DEBUG{
+(ReadFontProcs.TrueType)=
+}if
+dup/.endobj_daemon[4 index//HookFont/exec load]cvx put
+pop
+}bind def
+end
+/.opdloadttfontdict 50 dict def
+.opdloadttfontdict begin
+/maxstring 65400 def
+end
+/.InsertionSort
+{
+/CompareProc exch def
+/Array exch def
+1 1 Array length 1 sub
+{
+/Ix exch def
+/Value1 Array Ix get def
+/Jx Ix 1 sub def
+{
+Jx 0 lt{
+exit
+}if
+/Value2 Array Jx get def
+Value1 Value2 CompareProc{
+exit
+}if
+Array Jx 1 add Value2 put
+/Jx Jx 1 sub def
+}loop
+Array Jx 1 add Value1 put
+}for
+Array
+}bind def
+/putu16{
+3 copy -8 bitshift put
+exch 1 add exch 16#ff and put
+}bind def
+/putu32{
+3 copy -16 bitshift putu16
+exch 2 add exch 16#ffff and putu16
+}bind def
+/.readtable{
+dup dup 1 and add string
+dup 0 4 -1 roll getinterval
+3 -1 roll exch
+dup()ne{readstring}if pop pop
+}bind def
+/.readbigtable{
+dup maxstring lt{
+.readtable
+}{
+currentuserparams/VMReclaim get -2 vmreclaim
+[4 2 roll{
+dup maxstring le{exit}if
+1 index maxstring string readstring pop 3 1 roll maxstring sub
+}loop .readtable]
+exch vmreclaim
+}ifelse
+}bind def
+/ReadTTF
+{
+.opdloadttfontdict begin
+/TTFontFile exch def
+/TableDir TTFontFile 12 string readstring pop def
+/tables TTFontFile TableDir 4 getu16 16 mul string readstring pop def
+/tabarray tables length 16 idiv array def
+TableDir 0 4 getinterval(ttcf)eq{
+QUIET not{(Can't handle TrueType font Collections.)=}if
+/.loadttfonttables cvx/invalidfont signalerror
+}{
+0 16 tables length 1 sub{
+dup
+tables exch 16 getinterval
+exch 16 div cvi exch
+tabarray 3 1 roll put
+}for
+}ifelse
+tabarray{exch 8 getu32 exch 8 getu32 gt}.InsertionSort pop
+/Read TableDir length tables length add def
+/tabs[
+tabarray{
+dup 8 getu32
+Read sub
+dup 0 gt{
+dup string TTFontFile exch readstring pop pop
+Read add/Read exch def
+}{
+pop
+}ifelse
+12 getu32
+dup Read add
+/Read exch def
+TTFontFile exch .readbigtable
+}forall
+]def
+end
+}bind def
+/GetLocaType
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(head)eq{
+tabs exch get
+50 gets16
+/LocaType exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/GetNumGlyphs
+{
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(maxp)eq{
+tabs exch get
+4 getu16
+/NumGlyphs exch def
+exit
+}{
+pop
+}ifelse
+}for
+}bind def
+/StringToLoca
+{
+/LocaIndex exch def
+/StringOffset 0 def
+{
+dup length StringOffset gt{
+dup
+LocaType 1 eq{
+StringOffset getu32
+LocaArray LocaIndex 3 -1 roll put
+/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 4 add
+def
+}{
+StringOffset getu16 2 mul
+LocaArray length LocaIndex gt {LocaArray LocaIndex 3 -1 roll put}{pop}ifelse/LocaIndex LocaIndex 1 add def
+/StringOffset StringOffset 2 add
+def
+}ifelse
+}{
+pop
+LocaIndex
+exit
+}ifelse
+}loop
+}bind def
+/GetSortedLoca
+{
+NumGlyphs 1 add array/LocaArray exch def
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+0 4 getinterval(loca)eq{
+tabs exch get
+exit
+}{
+pop
+}ifelse
+}for
+dup type/stringtype eq{
+0 StringToLoca pop
+}{
+0 exch
+{
+exch StringToLoca
+}forall
+pop
+}ifelse
+LocaArray{gt}.InsertionSort pop
+}bind def
+/GetWorkingString
+{
+WorkString 0
+GlyfArray GlyfStringIndex get
+putinterval
+/WorkBytes GlyfArray GlyfStringIndex get length def
+/GlyfStringIndex GlyfStringIndex 1 add def
+}bind def
+/GetWorkingBytes
+{
+/BytesToRead exch def
+WorkString 0 BytesToRead getinterval
+dup length string copy
+WorkString BytesToRead WorkBytes BytesToRead sub getinterval
+dup length string copy
+WorkString 0 3 -1 roll putinterval
+/WorkBytes WorkBytes BytesToRead sub def
+}bind def
+/GetGlyfBytes
+{
+/ToRead exch def
+WorkBytes 0 eq{
+GetWorkingString
+}if
+WorkBytes ToRead ge{
+ToRead string dup 0
+ToRead GetWorkingBytes putinterval
+}{
+ToRead string
+dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+ToRead WorkBytes sub
+GetWorkingString
+GetWorkingBytes
+putinterval
+}ifelse
+}bind def
+/SplitGlyf
+{
+/GlyfArray exch def
+/DestArray GlyfArray length 2 mul array def
+/DestArrayIndex 0 def
+/LastLoca 0 def
+/NextLocaIndex 0 def
+/LastLocaIndex 0 def
+/GlyfStringIndex 0 def
+/WorkString maxstring string def
+/WorkBytes 0 def
+{
+LocaArray NextLocaIndex get
+LastLoca sub maxstring gt
+{
+LocaArray LastLocaIndex get LastLoca sub
+GetGlyfBytes
+DestArray DestArrayIndex 3 -1 roll put
+/DestArrayIndex DestArrayIndex 1 add def
+LocaArray LastLocaIndex get/LastLoca exch def
+}{
+/LastLocaIndex NextLocaIndex def
+/NextLocaIndex NextLocaIndex 1 add def
+NextLocaIndex NumGlyphs gt
+{
+WorkBytes
+GlyfStringIndex GlyfArray length lt{
+GlyfArray GlyfStringIndex get length
+add string dup
+0
+WorkString 0 WorkBytes getinterval
+putinterval
+dup
+WorkBytes
+GetWorkingString
+WorkString 0 WorkBytes getinterval
+putinterval
+}{
+pop
+WorkString 0 WorkBytes getinterval
+}ifelse
+dup length string copy
+DestArray DestArrayIndex 3 -1 roll put
+exit
+}if
+}ifelse
+}loop
+DestArray
+}bind def
+/ProcessTTData
+{
+.opdloadttfontdict begin
+0 1 tabarray length 1 sub{
+/ix exch def
+tabarray ix get
+12 getu32 dup maxstring le{
+dup 4 mod 0 ne{
+4 div cvi 1 add 4 mul string/newstring exch def
+/oldstring tabs ix get def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix newstring put
+}{
+pop
+}ifelse
+}{
+dup 4 mod 0 ne{
+dup maxstring idiv maxstring mul sub
+4 idiv 1 add 4 mul string/newstring exch def
+tabs ix get
+dup length 1 sub dup/iy exch def get/oldstring exch def
+newstring 0 oldstring putinterval
+0 1 newstring length oldstring length sub 1 sub{
+newstring exch oldstring length add 0 put
+}for
+tabs ix get iy newstring put
+}{
+pop
+}ifelse
+}ifelse
+}for
+0 1 tabarray length 1 sub{
+dup tabarray exch get
+dup 12 getu32 maxstring gt{
+0 4 getinterval dup(glyf)eq{
+pop
+GetLocaType
+GetNumGlyphs
+GetSortedLoca
+dup tabs exch get
+SplitGlyf
+tabs 3 1 roll put
+}{
+(Warning, table )print print( > 64Kb\n)print
+pop
+}ifelse
+}{
+pop
+pop
+}ifelse
+}for
+end
+}bind def
+/Makesfnts
+{
+.opdloadttfontdict begin
+0
+tabs{
+dup type/stringtype eq{
+pop
+1 add
+}{
+{
+type/stringtype eq{
+1 add
+}if
+}forall
+}ifelse
+}forall
+1 add
+/TTOffset
+TableDir length
+tabarray length 16 mul add
+def
+0
+tabarray{
+exch dup 1 add
+3 1 roll
+dup
+tabs exch get
+dup type/stringtype eq{
+length
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}{
+0 exch
+{
+dup type/stringtype eq{
+length add
+}{
+pop
+}ifelse
+}forall
+2 index exch
+TTOffset
+dup 3 1 roll add
+/TTOffset exch def
+8 exch putu32
+exch tabarray 3 1 roll
+put
+}ifelse
+}forall
+pop
+array
+dup 0
+TableDir length
+tables length add
+string
+dup 0 TableDir putinterval
+dup 12 tables putinterval
+put
+dup
+/ix 1 def
+tabs{
+dup type/stringtype eq{
+ix exch
+put dup
+/ix ix 1 add def
+}{
+{
+dup type/stringtype eq{
+ix exch put dup
+/ix ix 1 add def
+}{
+pop
+}ifelse
+}forall
+}ifelse
+}forall
+pop
+end
+}bind def
+/MakeType42
+{
+//PDFR_DEBUG{
+(MakeType42 beg)=
+}if
+10 dict begin
+/FontName 1 index/FontName get def
+/FontType 42 def
+/FontMatrix[1 0 0 1 0 0]def
+/FontBBox 1 index/FontBBox get def
+dup/FontResource get
+dup/Encoding known{
+//PDFReader/ObtainEncoding get exec
+/Encoding get
+}{
+pop null
+}ifelse
+/PDFEncoding exch def
+/CharStrings 2 index//PDFReader/MakeTTCharStrings get exec def
+/sfnts 2 index//MakeStreamReader exec
+ReadTTF
+ProcessTTData
+Makesfnts
+def
+/Encoding StandardEncoding def
+/PaintType 0 def
+currentdict end
+//PDFR_DEBUG{
+(MakeType42 end)=
+}if
+}bind def
+/GetInstalledFont
+{
+dup//InstalledFonts exch knownget{
+exch pop
+}{
+dup findfont dup 3 1 roll
+//InstalledFonts 3 1 roll put
+}ifelse
+}bind def
+/RemoveFontNamePrefix
+{//=string cvs true
+0 1 5{
+2 index exch get//IsUpper exec not{
+pop false exit
+}if
+}for
+{(+)search{
+pop pop
+}if
+}if
+cvn
+}bind def
+/CheckFont
+{dup/Type get/Font ne{
+mark(Resource )3 index( must have /Type/Font .)//error exec
+}if
+}bind def
+/CheckEncoding
+{dup type/nametype ne{
+dup/Type get/Encoding ne{
+mark(Resource )3 index( must have /Type/Encoding .)//error exec
+}if
+}if
+}bind def
+/ObtainEncoding
+{dup/Encoding known{
+dup dup/Encoding//CheckEncoding//ResolveD exec
+dup type dup/arraytype eq exch/packedarraytype eq or{
+pop pop
+}{
+dup type/nametype eq{
+/Encoding findresource
+}{
+dup/BaseEncoding//knownget exec not{
+/StandardEncoding
+}if
+/Encoding findresource
+exch
+/Differences//knownget exec{
+exch dup length array copy exch
+0 exch
+{
+dup type/integertype eq{
+exch pop
+}{
+3 copy put pop
+1 add
+}ifelse
+}forall
+pop
+}if
+}ifelse
+/Encoding exch put
+}ifelse
+}{
+dup/Encoding/StandardEncoding/Encoding findresource put
+}ifelse
+}bind def
+/ObtainMetrics
+{dup/Widths//knownget exec{
+1 index/Encoding get
+256 dict
+3 index/Subtype get/TrueType eq{
+1000
+}{
+1
+}ifelse
+4 index/MissingWidth//knownget exec not{
+0
+}if
+5 index/FirstChar//knownget exec not{
+0
+}if
+6 5 roll
+dup 0 exch 1 exch length 1 sub{
+2 copy get
+exch 3 index add
+7 index exch get
+dup dup null ne exch/.notdef ne and{
+6 index 3 1 roll exch
+6 index div
+3 copy pop//knownget exec{
+0 eq
+}{
+true
+}ifelse
+{put
+}{
+pop pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}for
+pop pop pop pop exch pop
+1 index exch/Metrics exch put
+}{
+dup/MissingWidth//knownget exec{
+256 dict
+2 index/Encoding get{
+dup null ne{
+3 copy 3 2 roll put
+}if
+pop
+}forall
+exch pop
+1 index exch/Metrics exch put
+}if
+}ifelse
+}bind def
+/NotDef
+{
+FontMatrix aload pop pop pop exch pop exch pop
+1 exch div exch
+1 exch div exch
+1 index 0 setcharwidth
+0 setlinewidth
+0 0 moveto
+2 copy rlineto
+1 index 0 rlineto
+neg exch neg exch rlineto
+closepath stroke
+}bind def
+/SaveResourcesToStack{[//PDFReader/OldResources known{//PDFReader/OldResources get}{null}ifelse
+//PDFReader/CurrentObject get/Context get/Resources get]//PDFReader/OldResources 3 -1 roll put}bind def
+/RestoreResourcesFromStack{//PDFReader/OldResources get dup
+0 get//PDFReader/OldResources 3 -1 roll put
+1 get//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put} bind def
+/BuildChar
+{//PDFR_DEBUG{
+(BuildChar )print dup//=only exec( )print
+}if
+exch begin
+Encoding exch get
+//PDFR_DEBUG{
+dup =
+}if
+dup null eq{
+pop//NotDef exec
+}{
+CharProcs exch//knownget exec{currentfont/Font get/Resources//knownget exec{exec SaveResourcesToStack//PDFReader/CurrentObject get/Context get/Resources 3 -1 roll put//RunDelayedStream exec RestoreResourcesFromStack}{//RunDelayedStream exec}ifelse}{
+//NotDef exec
+}ifelse
+}ifelse
+end
+}bind def
+/printdict
+{(<<)=
+{exch = ==}forall
+(>>)=
+}bind def
+/printfont
+{
+dup{
+exch dup =
+dup/Encoding eq{
+pop =
+}{
+dup/FontInfo eq exch/Private eq or{
+//printdict exec
+}{
+==
+}ifelse
+}ifelse
+}forall
+}bind def
+/ScaleMetrics
+{1 index{
+2 index div
+3 index
+3 1 roll put
+}forall
+pop
+}bind def
+/ResolveAndSetFontAux
+{exch dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Font//DoNothing//ResolveD exec
+exch//CheckFont//ResolveD exec
+dup/Font//knownget exec{
+exch pop exch pop
+}{
+{
+dup/Subtype get dup dup/Type1 eq exch/TrueType eq or exch/MMType1 eq or{
+exch pop
+dup/BaseFont get
+//RemoveFontNamePrefix exec
+//PDFR_DEBUG{
+(Font )print dup =
+}if
+1 index/FontDescriptor known{
+//PDFR_DEBUG{
+(Font from a font descriptor.)=
+}if
+1 index
+/FontDescriptor//DoNothing//ResolveD exec
+/Font//knownget exec{
+exch pop
+}{
+//PDFR_DEBUG{
+(Font descriptor has no Font resolved.)=
+}if
+//GetInstalledFont exec
+}ifelse
+}{
+//GetInstalledFont exec
+}ifelse
+exch
+dup/Encoding known not{
+1 index/Encoding get 1 index exch/Encoding exch put
+}if
+//ObtainEncoding exec
+//ObtainMetrics exec
+exch
+dup length dict copy
+dup 2 index/Encoding get
+/Encoding exch put
+1 index/Metrics//knownget exec{
+2 index/Subtype get/TrueType ne{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+0.001 div
+//ScaleMetrics exec
+}{
+1 index/sfnts known not{
+1 index/FontMatrix get 0 get
+dup 0 eq{
+pop
+1 index/FontMatrix get 1 get
+dup 0 eq{pop 1}if
+}if
+//ScaleMetrics exec
+}if
+}ifelse
+1 index exch/Metrics exch put
+}if
+1 index/BaseFont get
+exch
+dup/FID undef
+dup/UniqueID undef
+definefont
+dup 3 1 roll
+/Font exch put
+exit
+}if
+dup/Subtype get/Type3 eq{
+//ObtainEncoding exec
+2 copy exch/FontName exch put
+dup/CharProcs get//ResolveDict exec
+dup/FontType 3 put
+dup/BuildChar//BuildChar put
+dup dup/Font exch put
+dup 3 1 roll
+definefont
+2 copy ne{
+2 copy/Font exch put
+}if
+exch pop
+exit
+}if
+dup/Subtype get/Type0 eq{
+}if
+dup/Subtype get/CIDFontType0 eq{
+}if
+dup/Subtype get/CIDFontType2 eq{
+}if
+mark(Unknown font type )2 index/Subtype get//error exec
+}loop
+}ifelse
+exch scalefont setfont
+}bind def
+/ResolveAndSetFont
+{
+//ResolveAndSetFontAux exec
+}bind def
+/.knownget
+{2 copy known{
+get true
+}{
+pop pop false
+}ifelse
+}bind def
+/.min
+{2 copy lt{
+exch
+}if
+pop
+}bind def
+/.max
+{2 copy gt{
+exch
+}if
+pop
+}bind def
+/.dicttomark
+{>>
+}bind def
+/getu16{
+2 copy get 8 bitshift 3 1 roll 1 add get add
+}bind def
+/gets16{
+getu16 16#8000 xor 16#8000 sub
+}bind def
+/getu32{
+2 copy getu16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/gets32{
+2 copy gets16 16 bitshift 3 1 roll 2 add getu16 add
+}bind def
+/cmapformats mark
+0{
+6 256 getinterval{}forall 256 packedarray
+}bind
+2{
+/sHK_sz 2 def
+/sH_sz 8 def
+dup 2 getu16/cmapf2_tblen exch def
+dup 4 getu16/cmapf2_lang exch def
+dup 6 256 sHK_sz mul getinterval/sHKs exch def
+0
+0 1 255{
+sHKs exch
+2 mul getu16
+1 index
+1 index
+lt{exch}if pop
+}for
+/sH_len exch def
+dup 6 256 sHK_sz mul add
+cmapf2_tblen 1 index sub getinterval
+/sH_gIA exch def
+/cmapf2_glyph_array 65535 array def
+/.cmapf2_putGID{
+/cmapf2_ch cmapf2_ch_hi 8 bitshift cmapf2_ch_lo add def
+firstCode cmapf2_ch_lo le
+cmapf2_ch_lo firstCode entryCount add lt
+and{
+sH_offset idRangeOffset add
+cmapf2_ch_lo firstCode sub 2 mul
+add 6 add
+sH_gIA exch getu16
+dup 0 gt{
+idDelta add
+cmapf2_glyph_array exch cmapf2_ch exch put
+}{
+pop
+}ifelse
+}{
+}ifelse
+}def
+16#00 1 16#ff{
+/cmapf2_ch_hi exch def
+sHKs cmapf2_ch_hi sHK_sz mul getu16
+/sH_offset exch def
+sH_gIA sH_offset sH_sz getinterval
+dup 0 getu16/firstCode exch def
+dup 2 getu16/entryCount exch def
+dup 4 gets16/idDelta exch def
+dup 6 getu16/idRangeOffset exch def
+pop
+sH_offset 0 eq{
+/cmapf2_ch_lo cmapf2_ch_hi def
+/cmapf2_ch_hi 0 def
+.cmapf2_putGID
+}{
+16#00 1 16#ff{
+/cmapf2_ch_lo exch def
+.cmapf2_putGID
+}for
+}ifelse
+}for
+pop
+0 1 cmapf2_glyph_array length 1 sub{
+dup cmapf2_glyph_array exch get
+null eq{cmapf2_glyph_array exch 0 put}{pop}ifelse
+}for
+cmapf2_glyph_array
+}bind
+4{
+/etab exch def
+/nseg2 etab 6 getu16 def
+14/endc etab 2 index nseg2 getinterval def
+2 add
+nseg2 add/startc etab 2 index nseg2 getinterval def
+nseg2 add/iddelta etab 2 index nseg2 getinterval def
+nseg2 add/idroff etab 2 index nseg2 getinterval def
+pop
+/firstcode startc 0 getu16 16#ff00 and dup 16#f000 ne{pop 0}if def
+/lastcode firstcode def
+/striptopbyte false def
+/putglyph{
+glyphs code 3 -1 roll put/code code 1 add def
+}bind def
+/numcodes 0 def/glyphs 0 0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+ecode lastcode gt {
+/lastcode ecode def
+}if
+}for pop
+firstcode 16#f000 ge lastcode firstcode sub 255 le and {
+lastcode 255 and
+/striptopbyte true def
+} {
+lastcode
+}ifelse
+1 add
+array def
+glyphs length 1024 ge{
+.array1024z 0 1024 glyphs length 1023 sub{glyphs exch 2 index putinterval}for
+glyphs dup length 1024 sub 3 -1 roll
+putinterval
+}{
+0 1 glyphs length 1 sub{glyphs exch 0 put}for
+}ifelse
+/numcodes 0 def/code 0 def
+0 2 nseg2 3 sub{
+/i2 exch def
+/scode startc i2 getu16 def
+/ecode endc i2 getu16 def
+numcodes scode firstcode sub
+exch sub 0 .max dup/code exch code exch add def
+ecode scode sub 1 add add numcodes add/numcodes exch def
+/delta iddelta i2 gets16 def
+TTFDEBUG{
+(scode=)print scode =only
+( ecode=)print ecode =only
+( delta=)print delta =only
+( droff=)print idroff i2 getu16 =
+}if
+idroff i2 getu16 dup 0 eq{
+pop scode delta add 65535 and 1 ecode delta add 65535 and
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+{putglyph}for
+}{
+/gloff exch 14 nseg2 3 mul add 2 add i2 add add def
+striptopbyte {
+/code scode 255 and def
+} {
+/code scode def
+} ifelse
+0 1 ecode scode sub{
+2 mul gloff add etab exch getu16
+dup 0 ne{delta add 65535 and}if putglyph
+}for
+}ifelse
+}for glyphs/glyphs null def
+}bind
+6{
+dup 6 getu16/firstcode exch def dup 8 getu16/ng exch def
+firstcode ng add array
+0 1 firstcode 1 sub{2 copy 0 put pop}for
+dup firstcode ng getinterval
+0 1 ng 1 sub{
+dup 2 mul 10 add 4 index exch getu16 3 copy put pop pop
+}for pop exch pop
+}bind
+.dicttomark readonly def
+/cmaparray{
+dup 0 getu16 cmapformats exch .knownget{
+TTFDEBUG{
+(cmap: format )print 1 index 0 getu16 = flush
+}if exec
+}{
+(Can't handle format )print 0 getu16 = flush
+0 1 255{}for 256 packedarray
+}ifelse
+TTFDEBUG{
+(cmap: length=)print dup length = dup ==
+}if
+}bind def
+/postremap mark
+/Cdot/Cdotaccent
+/Edot/Edotaccent
+/Eoverdot/Edotaccent
+/Gdot/Gdotaccent
+/Ldot/Ldotaccent
+/Zdot/Zdotaccent
+/cdot/cdotaccent
+/edot/edotaccent
+/eoverdot/edotaccent
+/gdot/gdotaccent
+/ldot/ldotaccent
+/zdot/zdotaccent
+.dicttomark readonly def
+/get_from_stringarray
+{1 index type/stringtype eq{
+get
+}{
+exch{
+2 copy length ge{
+length sub
+}{
+exch get exit
+}ifelse
+}forall
+}ifelse
+}bind def
+/getinterval_from_stringarray
+{
+2 index type/stringtype eq{
+getinterval
+}{
+string exch 0
+4 3 roll{
+dup length
+dup 4 index lt{
+3 index exch sub
+exch pop 3 1 roll exch pop
+}{
+dup 3 1 roll
+4 index sub
+5 index length 4 index sub
+2 copy gt{exch}if pop
+dup 3 1 roll
+5 index exch getinterval
+5 index 4 index 3 index
+getinterval
+copy pop
+exch pop add exch pop 0 exch
+dup 3 index length ge{exit}if
+}ifelse
+}forall
+pop pop
+}ifelse
+}bind def
+/string_array_size
+{dup type/stringtype eq{
+length
+}{
+0 exch{length add}forall
+}ifelse
+}bind def
+/postformats mark
+16#00010000{
+pop MacGlyphEncoding
+}
+16#00020000{
+dup dup type/arraytype eq{0 get}if length 36 lt{
+TTFDEBUG{(post format 2.0 invalid.)= flush}if
+pop[]
+}{
+/postglyphs exch def
+/post_first postglyphs dup type/arraytype eq{0 get}if def
+post_first 32 getu16/numglyphs exch def
+/glyphnames numglyphs 2 mul 34 add def
+/postpos glyphnames def
+/total_length postglyphs//string_array_size exec def
+numglyphs array 0 1 numglyphs 1 sub{
+postpos total_length ge{
+1 numglyphs 1 sub{1 index exch/.notdef put}for
+exit
+}if
+postglyphs postpos//get_from_stringarray exec
+postglyphs postpos 1 add 2 index//getinterval_from_stringarray exec cvn
+exch postpos add 1 add/postpos exch def
+2 index 3 1 roll
+put
+}for
+/postnames exch def
+numglyphs array 0 1 numglyphs 1 sub{
+dup 2 mul 34 add postglyphs exch 2//getinterval_from_stringarray exec
+dup 0 get 8 bitshift exch 1 get add dup 258 lt{
+MacGlyphEncoding exch get
+}{
+dup 32768 ge{
+pop/.notdef
+}{
+258 sub dup postnames length ge{
+TTFDEBUG{(   *** warning: glyph index past end of 'post' table)= flush}if
+pop
+exit
+}if
+postnames exch get
+postremap 1 index .knownget{exch pop}if
+}ifelse
+}ifelse
+2 index 3 1 roll put
+}for
+}
+ifelse
+}bind
+16#00030000{
+pop[]
+}bind
+.dicttomark readonly def
+/first_post_string
+{
+post dup type/arraytype eq{0 get}if
+}bind def
+/.getpost{
+/glyphencoding post null eq{
+TTFDEBUG{(post missing)= flush}if[]
+}{
+postformats first_post_string 0 getu32 .knownget{
+TTFDEBUG{
+(post: format )print
+first_post_string
+dup 0 getu16 =only(,)print 2 getu16 = flush
+}if
+post exch exec
+}{
+TTFDEBUG{(post: unknown format )print post 0 getu32 = flush}if[]
+}ifelse
+}ifelse def
+}bind def
+/TTParser<<
+/Pos 0
+/post null
+>>def
+/readu8
+{read not{
+mark(Insufficient data in the stream.)//error exec
+}if
+}bind def
+/readu16
+{dup//readu8 exec 8 bitshift exch//readu8 exec or
+}bind def
+/reads16
+{//readu16 exec 16#8000 xor 16#8000 sub
+}bind def
+/readu32
+{dup//readu16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/reads32
+{dup//reads16 exec 16 bitshift exch//readu16 exec or
+}bind def
+/SkipToPosition
+{dup//TTParser/Pos get
+exch//TTParser exch/Pos exch put
+sub
+//PDFR_DEBUG{
+(Skipping )print dup//=only exec( bytes.)=
+}if
+dup 0 eq{
+pop pop
+}{
+dup 3 1 roll
+()/SubFileDecode filter
+exch
+{1 index//BlockBuffer readstring pop length
+dup 0 eq{pop exch pop exit}if
+sub
+}loop
+0 ne{
+mark(Insufficient data in the stream for SkipToPosition.)//error exec
+}if
+}ifelse
+}bind def
+/TagBuffer 4 string def
+/ParseTTTableDirectory
+{//PDFR_DEBUG{
+(ParseTTTableDirectory beg)=
+}if
+15 dict begin
+dup//readu32 exec 16#00010000 ne{
+mark(Unknown True Type version.)//error exec
+}if
+dup//readu16 exec/NumTables exch def
+dup//readu16 exec/SearchRange exch def
+dup//readu16 exec/EntrySelector exch def
+dup//readu16 exec/RangeShift exch def
+//PDFR_DEBUG{
+(NumTables = )print NumTables =
+}if
+NumTables{
+dup//TagBuffer readstring not{
+mark(Could not read TT tag.)//error exec
+}if
+cvn
+[2 index//readu32 exec pop
+2 index//readu32 exec
+3 index//readu32 exec
+]
+//PDFR_DEBUG{
+2 copy exch//=only exec( )print ==
+}if
+def
+}repeat
+pop
+//TTParser/Pos 12 NumTables 16 mul add put
+currentdict end
+//PDFR_DEBUG{
+(ParseTTTableDirectory end)=
+}if
+}bind def
+/ParseTTcmap
+{//PDFR_DEBUG{
+(ParseTTcmap beg)=
+}if
+/cmap get aload pop
+3 1 roll
+7 dict begin
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(cmap position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos get/TablePos exch def
+dup//readu16 exec pop
+dup//readu16 exec/NumEncodings exch def
+//PDFR_DEBUG{
+(NumEncodings = )print NumEncodings =
+}if
+null
+NumEncodings{
+1 index//readu32 exec
+2 index//readu32 exec
+3 array dup 3 2 roll 0 exch put
+2 index null ne{
+dup 0 get 3 index 0 get sub
+3 index exch 1 exch put
+}if
+dup 4 3 roll pop 3 1 roll
+def
+}repeat
+dup 0 get
+4 3 roll exch sub
+1 exch put
+//PDFR_DEBUG{
+currentdict{
+exch dup type/integertype eq{
+//PrintHex exec( )print ==
+}{
+pop pop
+}ifelse
+}forall
+}if
+4 NumEncodings 8 mul add/HeaderLength exch def
+//TTParser/Pos//TTParser/Pos get HeaderLength add put
+0
+NumEncodings{
+16#7FFFFFF null
+currentdict{
+1 index type/integertype eq{
+exch pop dup 0 get
+dup 5 index gt{
+dup 4 index lt{
+4 1 roll
+exch pop exch pop
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}forall
+//PDFR_DEBUG{
+(Obtaining subtable for )print dup ==
+}if
+3 2 roll pop
+3 copy pop
+TablePos add//SkipToPosition exec
+3 copy exch pop 1 get
+//TTParser/Pos//TTParser/Pos get 3 index add put
+string
+readstring not{
+mark(Can't read a cmap subtable.)//error exec
+}if
+2 exch put
+}repeat
+pop pop
+currentdict end
+//PDFR_DEBUG{
+(ParseTTcmap end)=
+}if
+}bind def
+/GetTTEncoding
+{//PDFR_DEBUG{
+(GetTTEncoding beg)=
+}if
+get
+exch pop
+2 get
+10 dict begin
+/TTFDEBUG//PDFR_DEBUG def
+//cmaparray exec
+end
+//PDFR_DEBUG{
+(GetTTEncoding end)=
+dup ==
+}if
+}bind def
+/InverseEncoding
+{
+256 dict begin
+dup length 1 sub -1 0{
+2 copy get
+exch
+1 index currentdict exch//knownget exec{
+dup type/arraytype eq{
+aload length 1 add array astore
+}{
+2 array astore
+}ifelse
+}if
+def
+}for
+pop
+currentdict end
+}bind def
+/GetMacRomanEncodingInverse
+{//PDFReader/MacRomanEncodingInverse get
+dup null eq{
+pop
+MacRomanEncoding//InverseEncoding exec
+dup//PDFReader exch/MacRomanEncodingInverse exch put
+}if
+}bind def
+/PutCharStringSingle
+{
+dup 3 index length lt{
+2 index exch get
+dup 0 ne{
+def
+}{
+pop pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/PutCharString
+{1 index type/nametype ne{
+mark(Bad charstring name)//error exec
+}if
+dup type/arraytype eq{
+{
+3 copy//PutCharStringSingle exec
+pop pop
+}forall
+pop
+}{
+//PutCharStringSingle exec
+}ifelse
+}bind def
+/ComposeCharStrings
+{
+//PDFR_DEBUG{
+(ComposeCharStrings beg)=
+}if
+1 index length 1 add dict begin
+/.notdef 0 def
+exch
+//TTParser/post get
+dup null ne{
+exch
+1 index length 1 sub -1 0{
+dup 3 index exch get exch
+dup 0 eq 2 index/.notdef eq or{
+pop pop
+}{
+def
+}ifelse
+}for
+}if
+exch pop exch
+{
+//PutCharString exec
+}forall
+pop
+currentdict end
+//PDFR_DEBUG{
+(ComposeCharStrings end)=
+}if
+}bind def
+/ParseTTpost
+{
+//PDFR_DEBUG{
+(ParseTTpost beg)=
+}if
+/post get aload pop
+3 1 roll
+//PDFR_DEBUG{
+(Current position = )print//TTParser/Pos get =
+(post position = )print dup =
+}if
+1 index exch//SkipToPosition exec
+//TTParser/Pos//TTParser/Pos get 4 index add put
+exch dup 65535 le{
+string
+readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}{
+[3 1 roll
+dup 16384 div floor cvi
+exch 1 index 16384 mul
+sub exch
+1 sub 0 1 3 -1 roll
+{
+1 add index
+16384 string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+}for
+counttomark -2 roll
+string readstring not{
+mark(Insufficient data in the stream for ParseTTpost.)//error exec
+}if
+]
+}ifelse
+1 dict begin
+/post exch def
+//.getpost exec
+//TTParser/post glyphencoding put
+//PDFR_DEBUG{
+(ParseTTpost end)=
+glyphencoding ==
+}if
+end
+}bind def
+/MakeTTCharStrings
+{//MakeStreamReader exec
+dup dup//ParseTTTableDirectory exec
+//TTParser/post null put
+dup/post//knownget exec{
+0 get
+1 index/cmap get 0 get
+lt{
+2 copy//ParseTTpost exec
+//ParseTTcmap exec
+}{
+2 copy//ParseTTcmap exec
+3 1 roll
+//ParseTTpost exec
+}ifelse
+}{
+//ParseTTcmap exec
+}ifelse
+{
+dup 16#00030001 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Windows Unicode.)=
+}if
+16#00030001//GetTTEncoding exec
+AdobeGlyphList//ComposeCharStrings exec
+exit
+}if
+dup 16#00010000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding for Macintosh Roman.)=
+}if
+16#00010000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+dup 16#00030000 known{
+//PDFR_DEBUG{
+(Using the TT cmap encoding 3.0 - not sure why Ghostscript writes it since old versions.)=
+}if
+16#00030000//GetTTEncoding exec
+PDFEncoding dup null eq{
+pop//GetMacRomanEncodingInverse exec
+}{
+//InverseEncoding exec
+}ifelse
+//ComposeCharStrings exec
+exit
+}if
+mark(True Type cmap has no useful encodings.)//error exec
+}loop
+//PDFR_DEBUG{
+(CharStrings <<)=
+dup{
+exch
+dup type/nametype eq{
+//=only exec
+}{
+==
+}ifelse
+( )print ==
+}forall
+(>>)=
+}if
+}bind def
+/ScaleVal
+{
+aload pop
+1 index sub
+3 2 roll mul add
+}bind def
+/ScaleArg
+{
+aload pop
+1 index sub
+3 1 roll
+sub exch div
+}bind def
+/ScaleArgN
+{
+dup length 2 sub -2 0{
+2
+2 index 3 1 roll getinterval
+3 2 roll
+exch//ScaleArg exec
+1 index length 2 idiv 1 add 1 roll
+}for
+pop
+}bind def
+/ComputeFunction_10
+{
+//PDFR_DEBUG{
+(ComputeFunction_10 beg )print 1 index//=only exec( stack=)print count =
+}if
+exch
+dup 1 eq{
+pop dup length 1 sub get
+}{
+1 index length 1 sub mul
+dup dup floor sub
+dup 0 eq{
+pop cvi get
+}{
+3 1 roll floor cvi
+2 getinterval
+aload pop
+2 index mul 3 2 roll 1 exch sub 3 2 roll mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_10 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/ComputeFunction_n0
+{
+//PDFR_DEBUG{
+(ComputeFunction_n0 beg N=)print dup//=only exec( stack=)print count =
+}if
+dup 0 eq{
+pop
+}{
+dup 2 add -1 roll
+dup 3 index length 1 sub ge{
+pop 1 sub
+exch dup length 1 sub get exch
+//PDFReader/ComputeFunction_n0 get exec
+}{
+dup floor cvi dup
+4 index exch get
+3 index dup
+5 add copy
+6 2 roll
+pop pop pop pop
+1 sub
+//PDFReader/ComputeFunction_n0 get exec
+3 2 roll pop
+exch
+4 3 roll exch
+4 add 2 roll 1 add
+3 2 roll exch get
+exch 1 sub
+//PDFReader/ComputeFunction_n0 get exec
+1 index mul
+3 1 roll
+1 exch sub mul add
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(ComputeFunction_n0 end )print dup//=only exec( stack=)print count =
+}if
+}bind def
+/FunctionToProc_x01
+{
+dup/Domain get exch
+dup/Data get 0 get exch
+/Size get length
+[4 1 roll
+//PDFR_DEBUG{
+{(function beg, stack =)print count//=only exec(\n)print}/exec load
+5 2 roll
+}if
+dup 1 gt{
+{mark exch
+3 add 2 roll
+//ScaleArgN exec
+counttomark dup
+3 add -2 roll
+pop exch
+//ComputeFunction_n0 exec
+}/exec load
+}{
+pop
+3 1/roll load//ScaleArg/exec load
+/exch load
+//ComputeFunction_10/exec load
+}ifelse
+//PDFR_DEBUG{
+(function end, stack =)/print load/count load//=only/exec load(\n)/print load
+}if
+]cvx
+//PDFR_DEBUG{
+(Made a procedure for the 1-result function :)=
+dup ==
+}if
+}bind def
+/FunctionProcDebugBeg
+{(FunctionProcDebugBeg )print count =
+}bind def
+/FunctionProcDebugEnd
+{(FunctionProcDebugEnd )print count =
+}bind def
+/FunctionToProc_x0n
+{
+PDFR_DEBUG{
+(FunctionToProc_x0n beg m=)print dup =
+}if
+1 index/Size get length exch
+dup 7 mul 2 add array
+PDFR_DEBUG{
+dup 0//FunctionProcDebugBeg put
+}{
+dup 0//DoNothing put
+}ifelse
+dup 1/exec load put
+dup 2 5 index/Domain get put
+2 index 1 eq{
+dup 3//ScaleArg put
+}{
+dup 3//ScaleArgN put
+}ifelse
+dup 4/exec load put
+1 index 1 sub 0 exch 1 exch{
+dup 7 mul 5 add
+1 index 4 index 1 sub ne{
+dup 3 index exch 6 index put 1 add
+dup 3 index exch/copy load put 1 add
+}if
+[
+6 index/Data get 3 index get
+6 index 1 eq{
+//ComputeFunction_10/exec load
+}{
+6 index
+//ComputeFunction_n0/exec load
+}ifelse
+]cvx
+3 index exch 2 index exch put 1 add
+2 index 1 index/exec load put 1 add
+1 index 4 index 1 sub ne{
+2 index 1 index 6 index 1 add put 1 add
+2 index 1 index 1 put 1 add
+2 index 1 index/roll load put
+}if
+pop pop
+}for
+PDFR_DEBUG{
+dup dup length 2 sub//FunctionProcDebugEnd put
+}{
+dup dup length 2 sub//DoNothing put
+}ifelse
+dup dup length 1 sub/exec load put
+cvx exch pop exch pop exch pop
+//PDFR_DEBUG{
+(Made a procedure for the n-argument function :)=
+dup ==
+}if
+PDFR_DEBUG{
+(FunctionToProc_x0n end)=
+}if
+}bind def
+/MakeTableRec
+{
+0
+exec
+}bind def
+/MakeTable
+{//PDFR_DEBUG{
+(MakeTable beg )print count =
+}if
+1 index/Size get exch
+1 sub dup
+3 1 roll
+get
+array
+1 index 0 eq{
+exch pop exch pop
+}{
+dup length 1 sub -1 0{
+3 index 3 index//MakeTableRec exec
+2 index 3 1 roll put
+}for
+exch pop exch pop
+}ifelse
+//PDFR_DEBUG{
+(MakeTable end )print count =
+}if
+}bind def
+//MakeTableRec 0//MakeTable put
+/StoreSample
+{
+1 sub
+dup 0 eq{
+pop
+}{
+-1 1{
+I exch get get
+}for
+}ifelse
+I 0 get 3 2 roll put
+}bind def
+/ReadSample32
+{
+4{
+File read not{
+mark(Insufficient data for function.)//error exec
+}if
+}repeat
+pop
+3 1 roll exch
+256 mul add 256 mul add
+//1_24_bitshift_1_sub div
+}bind def
+/ReadSample
+{
+Buffer BitsLeft BitsPerSample
+{2 copy ge{
+exit
+}if
+3 1 roll
+8 add 3 1 roll
+256 mul File read not{
+mark(Insufficient data for function.)//error exec
+}if
+add
+3 1 roll
+}loop
+sub dup
+2 index exch
+neg bitshift
+2 copy exch bitshift
+4 3 roll exch sub
+/Buffer exch def
+exch/BitsLeft exch def
+Div div
+}bind def
+/ReadSamplesRec
+{0
+exec
+}bind def
+/ReadSamples
+{
+//PDFR_DEBUG{
+(ReadSamples beg )print count =
+}if
+dup 1 eq{
+pop
+0 1 Size 0 get 1 sub{
+I exch 0 exch put
+0 1 M 1 sub{
+dup Range exch 2 mul 2 getinterval
+//PDFR_DEBUG{
+(Will read a sample ... )print
+}if
+BitsPerSample 32 eq{//ReadSample32}{//ReadSample}ifelse
+exec exch//ScaleVal exec
+//PDFR_DEBUG{
+(value=)print dup =
+}if
+exch Table exch get
+Size length//StoreSample exec
+}for
+}for
+}{
+1 sub
+dup Size exch get 0 exch 1 exch 1 sub{
+I exch 2 index exch put
+dup//ReadSamplesRec exec
+}for
+pop
+}ifelse
+//PDFR_DEBUG{
+(ReadSamples end )print count =
+}if
+}bind def
+//ReadSamplesRec 0//ReadSamples put
+/StreamToArray
+{//PDFR_DEBUG{
+(StreamToArray beg )print count =
+}if
+userdict/FuncDataReader get begin
+dup/BitsPerSample get/BitsPerSample exch def
+dup/Size get length/N exch def
+dup/Range get length 2 idiv/M exch def
+1 BitsPerSample bitshift 1 sub/Div exch def
+/BitsLeft 0 def
+/Buffer 0 def
+dup/Size get/Size exch def
+dup/Range get/Range exch def
+/File 1 index//MakeStreamReader exec def
+/I[N{0}repeat]def
+M array
+dup length 1 sub -1 0{
+2 index N//MakeTable exec
+2 index 3 1 roll put
+}for
+/Table exch def
+N//ReadSamples exec
+PDFR_DEBUG{
+(Table = )print Table ==
+}if
+/Data Table put
+end
+//PDFR_DEBUG{
+(StreamToArray end )print count =
+}if
+}bind def
+/FunctionToProc10
+{
+PDFR_DEBUG{
+(FunctionToProc10 beg, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+PDFR_DEBUG{
+(FunctionToProc10 end)=
+}if
+}bind def
+/FunctionToProc12
+{begin
+currentdict/C0//knownget exec{length 1 eq}{true}ifelse{
+N
+currentdict/C0//knownget exec{
+0 get
+}{
+0
+}ifelse
+currentdict/C1//knownget exec{
+0 get
+}{
+1
+}ifelse
+1 index sub
+[4 1 roll
+{
+4 2 roll
+exp mul add
+}aload pop
+]cvx
+}{
+[
+0 1 C0 length 1 sub{
+N
+C0 2 index get
+C1 3 index get
+4 3 roll pop
+1 index sub
+[/dup load
+5 2 roll
+{
+4 2 roll
+exp mul add
+exch
+}aload pop
+]cvx
+/exec load
+}for
+/pop load
+]cvx
+}ifelse
+end
+//PDFR_DEBUG{
+(FunctionType2Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc14
+{//MakeStreamReader exec cvx exec
+//PDFR_DEBUG{
+(FunctionType4Proc : )print dup ==
+}if
+}bind def
+/FunctionToProc1
+{
+dup/FunctionType get
+{dup 0 eq{
+pop//FunctionToProc10 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc12 exec exit
+}if
+dup 4 eq{
+pop//FunctionToProc14 exec exit
+}if
+mark exch(Function type )exch( isn't implemented yet.)//error exec
+}loop
+}bind def
+/FunctionToProc20
+{
+PDFR_DEBUG{
+(FunctionToProc20, Range = )print dup/Range get ==
+}if
+dup/Order//knownget exec{
+1 ne{
+(Underimplemented function Type 0 Order 3.)=
+}if
+}if
+dup//StreamToArray exec
+dup/Range get length dup 2 eq{
+pop//FunctionToProc_x01 exec
+}{
+2 idiv//FunctionToProc_x0n exec
+}ifelse
+}bind def
+/FunctionToProc
+{//PDFR_DEBUG{
+(FunctionToProc beg )print count =
+}if
+dup type/dicttype eq{
+dup/Domain get length 2 idiv
+{
+dup 1 eq{
+pop//FunctionToProc1 exec exit
+}if
+dup 2 eq{
+pop//FunctionToProc20 exec exit
+}if
+mark(Functions with many arguments aren't implemented yet.)//error exec
+}loop
+}{
+//PDFR_DEBUG{(Not a function dict, assume already a procedure.)print}if
+}ifelse
+//PDFR_DEBUG{
+(FunctionToProc end )print count =
+}if
+}bind def
+/spotfunctions mark
+/Round{
+abs exch abs 2 copy add 1 le{
+dup mul exch dup mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}
+/Diamond{
+abs exch abs 2 copy add .75 le{
+dup mul exch dup mul add 1 exch sub
+}{
+2 copy add 1.23 le{
+.85 mul add 1 exch sub
+}{
+1 sub dup mul exch 1 sub dup mul add 1 sub
+}ifelse
+}ifelse
+}
+/Ellipse{
+abs exch abs 2 copy 3 mul exch 4 mul add 3 sub dup 0 lt{
+pop dup mul exch .75 div dup mul add 4 div 1 exch sub
+}{
+dup 1 gt{
+pop 1 exch sub dup mul exch 1 exch sub
+.75 div dup mul add 4 div 1 sub
+}{
+.5 exch sub exch pop exch pop
+}ifelse
+}ifelse
+}
+/EllipseA{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseA{dup mul .9 mul exch dup mul add 1 sub}
+/EllipseB{dup 5 mul 8 div mul exch dup mul exch add sqrt 1 exch sub}
+/EllipseC{dup mul .9 mul exch dup mul add 1 exch sub}
+/InvertedEllipseC{dup mul .9 mul exch dup mul add 1 sub}
+/Line{exch pop abs neg}
+/LineX{pop}
+/LineY{exch pop}
+/Square{abs exch abs 2 copy lt{exch}if pop neg}
+/Cross{abs exch abs 2 copy gt{exch}if pop neg}
+/Rhomboid{abs exch abs 0.9 mul add 2 div}
+/DoubleDot{2{360 mul sin 2 div exch}repeat add}
+/InvertedDoubleDot{2{360 mul sin 2 div exch}repeat add neg}
+/SimpleDot{dup mul exch dup mul add 1 exch sub}
+/InvertedSimpleDot{dup mul exch dup mul add 1 sub}
+/CosineDot{180 mul cos exch 180 mul cos add 2 div}
+/Double{exch 2 div exch 2{360 mul sin 2 div exch}repeat add}
+/InvertedDouble{
+exch 2 div exch 2{360 mul sin 2 div exch}repeat add neg
+}
+.dicttomark readonly def
+/CheckColorSpace
+{
+dup type/arraytype ne{
+mark(Resource )3 index( must be an array.)//error exec
+}if
+}bind def
+/SubstitutePDFColorSpaceRec
+{0
+exec
+}bind def
+/SubstitutePDFColorSpace
+{
+{
+dup 0 get/Pattern eq{
+dup length 1 gt{
+dup dup 1//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+1 exch put
+}if
+exit
+}if
+dup 0 get/Indexed eq{
+exit
+}if
+dup 0 get/Separation eq{
+dup dup 2//CheckColorSpace//ResolveA exec
+dup type/nametype ne{
+//SubstitutePDFColorSpaceRec exec
+}if
+2 exch put
+exit
+}if
+dup 0 get/CalGray eq{
+1 get
+dup/Gamma//knownget exec{
+[exch[exch/exp load]cvx dup dup]
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedA exch]
+exit
+}if
+dup 0 get/CalRGB eq{
+1 get
+dup/Matrix//knownget exec{
+1 index exch/MatrixLMN exch put
+}if
+dup/Gamma//knownget exec{
+aload pop
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+[exch/exp load]cvx
+3 1 roll
+3 array astore
+1 index exch/DecodeLMN exch put
+}if
+[exch/CIEBasedABC exch]
+exit
+}if
+dup 0 get/Lab eq{
+1 get
+begin
+currentdict/Range//knownget exec{aload pop}{-100 100 -100 100}ifelse
+0 100 6 2 roll 6 array astore
+/RangeABC exch def
+/DecodeABC[{16 add 116 div}bind{500 div}bind{200 div}bind]def
+/MatrixABC[1 1 1 1 0 0 0 0 -1]def
+{dup 6 29 div ge{dup dup mul mul}{4 29 div sub 108 841 div mul}ifelse}
+/DecodeLMN[
+[3 index aload pop WhitePoint 0 get/mul load]cvx
+[4 index aload pop WhitePoint 1 get/mul load]cvx
+[5 index aload pop WhitePoint 2 get/mul load]cvx
+]def pop
+//PDFR_DEBUG{
+(Constructed from Lab <<)=
+currentdict{exch = ==}forall
+(>>)=
+}if
+[/CIEBasedABC currentdict]
+end
+exit
+pop
+}if
+dup 0 get/CIEBasedA eq{exit}if
+dup 0 get/CIEBasedABC eq{exit}if
+mark exch(Unimplemented color space )exch//error exec
+}loop
+}bind def
+//SubstitutePDFColorSpaceRec 0//SubstitutePDFColorSpace put
+/ResolveArrayElement
+{2 copy get
+dup type dup/arraytype eq exch
+/packedarraytype eq or{
+dup length 1 ge exch xcheck and{
+2 copy get
+dup 0 get type/integertype eq
+1 index 1 get type dup/arraytype
+eq exch
+/packedarraytype eq or
+and{
+exec
+2 index 4 1 roll put
+}{
+pop pop
+}ifelse
+}{
+pop
+}ifelse
+}{
+pop pop
+}ifelse
+}bind def
+/ResolveColorSpaceArrayRec
+{0
+exec
+}bind def
+/SetColorSpaceSafe
+{
+PDFR_DEBUG{
+(SetColorSpaceSafe beg)=
+}if
+currentcolorspace dup type/arraytype eq{
+1 index type/arraytype eq{
+dup length 2 index length eq{
+false exch
+dup length 0 exch 1 exch 1 sub{
+dup
+4 index exch get exch
+2 index exch get
+ne{
+exch pop true exch exit
+}if
+}for
+pop
+{
+setcolorspace
+}{
+pop
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+}{
+pop setcolorspace
+}ifelse
+PDFR_DEBUG{
+(SetColorSpaceSafe end)=
+}if
+}bind def
+/ResolveColorSpaceArray
+{
+//PDFR_DEBUG{
+(ResolveColorSpaceArray beg )print dup ==
+}if
+dup 0 get/Indexed eq{
+1//ResolveArrayElement exec
+dup dup 1 get
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArrayRec exec
+1 exch put
+}{
+pop pop
+}ifelse
+}if
+dup 0 get/Separation eq{
+dup dup 1 get UnPDFEscape 1 exch put
+3//ResolveArrayElement exec
+dup 3 get//FunctionToProc exec
+2 copy 3 exch put
+pop
+}if
+dup 0 get/Pattern eq{
+dup length 1 gt{dup
+1 get dup type/arraytype eq{
+ResolveColorSpaceArray
+1 index 1 3 -1 roll put
+}{pop}ifelse}if
+}if
+PDFR_DEBUG{
+(Construcrted color space :)=
+dup ==
+}if
+//PDFR_DEBUG{
+(ResolveColorSpaceArray end )print dup ==
+}if
+}bind def
+//ResolveColorSpaceArrayRec 0//ResolveColorSpaceArray put
+/ResolveColorSpace
+{
+//PDFR_DEBUG{
+(ResolveColorSpace beg )print dup =
+}if
+dup//SimpleColorSpaceNames exch known not{
+dup//PDFColorSpaces exch//knownget exec{
+exch pop
+//PDFR_DEBUG{
+(ResolveColorSpace known )=
+}if
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/ColorSpace//DoNothing//ResolveD exec
+exch//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//SubstitutePDFColorSpace exec
+//ResolveColorSpaceArray exec
+dup//PDFColorSpaces 4 2 roll put
+}if
+}ifelse
+}if
+//PDFR_DEBUG{
+(ResolveColorSpace end )print dup ==
+}if
+}bind def
+/CheckPattern
+{
+dup/PatternType//knownget exec{
+dup 1 ne{
+mark(Resource )4 index( is a shading, which can't be handled at level 2. )//error exec
+}if
+pop
+}if
+dup/Type knownget{
+/Pattern ne{
+mark(Resource )4 index( must have /Type/Pattern .)//error exec
+}if
+}if
+}bind def
+/PaintProc
+{/Context get
+//RunDelayedStream exec
+}bind def
+/ResolvePattern
+{
+dup
+userdict/PDFR_Patterns get
+exch//knownget exec{
+exch pop
+}{
+dup
+//PDFReader/CurrentObject get/Context get/Resources get
+/Pattern//DoNothing//ResolveD exec
+exch//CheckPattern//ResolveD exec
+dup dup/Context exch put
+dup/Resources//DoNothing//ResolveD exec pop
+dup/PaintProc//PaintProc put
+gsave userdict/PDFR_InitialGS get setgstate
+currentglobal exch false setglobal
+dup/Matrix get
+makepattern
+exch setglobal
+grestore
+dup userdict/PDFR_Patterns get
+4 2 roll
+put
+}ifelse
+}bind def
+/SetColor
+{//PDFR_DEBUG{
+(SetColor beg)=
+}if
+currentcolorspace dup type/nametype eq{
+pop setcolor
+}{
+0 get/Pattern eq{
+//ResolvePattern exec setpattern
+}{
+setcolor
+}ifelse
+}ifelse
+//PDFR_DEBUG{
+(SetColor end)=
+}if
+}bind def
+/ImageKeys 15 dict begin
+/BPC/BitsPerComponent def
+/CS/ColorSpace def
+/D/Decode def
+/DP/DecodeParms def
+/F/Filter def
+/H/Height def
+/IM/ImageMask def
+/I/Interpolate def
+/W/Width def
+currentdict end readonly def
+/ImageValues 15 dict begin
+/G/DeviceGray def
+/RGB/DeviceRGB def
+/CMYK/DeviceCMYK def
+/I/Indexed def
+/AHx/ASCIIHexDecode def
+/A85/ASCII85Decode def
+/LZW/LZWDecode def
+/Fl/FlateDecode def
+/RL/RunLengthDecode def
+/CCF/CCITTFaxDecode def
+/DCT/DCTDecode def
+currentdict end readonly def
+/GetColorSpaceRange
+{2 index/ColorSpace get
+dup type/arraytype eq{
+1 get
+}if
+exch//knownget exec{
+exch pop
+}if
+}bind def
+/DecodeArrays 15 dict begin
+/DeviceGray{[0 1]}def
+/DeviceRGB{[0 1 0 1 0 1]}def
+/DeviceCMYK{[0 1 0 1 0 1 0 1]}def
+/Indexed{
+dup/BitsPerComponent get 1 exch bitshift 1 sub[exch 0 exch]
+}def
+/Separation{[0 1]}def
+/CIEBasedA{[0 1]/RangeA//GetColorSpaceRange exec}def
+/CIEBasedABC{[0 1 0 1 0 1]/RangeABC//GetColorSpaceRange exec}def
+currentdict end readonly def
+/Substitute
+{1 index//knownget exec{
+exch pop
+}if
+}bind def
+/DebugImagePrinting
+{
+//PDFR_DEBUG{
+(Image :)=
+dup{exch//=only exec( )print ==
+}forall
+}if
+}bind def
+/CompleteImage
+{
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec pop
+}if
+dup/Decode known not{
+dup/ColorSpace//knownget exec{
+dup type/arraytype eq{
+0 get
+}if
+//DecodeArrays exch get exec
+}{
+[0 1]
+}ifelse
+1 index exch/Decode exch put
+}if
+dup/ImageMatrix[2 index/Width get 0 0 5 index/Height get neg
+0 7 index/Height get]put
+//DebugImagePrinting exec
+}bind def
+/CompleteInlineImage
+{
+//PDFR_DEBUG{
+(CompleteInlineImage beg)=
+}if
+dup/ImageType known not{
+dup/ImageType 1 put
+}if
+dup length dict exch{
+exch//ImageKeys//Substitute exec
+dup/Filter eq{
+exch//ImageValues//Substitute exec exch
+}if
+dup/ColorSpace eq{
+exch
+dup//ImageValues exch//knownget exec{
+exch pop
+}{
+//ResolveColorSpace exec
+}ifelse
+exch
+}if
+exch
+2 index 3 1 roll put
+}forall
+//CompleteImage exec
+dup/DataSource 2 copy get
+2 index//AppendFilters exec put
+//PDFR_DEBUG{
+(CompleteInlineImage end)=
+}if
+}bind def
+/CompleteOutlineImage
+{
+currentglobal exch dup gcheck setglobal
+//PDFR_DEBUG{
+(CompleteOutlineImage beg)=
+}if
+dup dup//MakeStreamReader exec/DataSource exch put
+dup/ImageType known not{
+//CompleteImage exec
+dup/ImageType 1 put
+dup/ColorSpace known{
+dup/ColorSpace//CheckColorSpace//ResolveD exec
+dup type/arraytype eq{
+//ResolveColorSpaceArray exec
+//SubstitutePDFColorSpace exec
+1 index exch/ColorSpace exch put
+}{
+pop
+}ifelse
+}if
+}if
+//PDFR_DEBUG{
+(CompleteOutlineImage end)=
+}if
+exch setglobal
+}bind def
+/DoImage
+{
+//PDFR_DEBUG{
+(DoImage beg)=
+}if
+gsave
+dup/ColorSpace//knownget exec{setcolorspace}if
+dup/ImageMask//knownget exec not{false}if
+{imagemask}{image}ifelse
+grestore
+//PDFR_DEBUG{
+(DoImage end)=
+}if
+}bind def
+/GSave
+{
+gsave
+//PDFReader/GraphicStateStackPointer get
+dup//GraphicStateStack exch get null eq{
+dup//GraphicStateStack exch//InitialGraphicState length dict put
+}if
+dup//GraphicStateStack exch get
+//GraphicState exch copy pop
+1 add//PDFReader exch/GraphicStateStackPointer exch put
+}bind def
+/GRestore
+{
+grestore
+//PDFReader/GraphicStateStackPointer get
+1 sub dup
+//PDFReader exch/GraphicStateStackPointer exch put
+//GraphicStateStack exch get
+//GraphicState copy pop
+}bind def
+/SetFont
+{dup//GraphicState exch/FontSize exch put
+//ResolveAndSetFont exec
+//GraphicState/FontMatrixNonHV currentfont/FontMatrix get 1 get 0 ne put
+}bind def
+/ShowText
+{//GraphicState/TextRenderingMode get 0 eq{
+//GraphicState/WordSpacing get 0
+32
+//GraphicState/CharacterSpacing get 0
+6 5 roll
+//GraphicState/FontMatrixNonHV get{
+[
+7 -2 roll pop
+5 -2 roll pop
+5 -1 roll
+{
+exch
+pop
+3 index add
+exch 2 index eq{3 index add}if
+4 1 roll
+}
+currentfont/FontMatrix get 0 get 0 ne{
+1 1 index length 1 sub getinterval cvx
+}if
+5 index
+cshow
+pop pop pop]
+xshow
+}{
+awidthshow
+}ifelse
+}{
+//GraphicState/CharacterSpacing get 0 eq
+//GraphicState/FontMatrixNonHV get not and
+//GraphicState/WordSpacing get 0 eq and{
+true charpath
+}{
+{
+exch
+pop 0
+currentpoint 5 4 roll
+( )dup 0 3 index put true charpath
+5 1 roll
+moveto rmoveto
+//GraphicState/CharacterSpacing get 0 rmoveto
+32 eq{
+//GraphicState/WordSpacing get 0 rmoveto
+}if
+}
+//GraphicState/FontMatrixNonHV get dup not exch{
+pop currentfont/FontMatrix get 0 get 0 ne
+}if{
+1 1 index length 1 sub getinterval cvx
+}if
+exch cshow
+}ifelse
+}ifelse
+}bind def
+/ShowTextBeg
+{//GraphicState/TextRenderingMode get 0 ne{
+currentpoint newpath moveto
+}if
+}bind def
+/ShowTextEnd
+{//GraphicState/TextRenderingMode get
+{dup 1 eq{
+stroke exit
+}if
+dup 2 eq{
+gsave fill grestore stroke exit
+}if
+dup 3 eq{
+currentpoint newpath moveto
+}if
+dup 4 eq{
+gsave fill grestore clip exit
+}if
+dup 5 eq{
+gsave stroke grestore clip exit
+}if
+dup 6 eq{
+gsave fill grestore gsave stroke grestore fill exit
+}if
+dup 7 eq{
+clip exit
+}if
+exit
+}loop
+pop
+}bind def
+/ShowTextWithGlyphPositioning
+{//ShowTextBeg exec
+{dup type/stringtype eq{
+//ShowText exec
+}{
+neg 1000 div//GraphicState/FontSize get mul 0 rmoveto
+}ifelse
+}forall
+//ShowTextEnd exec
+}bind def
+/CheckFont
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/SetTransfer
+{
+//PDFR_DEBUG{(SetTransfer beg )print count =}if
+dup type/arraytype eq 1 index xcheck not and{
+0 4 getinterval aload pop
+setcolortransfer
+}{
+settransfer
+}ifelse
+//PDFR_DEBUG{(SetTransfer end )print count =}if
+}bind def
+/CheckExtGState
+{dup/Type get/ExtGState ne{
+mark(Resource )3 index( must have /Type/ExtGState.)//error exec
+}if
+}bind def
+/CheckHalftone
+{dup/HalftoneType known not{
+mark(Resource )3 index( must have /HalftoneType.)//error exec
+}if
+}bind def
+/ResolveFunction
+{
+//PDFR_DEBUG{(ResolveFunction beg )print dup = count =}if
+2 copy get//IsObjRef exec{
+2 copy//DoNothing//ResolveD exec
+3 copy put pop
+}if
+2 copy get dup type/arraytype eq exch xcheck and not{
+2 copy get
+dup type/arraytype eq 1 index xcheck not and{
+dup length 1 sub -1 0{
+2 copy//DoNothing ResolveA
+dup/Identity eq{
+pop 2 copy{}put
+}{
+//FunctionToProc exec
+3 copy put pop
+}ifelse
+pop
+}for
+}{
+dup/Default eq{
+}{
+dup/Identity eq{
+pop{}
+}{dup type/nametype eq{
+//spotfunctions exch get
+}{
+//FunctionToProc exec
+}ifelse
+}ifelse
+}ifelse
+}ifelse
+3 copy put
+exch pop
+}{
+1 index exch get
+}ifelse
+//PDFR_DEBUG{(ResolveFunction end )print dup == count =}if
+}bind def
+/ResolveFunctionSafe
+{2 copy known{
+//ResolveFunction exec
+}if
+pop
+}bind def
+/CreateHalftoneThresholds
+{
+dup/Thresholds known not{
+dup/HalftoneType get 10 eq{
+dup dup//MakeStreamReader exec
+/Thresholds exch put
+}if
+dup/HalftoneType get dup 3 eq exch 6 eq or{
+dup dup//MakeStreamReader exec
+//BlockBuffer readstring pop
+dup length
+dup 0 eq{
+mark(Could not read Thresholds)//error exec
+}if
+string copy/Thresholds exch put
+dup/HalftoneType 3 put
+}if
+}if
+}bind def
+/SetExtGState
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/ExtGState//DoNothing//ResolveD exec
+exch//CheckExtGState//ResolveD exec
+dup/LW//knownget exec{
+setlinewidth
+}if
+dup/LC//knownget exec{
+setlinecap
+}if
+dup/LJ//knownget exec{
+setlinejoin
+}if
+dup/ML//knownget exec{
+setmeterlimit
+}if
+dup/D//knownget exec{
+setdash
+}if
+dup/RI//knownget exec{
+mark(Unimplemented ExtGState.RI)//error exec
+}if
+dup/OP//knownget exec{
+setoverprint
+}if
+dup/op//knownget exec{
+setoverprint
+}if
+dup/OPM//knownget exec{
+mark(Unimplemented ExtGState.OPM)//error exec
+}if
+dup/Font//knownget exec{
+mark(Unimplemented ExtGState.Font)//error exec
+}if
+dup/BG known{
+/BG//ResolveFunction exec
+setblackgeneration
+}if
+dup/BG2 known{
+/BG2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/BG2 get
+}if
+setblackgeneration
+}if
+dup/UCR known{
+/UCR//ResolveFunction exec
+setundercolorremoval
+}if
+dup/UCR2 known{
+/UCR2//ResolveFunction exec
+dup/Default eq{
+//InitialExtGState/UCR2 get
+}if
+setundercolorremoval
+}if
+dup/TR known{
+/TR//ResolveFunction exec
+//SetTransfer exec
+}if
+dup/TR2 known{
+/TR2//ResolveFunction exec
+dup/Default eq{
+pop//InitialExtGState/TR2 get
+aload pop setcolortransfer
+}{
+//SetTransfer exec
+}ifelse
+}if
+dup/HT//knownget exec{
+dup/Default eq{
+pop//InitialExtGState/HT get
+sethalftone
+}{
+//PDFR_DEBUG{(Ht beg)=}if
+pop dup/HT//CheckHalftone//ResolveD exec
+/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+null exch
+dup/HalftoneType get dup 5 eq exch dup 4 eq exch 2 eq or or{
+dup{
+dup//IsObjRef exec{
+pop
+1 index exch//CheckHalftone ResolveD
+}if
+dup type/dicttype eq{
+dup/SpotFunction//ResolveFunctionSafe exec
+/TransferFunction//ResolveFunctionSafe exec
+//CreateHalftoneThresholds exec
+dup/HalftoneType get 5 gt{
+4 3 roll pop
+dup 4 1 roll
+}if
+}if
+pop pop
+}forall
+}if
+//CreateHalftoneThresholds exec
+//PDFR_DEBUG{
+(HT:)=
+dup{
+1 index/Default eq{
+(Default <<)=
+exch pop
+{exch = ==}forall
+(>>)=
+}{
+exch = ==
+}ifelse
+}forall
+(HT end)= flush
+}if
+exch dup null ne{
+(Warning: Ignoring a halftone with a Level 3 component halftone Type )print dup/HalftoneType get =
+pop pop
+}{
+pop
+dup/HalftoneType get 5 gt{
+(Warning: Ignoring a Level 3 halftone Type )print dup/HalftoneType get =
+pop
+}{
+sethalftone
+}ifelse
+}ifelse
+//PDFR_DEBUG{(HT set)= flush}if
+}ifelse
+}if
+dup/FL//knownget exec{
+setflattness
+}if
+dup/SM//knownget exec{
+setsmoothness
+}if
+dup/SA//knownget exec{
+setstrokeadjust
+}if
+dup/BM//knownget exec{
+mark(Unimplemented ExtGState.BM)//error exec
+}if
+dup/SMask//knownget exec{
+mark(Unimplemented ExtGState.SMask)//error exec
+}if
+dup/CA//knownget exec{
+mark(Unimplemented ExtGState.CA)//error exec
+}if
+dup/ca//knownget exec{
+mark(Unimplemented ExtGState.ca)//error exec
+}if
+dup/AIS//knownget exec{
+mark(Unimplemented ExtGState.AIS)//error exec
+}if
+dup/TK//knownget exec{
+mark(Unimplemented ExtGState.TK)//error exec
+}if
+pop
+}bind def
+/CheckXObject
+{dup/Subtype get dup/Image ne exch dup/Form ne exch/PS ne and and{
+mark(Resource )3 index( must have /Subtype /Image or /Form or /PS.)//error exec
+}if
+}bind def
+/DoXObject
+{
+//PDFReader/CurrentObject get/Context get/Resources get
+/XObject//DoNothing//ResolveD exec
+exch//CheckXObject//ResolveD exec
+dup/Subtype get
+dup/Image eq{
+pop
+//CompleteOutlineImage exec
+//DoImage exec
+}{
+dup/PS eq{
+PDFR_DEBUG{
+(Executing a PS Xobject)=
+}if
+pop
+//RunDelayedStream exec
+}{
+dup/Form eq{
+pop
+PDFR_DEBUG{
+(Executing a Form XObject)=
+}if
+//PDFReader/CurrentObject get exch
+dup//PDFReader exch<< exch/Context exch >>/CurrentObject exch put
+dup/Matrix get concat
+dup/BBox get aload pop exch 3 index sub exch 2 index sub rectclip
+//RunDelayedStream exec
+//PDFReader exch/CurrentObject exch put
+}{
+mark exch(unimplemented XObject type )exch//error exec
+}ifelse
+}ifelse
+}ifelse
+}bind def
+/Operators 50 dict begin
+/q{//GSave exec}bind def
+/Q{//GRestore exec}bind def
+/cm{//TempMatrix astore concat}bind def
+/i{1 .min setflat}bind def
+/J/setlinecap load def
+/d/setdash load def
+/j/setlinejoin load def
+/w/setlinewidth load def
+/M/setmiterlimit load def
+/gs{SetExtGState}bind def
+/g/setgray load def
+/rg/setrgbcolor load def
+/k/setcmykcolor load def
+/cs{//ResolveColorSpace exec//SetColorSpaceSafe exec
+}bind def
+/sc/setcolor load def
+/scn{//SetColor exec}bind def
+/G/setgray load def
+/RG/setrgbcolor load def
+/K/setcmykcolor load def
+/CS//cs def
+/ri{SetColorRenderingIntent}bind def
+/SC/setcolor load def
+/SCN{//SetColor exec}bind def
+/m/moveto load def
+/l/lineto load def
+/c/curveto load def
+/v{currentpoint 6 2 roll curveto}bind def
+/y{2 copy curveto}bind def
+/re{
+4 2 roll moveto exch dup 0 rlineto 0 3 -1 roll rlineto neg 0 rlineto
+closepath
+}def
+/h/closepath load def
+/n/newpath load def
+/S/stroke load def
+/s{closepath stroke}bind def
+/f/fill load def
+/f*/eofill load def
+/B{gsave fill grestore stroke}bind def
+/b{closepath gsave fill grestore stroke}bind def
+/B*{gsave eofill grestore stroke}bind def
+/b*{closepath gsave eofill grestore stroke}bind def
+/W/clip load def
+/W*/eoclip load def
+/sh{
+ResolveShading
+dup/Background known{
+gsave
+dup/ColorSpace get setcolorspace
+dup/Background get aload pop setcolor
+pathbbox
+2 index sub exch 3 index sub exch
+rectfill
+grestore
+}if
+shfill
+}bind def
+/Do{//DoXObject exec}bind def
+/BI{currentglobal false setglobal<<}bind def
+/ID{>>
+dup/DataSource currentfile
+2 index/F//knownget exec{
+/A85 eq{
+0(~>)/SubFileDecode filter
+}if
+}if
+put
+//CompleteInlineImage exec
+exch setglobal
+//DoImage exec
+}bind def
+/EI{}bind def
+/BT{gsave//GraphicState/InitialTextMatrix get currentmatrix pop}bind def
+/ET{grestore}bind def
+/Tc{//GraphicState exch/CharacterSpacing exch put}bind def
+/TL{//GraphicState exch/TextLeading exch put}bind def
+/Tr{//GraphicState exch/TextRenderingMode exch put}bind def
+/Ts{
+mark(Unimplemented SetTextRise)//error exec
+}bind def
+/Tw{//GraphicState exch/WordSpacing exch put}bind def
+/Tz{
+mark(Unimplemented SetHorizontalTextScaling)//error exec
+}bind def
+/Td{translate 0 0 moveto}bind def
+/TD{dup neg//TL exec//Td exec}bind def
+/Tm{//GraphicState/InitialTextMatrix get setmatrix
+//TempMatrix astore concat
+0 0 moveto}bind def
+/T*{0//GraphicState/TextLeading get neg//Td exec}bind def
+/Tj{//ShowTextBeg exec//ShowText exec//ShowTextEnd exec}bind def
+/'{//T* exec//ShowText exec//ShowTextEnd exec}bind def
+/"{3 2 roll//Tw exec exch//Tc exec//' exec}bind def
+/TJ//ShowTextWithGlyphPositioning def
+/Tf//SetFont def
+/d0/setcharwidth load def
+/d1/setcachedevice load def
+/BDC{pop pop}bind def
+/BMC{pop}bind def
+/EMC{}bind def
+/BX{BeginCompatibilitySection}bind def
+/EX{EndCompatibilitySection}bind def
+/DP{DefineMarkedContentPointWithPropertyList}bind def
+/MP{DefineMarkedContentPoint}bind def
+/PS{cvx exec}bind def
+currentdict end def
+//PDFR_STREAM{
+//Operators length dict begin
+//Operators{
+exch dup
+[exch//=only/exec load
+( )/print load
+8 7 roll
+dup type/arraytype eq{
+/exec load
+}if
+( )/print load
+]cvx
+def
+}forall
+currentdict end/Operators exch def
+}if
+/.registerencoding
+{pop pop
+}bind def
+/.defineencoding
+{def
+}bind def
+/.findencoding
+{load
+}bind def
+/currentglobal where
+{pop currentglobal{setglobal}true setglobal}
+{{}}
+ifelse
+/MacRomanEncoding
+StandardEncoding 0 39 getinterval aload pop
+/quotesingle
+StandardEncoding 40 56 getinterval aload pop
+/grave
+StandardEncoding 97 31 getinterval aload pop
+/Adieresis/Aring/Ccedilla/Eacute/Ntilde/Odieresis/Udieresis/aacute
+/agrave/acircumflex/adieresis/atilde/aring/ccedilla/eacute/egrave
+/ecircumflex/edieresis/iacute/igrave
+/icircumflex/idieresis/ntilde/oacute
+/ograve/ocircumflex/odieresis/otilde
+/uacute/ugrave/ucircumflex/udieresis
+/dagger/degree/cent/sterling/section/bullet/paragraph/germandbls
+/registered/copyright/trademark/acute/dieresis/.notdef/AE/Oslash
+/.notdef/plusminus/.notdef/.notdef/yen/mu/.notdef/.notdef
+/.notdef/.notdef/.notdef/ordfeminine/ordmasculine/.notdef/ae/oslash
+/questiondown/exclamdown/logicalnot/.notdef
+/florin/.notdef/.notdef/guillemotleft
+/guillemotright/ellipsis/space/Agrave/Atilde/Otilde/OE/oe
+/endash/emdash/quotedblleft/quotedblright
+/quoteleft/quoteright/divide/.notdef
+/ydieresis/Ydieresis/fraction/currency
+/guilsinglleft/guilsinglright/fi/fl
+/daggerdbl/periodcentered/quotesinglbase/quotedblbase
+/perthousand/Acircumflex/Ecircumflex/Aacute
+/Edieresis/Egrave/Iacute/Icircumflex
+/Idieresis/Igrave/Oacute/Ocircumflex
+/.notdef/Ograve/Uacute/Ucircumflex
+/Ugrave/dotlessi/circumflex/tilde
+/macron/breve/dotaccent/ring/cedilla/hungarumlaut/ogonek/caron
+256 packedarray
+5 1 index .registerencoding
+.defineencoding
+exec
+/AdobeGlyphList mark
+/A 16#0041
+/AE 16#00c6
+/AEacute 16#01fc
+/AEmacron 16#01e2
+/AEsmall 16#f7e6
+/Aacute 16#00c1
+/Aacutesmall 16#f7e1
+/Abreve 16#0102
+/Abreveacute 16#1eae
+/Abrevecyrillic 16#04d0
+/Abrevedotbelow 16#1eb6
+/Abrevegrave 16#1eb0
+/Abrevehookabove 16#1eb2
+/Abrevetilde 16#1eb4
+/Acaron 16#01cd
+/Acircle 16#24b6
+/Acircumflex 16#00c2
+/Acircumflexacute 16#1ea4
+/Acircumflexdotbelow 16#1eac
+/Acircumflexgrave 16#1ea6
+/Acircumflexhookabove 16#1ea8
+/Acircumflexsmall 16#f7e2
+/Acircumflextilde 16#1eaa
+/Acute 16#f6c9
+/Acutesmall 16#f7b4
+/Acyrillic 16#0410
+/Adblgrave 16#0200
+/Adieresis 16#00c4
+/Adieresiscyrillic 16#04d2
+/Adieresismacron 16#01de
+/Adieresissmall 16#f7e4
+/Adotbelow 16#1ea0
+/Adotmacron 16#01e0
+/Agrave 16#00c0
+/Agravesmall 16#f7e0
+/Ahookabove 16#1ea2
+/Aiecyrillic 16#04d4
+/Ainvertedbreve 16#0202
+/Alpha 16#0391
+/Alphatonos 16#0386
+/Amacron 16#0100
+/Amonospace 16#ff21
+/Aogonek 16#0104
+/Aring 16#00c5
+/Aringacute 16#01fa
+/Aringbelow 16#1e00
+/Aringsmall 16#f7e5
+/Asmall 16#f761
+/Atilde 16#00c3
+/Atildesmall 16#f7e3
+/Aybarmenian 16#0531
+/B 16#0042
+/Bcircle 16#24b7
+/Bdotaccent 16#1e02
+/Bdotbelow 16#1e04
+/Becyrillic 16#0411
+/Benarmenian 16#0532
+/Beta 16#0392
+/Bhook 16#0181
+/Blinebelow 16#1e06
+/Bmonospace 16#ff22
+/Brevesmall 16#f6f4
+/Bsmall 16#f762
+/Btopbar 16#0182
+/C 16#0043
+/Caarmenian 16#053e
+/Cacute 16#0106
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diff --git a/figures/Schmidt2017/Fig6_connectivity_measures.py b/figures/Schmidt2017/Fig6_connectivity_measures.py
new file mode 100644
index 0000000000000000000000000000000000000000..81348bda44425f8a8f194657e46d2079a4709a9c
--- /dev/null
+++ b/figures/Schmidt2017/Fig6_connectivity_measures.py
@@ -0,0 +1,216 @@
+import os
+import matplotlib.pyplot as pl
+import numpy as np
+import sys
+
+from helpers import area_list, population_labels
+from matplotlib import gridspec
+from matplotlib.colors import LogNorm
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import create_mask, create_vector_mask
+from plotcolors import myred
+import pyx
+
+if len(sys.argv) > 1:
+    plot = sys.argv[1]
+else:
+    plot = ''
+
+
+base_dir = os.getcwd()
+cmap = pl.cm.coolwarm
+cmap2 = cmap.from_list('mycmap', ['white', myred], N=256)
+cmap2 = pl.get_cmap('inferno')
+
+M = MultiAreaModel({})
+
+"""
+Layout
+"""
+nrows = 1
+ncols = 2
+width = 6.8504
+panel_wh_ratio = 0.7 * (1. + np.sqrt(5)) / 2.  # golden ratio
+
+height = width / panel_wh_ratio * float(nrows) / ncols
+height = 6.
+
+pl.rcParams['figure.figsize'] = (width, height)
+
+gs1 = gridspec.GridSpec(1, 2)
+gs1.update(left=0.1, right=0.99, top=0.65, wspace=0.1, bottom=0.05)
+axes = {}
+axes['A'] = pl.subplot(gs1[:-1, :1])
+axes['B'] = pl.subplot(gs1[:-1, 1:2])
+
+gs2 = gridspec.GridSpec(1, 2)
+gs2.update(left=0.1, right=0.99, top=0.73, wspace=0.1, bottom=0.65)
+
+axes['A2'] = pl.subplot(gs2[:-1, :1], frameon=False)
+axes['B2'] = pl.subplot(gs2[:-1, 1:2], frameon=False)
+axes['A2'].set_xticks([])
+axes['A2'].set_yticks([])
+axes['B2'].set_xticks([])
+axes['B2'].set_yticks([])
+
+num_neurons = []
+for area in area_list:
+    for pop in M.structure[area]:
+        num_neurons.append(M.N[area][pop])
+num_neurons = np.array(num_neurons)
+
+prob = {}
+
+Npre = np.zeros_like(M.K_matrix[:, :-1])
+Npost = np.zeros_like(M.K_matrix[:, :-1])
+
+num_vector = np.zeros_like(M.K_matrix[:, :-1][:, 0])
+index = 0
+for area in area_list:
+    for pop in M.structure[area]:
+        num_vector[index] = M.N[area][pop]
+        index += 1
+
+for ii in range(254):
+    Npre[ii] = num_vector
+    Npost[:, ii] = num_vector
+
+C = 1. - (1. - 1. / (Npre * Npost))**(M.K_matrix[:, :-1] * Npost)
+Nsyn = M.K_matrix[:, :-1] * Npost
+outdegree = Nsyn / Npre
+indegree = M.K_matrix[:, :-1]
+
+plot_areas = ['V1', 'V2']  # , 'V2', 'MT', 'FEF', '46', 'TH']
+mask = create_mask(M.structure, target_areas=plot_areas,
+                   source_areas=plot_areas,
+                   extern=False)[:, :-1]
+vmask = create_vector_mask(M.structure, areas=plot_areas)
+new_size = np.where(vmask)[0].size
+
+Nsyn_plot = Nsyn[mask].reshape((new_size, new_size))
+C_plot = C[mask].reshape((new_size, new_size))
+indegree_plot = indegree[mask].reshape((new_size, new_size))
+outdegree_plot = outdegree[mask].reshape((new_size, new_size))
+
+t_index = 0
+ticks = []
+ticks_r = []
+for area in plot_areas:
+    ticks.append(t_index + 0.5 * len(M.structure[area]))
+    ticks_r.append(new_size - (t_index + 0.5 * len(M.structure[area])))
+    for ii, pop in enumerate(M.structure[area]):
+        t_index += 1
+
+
+ax = axes['A']
+ax.set_aspect(1. / ax.get_data_ratio())
+ax.yaxis.set_ticks_position("none")
+ax.xaxis.set_ticks_position("none")
+
+matrix = indegree_plot
+plot_norm = LogNorm(vmin=0.1, vmax=3000.)
+im = ax.pcolormesh(matrix[::-1], cmap=cmap2, norm=plot_norm)
+cb = pl.colorbar(im, orientation='horizontal',
+                 ax=axes['A2'], fraction=0.6, shrink=0.7)
+sm = pl.cm.ScalarMappable(cmap=cmap2, norm=plot_norm)
+ax.set_xlabel('Source population')
+ax.xaxis.set_label_coords(0.5, -0.15)
+
+ax.set_ylabel('Target population')
+ax.yaxis.set_label_coords(-0.15, 0.5)
+ax.set_xlim((0, new_size))
+ax.set_ylim((0, new_size))
+
+ax.set_xticks(np.arange(16) + 0.5)
+ax.set_xticklabels(2 * population_labels, rotation=90, size=7.)
+
+# ax.set_xticks(ticks)
+# ax.set_xticklabels(plot_areas, rotation=90, size=7.)
+ax.set_yticks(np.arange(16)[::-1] + 0.5)
+ax.set_yticklabels(2 * population_labels, size=7.)
+
+ax.text(-2., ticks_r[0], plot_areas[0], size=9., rotation=90)
+ax.text(-2., ticks_r[1], plot_areas[1], size=9., rotation=90)
+
+ax.text(ticks[0], -2., plot_areas[0], size=9.)
+ax.text(ticks[1], -2., plot_areas[1], size=9.)
+
+pos = cb.ax.get_position()
+ax_hist = pl.axes(
+    [pos.x0, pos.y0 + 0.06, pos.x1 - pos.x0, pos.y1 - pos.y0])
+bins = 10**np.linspace(np.log10(cb.get_clim()
+                                [0]), np.log10(cb.get_clim()[1]), 12)
+vals, bins = np.histogram(matrix, bins=bins)
+
+ax_hist.spines['right'].set_color('none')
+ax_hist.spines['left'].set_color('none')
+ax_hist.spines['top'].set_color('none')
+ax_hist.yaxis.set_ticks_position("none")
+ax_hist.xaxis.set_ticks_position("none")
+
+colors = sm.to_rgba(bins[:-1])
+ax_hist.bar(bins[:-1], vals, width=np.diff(bins), color=colors, edgecolor='k', align='edge')
+ax_hist.set_xscale('Log')
+ax_hist.set_xlim(cb.get_clim())
+ax_hist.set_xticks([])
+ax_hist.set_yticks([])
+
+# ax.set_yticks(ticks_r)
+# ax.set_yticklabels(plot_areas, size=7.)
+
+ax = axes['B']
+
+matrix = C_plot
+plot_norm = LogNorm(vmin=0.0001, vmax=np.max(C_plot))
+im = ax.pcolormesh(matrix[::-1], cmap=cmap2, norm=plot_norm)
+cb = pl.colorbar(im, orientation='horizontal',
+                 ax=axes['B2'], fraction=0.6, shrink=0.7)
+sm = pl.cm.ScalarMappable(cmap=cmap2, norm=plot_norm)
+ax.set_aspect(1. / ax.get_data_ratio())
+ax.yaxis.set_ticks_position("none")
+ax.xaxis.set_ticks_position("none")
+
+ax.set_xlim((0, new_size))
+ax.set_ylim((0, new_size))
+
+ax.set_xlabel('Source population')
+ax.xaxis.set_label_coords(0.5, -0.15)
+
+ax.set_xticks(np.arange(16) + 0.5)
+ax.set_xticklabels(2 * population_labels, rotation=90, size=7.)
+
+ax.text(ticks[0], -2., plot_areas[0], size=9.)
+ax.text(ticks[1], -2., plot_areas[1], size=9.)
+
+ax.set_yticks([])
+
+pos = cb.ax.get_position()
+ax_hist = pl.axes(
+    [pos.x0, pos.y0 + 0.06, pos.x1 - pos.x0, pos.y1 - pos.y0])
+
+bins = 10**np.linspace(np.log10(cb.get_clim()
+                                [0]), np.log10(cb.get_clim()[1]), 12)
+vals, bins = np.histogram(matrix, bins=bins)
+
+ax_hist.spines['right'].set_color('none')
+ax_hist.spines['left'].set_color('none')
+ax_hist.spines['top'].set_color('none')
+ax_hist.yaxis.set_ticks_position("none")
+ax_hist.xaxis.set_ticks_position("none")
+
+colors = sm.to_rgba(bins[:-1])
+ax_hist.bar(bins[:-1], vals, width=np.diff(bins), color=colors, edgecolor='k', align='edge')
+ax_hist.set_xscale('Log')
+ax_hist.set_xlim(cb.get_clim())
+ax_hist.set_xticks([])
+ax_hist.set_yticks([])
+
+pl.savefig('Fig6_connectivity_measures_mpl.eps')
+
+c = pyx.canvas.canvas()
+c.insert(pyx.epsfile.epsfile(
+    0., 0.5, "Fig6_connectivity_measures_mpl.eps", width=17.3))
+c.insert(pyx.epsfile.epsfile(
+    2.1, 12.5, "Fig6_conn_indegree.eps", width=6.5))
+c.insert(pyx.epsfile.epsfile(10., 12.5, "Fig6_conn_prob.eps", width=6.5))
+c.writeEPSfile("Fig6_connectivity_measures.eps")
diff --git a/figures/Schmidt2017/Fig7_community_structure.eps b/figures/Schmidt2017/Fig7_community_structure.eps
new file mode 100644
index 0000000000000000000000000000000000000000..8592c6b7232ce6b9a0e708c0db3295f8600c9617
--- /dev/null
+++ b/figures/Schmidt2017/Fig7_community_structure.eps
@@ -0,0 +1,2120 @@
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diff --git a/figures/Schmidt2017/Fig7_community_structure.py b/figures/Schmidt2017/Fig7_community_structure.py
new file mode 100644
index 0000000000000000000000000000000000000000..adc1996f5953ff22049e2606e2fd45f1c50bc9ea
--- /dev/null
+++ b/figures/Schmidt2017/Fig7_community_structure.py
@@ -0,0 +1,120 @@
+import os
+import copy
+from helpers import area_list
+import numpy as np
+from config import base_path
+from graph_helpers import perform_map_equation, modularity
+from graph_helpers import create_graph, plot_clustered_graph
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import load_degree_data
+from plotcolors import myred_hex, myblue_hex, myred2_hex
+from plotcolors import myblue2_hex, mypurple_hex, myyellow_hex, mygreen_hex
+
+# NOTE: igraph does not support setting a random seed for random
+# placing of graph nodes, so the resulting plot will look slightly
+# different from the published version
+
+colors = [myred_hex, myblue_hex, myblue2_hex, mygreen_hex,
+          mypurple_hex, myyellow_hex, myred2_hex, '#888888']
+colors = [myred_hex, myblue_hex, myblue2_hex,
+          mypurple_hex, mygreen_hex, myred2_hex]
+base_dir = os.getcwd()
+
+# Define positions of clusters
+center_of_masses = [[2., 1.],
+                    [-2., 1.],
+                    [0., 1.],
+                    [0., 0.],
+                    [0., 2.],
+                    [0.9, 1.]]
+
+"""
+Initialize model instance and load connectivity data
+"""
+M = MultiAreaModel({})
+fn = os.path.join(base_path,
+                  'config_files',
+                  'custom_Data_Model_{}.json'.format(M.label))
+ind, inda, out, outa = load_degree_data(fn)
+
+"""
+Construct matrix of relative and absolute outdegrees
+"""
+conn_matrix = np.zeros((32, 32))
+conn_matrix_abs = np.zeros((32, 32))
+for ii, area1 in enumerate(area_list):
+    for jj, area2 in enumerate(area_list):
+        value = outa[area1][area2] / np.sum(list(outa[area1].values()))
+        value_abs = outa[area1][area2]
+        if area1 != area2:
+            conn_matrix[ii][jj] = value
+            conn_matrix_abs[ii][jj] = value_abs
+
+
+"""
+Create igraph.Graph instances
+with relative and absolute outdegrees.
+"""
+g = create_graph(conn_matrix, area_list)
+g_abs = create_graph(conn_matrix_abs, area_list)
+
+
+"""
+Determine clusters using the map equation.
+"""
+modules, modules_areas, index = perform_map_equation(
+    conn_matrix, area_list, filename='Model')
+
+f = open('Model.map', 'r')
+line = ''
+while '*Nodes' not in line:
+    line = f.readline()
+
+line = f.readline()
+map_equation = []
+map_equation_areas = []
+while "*Links" not in line:
+    map_equation.append(int(line.split(':')[0]))
+    map_equation_areas.append(line.split('"')[1])
+    line = f.readline()
+
+# sort map_equation lists
+index = []
+for ii in range(32):
+    index.append(map_equation_areas.index(area_list[ii]))
+
+map_equation = np.array(map_equation)
+
+
+"""
+Plot graph
+"""
+plot_clustered_graph(g,
+                     g_abs,
+                     map_equation[index],
+                     'Fig7_community_structure.eps',
+                     center_of_masses,
+                     colors)
+
+
+"""
+Test significance of clustering using 1000
+null models.
+"""
+null_model = copy.copy(conn_matrix)
+mod_list = []
+
+# Shuffling of the connectivity
+# In the connectivity matrix, rows == targets, columns == sources
+# For each column, we shuffle the rows and therefore conserve the total outdegree of each area.
+
+for ii in range(10):
+    for jj in range(32):
+        ind = np.extract(np.arange(32) != jj, np.arange(32))
+        null_model[:, jj][ind] = null_model[:, jj][ind][np.random.shuffle(ind)]
+    modules, modules_areas, index = perform_map_equation(null_model, area_list, filename='null')
+    g_null = create_graph(null_model, area_list)
+    mod_list.append(modularity(g_null, modules[index]))
+
+print("Default structure, map_equation, Q = {}".format(modularity(g,
+                                                                  map_equation[index])))
diff --git a/figures/Schmidt2017/Fig8_laminar_paths.eps b/figures/Schmidt2017/Fig8_laminar_paths.eps
new file mode 100644
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--- /dev/null
+++ b/figures/Schmidt2017/Fig8_laminar_paths.eps
@@ -0,0 +1,171758 @@
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+      yMin sub dy mul dx div add yMin l
+      h f*
+    } {
+      exch 2 copy xMin sub dx mul dy div add xMin exch m
+      xMax sub dx mul dy div add xMax exch l
+      exch 2 copy xMax sub dx mul dy div add xMax exch l
+      xMin sub dx mul dy div add xMin exch l
+      h f*
+    } ifelse
+  } ifelse
+} def
+/radialCol {
+  dup t0 lt {
+    pop t0
+  } {
+    dup t1 gt {
+      pop t1
+    } if
+  } ifelse
+  func n array astore
+} def
+/radialSH {
+  dup 0 eq {
+    true
+  } {
+    dup 8 eq {
+      false
+    } {
+      2 index dt mul t0 add radialCol
+      2 index dt mul t0 add radialCol colordelta
+    } ifelse
+  } ifelse
+  {
+    1 add 3 1 roll 2 copy add 0.5 mul
+    dup 4 3 roll exch 4 index radialSH
+    exch 3 2 roll radialSH
+  } {
+    pop 2 copy add 0.5 mul dt mul t0 add
+    radialCol sc
+    encl {
+      exch dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      0 360 arc h
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      360 0 arcn h f
+    } {
+      2 copy
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a1 a2 arcn
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a2 a1 arcn h
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a1 a2 arc
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a2 a1 arc h f
+    } ifelse
+  } ifelse
+} def
+end
+%%EndResource
+%%EndProlog
+%%BeginSetup
+xpdf begin
+%%BeginResource: font CMSSBX10
+%!PS-AdobeFont-1.0: CMSSBX10 003.002
+%%Title: CMSSBX10
+%Version: 003.002
+%%CreationDate: Mon Jul 13 16:17:00 2009
+%%Creator: David M. Jones
+%Copyright: Copyright (c) 1997, 2009 American Mathematical Society
+%Copyright:  (<http://www.ams.org>), with Reserved Font Name CMSSBX10.
+% This Font Software is licensed under the SIL Open Font License, Version 1.1.
+% This license is in the accompanying file OFL.txt, and is also
+% available with a FAQ at: http://scripts.sil.org/OFL.
+%%EndComments
+
+FontDirectory/CMSSBX10 known{/CMSSBX10 findfont dup/UniqueID known{dup
+/UniqueID get 5000806 eq exch/FontType get 1 eq and}{pop false}ifelse
+{save true}{false}ifelse}{false}ifelse
+11 dict begin
+/FontType 1 def
+/FontMatrix [0.001 0 0 0.001 0 0 ]readonly def
+/FontName /CMSSBX10 def
+/FontBBox {-71 -250 1099 780 }readonly def
+/UniqueID 5000806 def
+/PaintType 0 def
+/FontInfo 9 dict dup begin
+ /version (003.002) readonly def
+ /Notice (Copyright \050c\051 1997, 2009 American Mathematical Society \050<http://www.ams.org>\051, with Reserved Font Name CMSSBX10.) readonly def
+ /FullName (CMSSBX10) readonly def
+ /FamilyName (Computer Modern) readonly def
+ /Weight (Bold) readonly def
+ /ItalicAngle 0 def
+ /isFixedPitch false def
+ /UnderlinePosition -100 def
+ /UnderlineThickness 50 def
+end readonly def
+/Encoding 256 array
+ 0 1 255 { 1 index exch /.notdef put} for
+dup 0 /Gamma put
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+dup 2 /Theta put
+dup 3 /Lambda put
+dup 4 /Xi put
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+dup 30 /OE put
+dup 31 /Oslash put
+dup 32 /suppress put
+dup 33 /exclam put
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+dup 35 /numbersign put
+dup 36 /dollar put
+dup 37 /percent put
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+dup 55 /seven put
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+dup 60 /exclamdown put
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+dup 63 /question put
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+dup 65 /A put
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+dup 93 /bracketright put
+dup 94 /circumflex put
+dup 95 /dotaccent put
+dup 96 /quoteleft put
+dup 97 /a put
+dup 98 /b put
+dup 99 /c put
+dup 100 /d put
+dup 101 /e put
+dup 102 /f put
+dup 103 /g put
+dup 104 /h put
+dup 105 /i put
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+dup 109 /m put
+dup 110 /n put
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+dup 112 /p put
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+dup 114 /r put
+dup 115 /s put
+dup 116 /t put
+dup 117 /u put
+dup 118 /v put
+dup 119 /w put
+dup 120 /x put
+dup 121 /y put
+dup 122 /z put
+dup 123 /endash put
+dup 124 /emdash put
+dup 125 /hungarumlaut put
+dup 126 /tilde put
+dup 127 /dieresis put
+dup 128 /suppress put
+dup 160 /space put
+dup 161 /Gamma put
+dup 162 /Delta put
+dup 163 /Theta put
+dup 164 /Lambda put
+dup 165 /Xi put
+dup 166 /Pi put
+dup 167 /Sigma put
+dup 168 /Upsilon put
+dup 169 /Phi put
+dup 170 /Psi put
+dup 171 /sfthyphen put
+dup 172 /nbspace put
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+dup 180 /dotlessj put
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+dup 182 /acute put
+dup 183 /caron put
+dup 184 /breve put
+dup 185 /macron put
+dup 186 /ring put
+dup 187 /cedilla put
+dup 188 /germandbls put
+dup 189 /ae put
+dup 190 /oe put
+dup 191 /oslash put
+dup 192 /AE put
+dup 193 /OE put
+dup 194 /Oslash put
+dup 195 /suppress put
+dup 196 /dieresis put
+readonly def
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+      3 1 roll colordelta 3 1 roll
+      colordelta or or or
+    } ifelse
+  } ifelse
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+    4 index 3 index add 0.5 mul exch 4 index 3 index add 0.5 mul exch
+    6 index 6 index 4 index 4 index 4 index funcSH
+    2 index 6 index 6 index 4 index 4 index funcSH
+    6 index 2 index 4 index 6 index 4 index funcSH
+    5 3 roll 3 2 roll funcSH pop pop
+  } {
+    pop 3 index 2 index add 0.5 mul 3 index  2 index add 0.5 mul
+    funcCol sc
+    dup 4 index exch mat transform m
+    3 index 3 index mat transform l
+    1 index 3 index mat transform l
+    mat transform l pop pop h f*
+  } ifelse
+} def
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+    pop t0
+  } {
+    dup 1 gt {
+      pop t1
+    } {
+      dt mul t0 add
+    } ifelse
+  } ifelse
+  func n array astore
+} def
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+    true
+  } {
+    dup 8 eq {
+      false
+    } {
+      2 index axialCol 2 index axialCol colordelta
+    } ifelse
+  } ifelse
+  {
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+    dup 4 3 roll exch 4 index axialSH
+    exch 3 2 roll axialSH
+  } {
+    pop 2 copy add 0.5 mul
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+    3 2 roll dup dx mul x0 add exch dy mul y0 add
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+      yMax sub dy mul dx div add yMax l
+      2 copy yMax sub dy mul dx div add yMax l
+      yMin sub dy mul dx div add yMin l
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+      xMax sub dx mul dy div add xMax exch l
+      exch 2 copy xMax sub dx mul dy div add xMax exch l
+      xMin sub dx mul dy div add xMin exch l
+      h f*
+    } ifelse
+  } ifelse
+} def
+/radialCol {
+  dup t0 lt {
+    pop t0
+  } {
+    dup t1 gt {
+      pop t1
+    } if
+  } ifelse
+  func n array astore
+} def
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+  dup 0 eq {
+    true
+  } {
+    dup 8 eq {
+      false
+    } {
+      2 index dt mul t0 add radialCol
+      2 index dt mul t0 add radialCol colordelta
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+    exch 3 2 roll radialSH
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+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a1 a2 arc
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
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+  exch pop exch pop
+} def
+/funcCol { func n array astore } def
+/funcSH {
+  dup 0 eq {
+    true
+  } {
+    dup 6 eq {
+      false
+    } {
+      4 index 4 index funcCol dup
+      6 index 4 index funcCol dup
+      3 1 roll colordelta 3 1 roll
+      5 index 5 index funcCol dup
+      3 1 roll colordelta 3 1 roll
+      6 index 8 index funcCol dup
+      3 1 roll colordelta 3 1 roll
+      colordelta or or or
+    } ifelse
+  } ifelse
+  {
+    1 add
+    4 index 3 index add 0.5 mul exch 4 index 3 index add 0.5 mul exch
+    6 index 6 index 4 index 4 index 4 index funcSH
+    2 index 6 index 6 index 4 index 4 index funcSH
+    6 index 2 index 4 index 6 index 4 index funcSH
+    5 3 roll 3 2 roll funcSH pop pop
+  } {
+    pop 3 index 2 index add 0.5 mul 3 index  2 index add 0.5 mul
+    funcCol sc
+    dup 4 index exch mat transform m
+    3 index 3 index mat transform l
+    1 index 3 index mat transform l
+    mat transform l pop pop h f*
+  } ifelse
+} def
+/axialCol {
+  dup 0 lt {
+    pop t0
+  } {
+    dup 1 gt {
+      pop t1
+    } {
+      dt mul t0 add
+    } ifelse
+  } ifelse
+  func n array astore
+} def
+/axialSH {
+  dup 0 eq {
+    true
+  } {
+    dup 8 eq {
+      false
+    } {
+      2 index axialCol 2 index axialCol colordelta
+    } ifelse
+  } ifelse
+  {
+    1 add 3 1 roll 2 copy add 0.5 mul
+    dup 4 3 roll exch 4 index axialSH
+    exch 3 2 roll axialSH
+  } {
+    pop 2 copy add 0.5 mul
+    axialCol sc
+    exch dup dx mul x0 add exch dy mul y0 add
+    3 2 roll dup dx mul x0 add exch dy mul y0 add
+    dx abs dy abs ge {
+      2 copy yMin sub dy mul dx div add yMin m
+      yMax sub dy mul dx div add yMax l
+      2 copy yMax sub dy mul dx div add yMax l
+      yMin sub dy mul dx div add yMin l
+      h f*
+    } {
+      exch 2 copy xMin sub dx mul dy div add xMin exch m
+      xMax sub dx mul dy div add xMax exch l
+      exch 2 copy xMax sub dx mul dy div add xMax exch l
+      xMin sub dx mul dy div add xMin exch l
+      h f*
+    } ifelse
+  } ifelse
+} def
+/radialCol {
+  dup t0 lt {
+    pop t0
+  } {
+    dup t1 gt {
+      pop t1
+    } if
+  } ifelse
+  func n array astore
+} def
+/radialSH {
+  dup 0 eq {
+    true
+  } {
+    dup 8 eq {
+      false
+    } {
+      2 index dt mul t0 add radialCol
+      2 index dt mul t0 add radialCol colordelta
+    } ifelse
+  } ifelse
+  {
+    1 add 3 1 roll 2 copy add 0.5 mul
+    dup 4 3 roll exch 4 index radialSH
+    exch 3 2 roll radialSH
+  } {
+    pop 2 copy add 0.5 mul dt mul t0 add
+    radialCol sc
+    encl {
+      exch dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      0 360 arc h
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      360 0 arcn h f
+    } {
+      2 copy
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+      a1 a2 arcn
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a2 a1 arcn h
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a1 a2 arc
+      dup dx mul x0 add exch dup dy mul y0 add exch dr mul r0 add
+      a2 a1 arc h f
+    } ifelse
+  } ifelse
+} def
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diff --git a/figures/Schmidt2017/Fig8_laminar_paths.py b/figures/Schmidt2017/Fig8_laminar_paths.py
new file mode 100644
index 0000000000000000000000000000000000000000..f285db45c8713d9f39d8c553ee41d0f01e494638
--- /dev/null
+++ b/figures/Schmidt2017/Fig8_laminar_paths.py
@@ -0,0 +1,455 @@
+import json
+import matplotlib.pyplot as pl
+import networkx as nx
+import numpy as np
+import os
+
+from collections import Counter
+from graph_helpers import all_pairs_bellman_ford_path
+from graph_helpers import create_networkx_area_graph, create_networkx_graph
+from helpers import area_list, area_population_list
+from helpers import datapath
+from itertools import product
+from helpers import structural_gradient, hierarchical_relation, write_out_lw
+from matplotlib import rc_file
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import create_mask
+from plotcolors import myblue
+
+rc_file('plotstyle.rc')
+
+
+"""
+Load data and create MultiAreaModel instance
+"""
+with open(os.path.join(datapath, 'viscortex_processed_data.json'), 'r') as f:
+    proc = json.load(f)
+SLN_completed = proc['SLN_completed']
+SLN_Data_FV91 = proc['SLN_Data_FV91']
+arch_types = proc['architecture_completed']
+
+par = {'g': -4.}
+M = MultiAreaModel(par, theory=True, simulation=False)
+
+gain_matrix = M.K_matrix[:, :-1] * np.absolute(M.J_matrix[:, :-1])
+eig = np.linalg.eig(gain_matrix)
+gain_matrix_rescaled = gain_matrix / np.max(np.real(eig[0]))
+
+
+# Create population-level graph and determine paths and path lengths
+g = create_networkx_graph(gain_matrix_rescaled, M.structure_vec, relative=False)
+paths, path_lengths = all_pairs_bellman_ford_path(g, weight='distance')
+
+# Treat area MDP which does not receive connections from other areas
+for area in area_list:
+    for target_pop in area_population_list(M.structure, area):
+        for source_pop in area_population_list(M.structure, 'MDP'):
+            path_lengths[target_pop][source_pop] = np.inf
+            paths[target_pop][source_pop] = []
+
+path_length_matrix = np.zeros((254, 254))
+for ii, source in enumerate(M.structure_vec):
+    for jj, target in enumerate(M.structure_vec):
+        if target in path_lengths[source]:
+            path_length_matrix[jj][ii] = path_lengths[source][target]
+        else:
+            path_length_matrix[jj][ii] = np.inf
+
+# Create dictionary containing the shortest path between any pair of areas
+CC_paths = {area: {} for area in area_list}
+for target_area in area_list:
+    for source_area in area_list:
+        if target_area != source_area:
+            pop_iter = product(area_population_list(M.structure, target_area),
+                               area_population_list(M.structure, source_area))
+            path_list = []
+            path_length_list = []
+            for tpop, spop in pop_iter:
+                path_list.append(paths[spop][tpop])
+                path_length_list.append(path_lengths[spop][tpop])
+            CC_paths[source_area][target_area] = path_list[np.argmin(
+                path_length_list)]
+
+# Create area-level graph
+K_area = np.zeros((32, 32))
+
+for ii, target in enumerate(area_list):
+    for jj, source in enumerate(area_list):
+        K_area[ii][jj] = M.K_areas[target][source]
+
+area_gain_matrix = K_area * np.ones_like(K_area) * M.J_matrix[0][0]
+eig = np.linalg.eig(area_gain_matrix)
+area_gain_matrix_rescaled = area_gain_matrix / np.max(np.real(eig[0]))
+
+G = create_networkx_area_graph(area_gain_matrix_rescaled, area_list, relative=False)
+gen = nx.all_pairs_dijkstra_path(G, weight='distance')
+G_paths = {p[0]: p[1] for p in gen}
+gen = nx.all_pairs_dijkstra_path_length(G, weight='distance')
+G_path_lengths = {p[0]: p[1] for p in gen}
+for area in G_paths:
+    G_paths[area]['MDP'] = []
+    G_path_lengths[area]['MDP'] = np.inf
+
+
+"""
+Figure layout.
+"""
+
+
+def layout_barplot_axes(ax):
+    """
+    Simple wrapper to set layout of the barplot axes.
+    """
+    ax.spines['right'].set_color('none')
+    ax.spines['left'].set_color('none')
+    ax.spines['top'].set_color('none')
+    ax.yaxis.set_ticks_position("none")
+    ax.xaxis.set_ticks_position("none")
+
+
+ncols = 3
+width = 6.8504
+panel_wh_ratio = 0.7 * (1. + np.sqrt(5)) / 2.  # golden ratio
+
+height = 5.25
+print(width, height)
+pl.rcParams['figure.figsize'] = (width, height)
+
+# ################### Figure layout ####################
+fine_tune_cols = 2
+
+fig = pl.figure()
+
+axes = {}
+
+panel_height = 0.12
+panel_width = 0.27
+panel_bottom = 0.173
+axes['HL'] = pl.axes([0.03, panel_bottom, panel_width, panel_height])
+axes['HZ'] = pl.axes([0.38, panel_bottom, panel_width, panel_height])
+axes['LH'] = pl.axes([0.725, panel_bottom, panel_width, panel_height])
+
+pl.text(0.02, 0.95, r'\bfseries{A}', fontdict={'fontsize': 10.,
+                                               'weight': 'bold',
+                                               'horizontalalignment': 'left',
+                                               'verticalalignment': 'bottom'},
+        transform=fig.transFigure)
+
+pl.text(0.02, 0.63, r'\bfseries{B}', fontdict={'fontsize': 10.,
+                                               'weight': 'bold',
+                                               'horizontalalignment': 'left',
+                                               'verticalalignment': 'bottom'},
+        transform=fig.transFigure)
+
+pl.text(0.02, 0.3, r'\bfseries{C}', fontdict={'fontsize': 10.,
+                                              'weight': 'bold',
+                                              'horizontalalignment': 'left',
+                                              'verticalalignment': 'bottom'},
+        transform=fig.transFigure)
+
+
+"""
+Analyze the paths between areas for different types of connections
+and write out the linewidths for the corresponding tex plots to file.
+
+1. Distinguish using SLN
+"""
+# Differential analysis of hierarchically directed connections (hierarchy_criterion=SLN)
+hierarchy_criterion = 'SLN'
+FF_path_pairs = []
+FB_path_pairs = []
+lateral_path_pairs = []
+
+FF_path_lengths = []
+FB_path_lengths = []
+lateral_path_lengths = []
+
+FF_paths = []
+FB_paths = []
+lateral_paths = []
+
+for target_area in area_list:
+    for source_area in area_list:
+        indices = create_mask(M.structure, target_pops=M.structure[target_area],
+                              source_pops=M.structure[source_area],
+                              target_areas=[target_area],
+                              source_areas=[source_area],
+                              complete_area_list=area_list,
+                              external=False)
+        pM = path_length_matrix[indices]
+        pM = pM.reshape(
+            (len(M.structure[target_area]), len(M.structure[source_area])))
+        imin = np.unravel_index(np.argmin(pM), pM.shape)
+        pair = (M.structure[source_area][imin[1]],
+                M.structure[target_area][imin[0]])
+
+        source_pop = area_population_list(
+            M.structure, source_area)[imin[1]]
+        target_pop = area_population_list(
+            M.structure, target_area)[imin[0]]
+        if (target_area != source_area and
+            len(paths[source_pop][target_pop]) > 0 and source_area in
+                SLN_completed[target_area]):
+            if hierarchical_relation(target_area, source_area, SLN_completed) == 'FB':
+                FB_path_pairs.append(pair)
+                FB_paths.append(paths[source_pop][target_pop])
+                FB_path_lengths.append(
+                    path_lengths[source_pop][target_pop])
+            elif hierarchical_relation(target_area, source_area, SLN_completed) == 'FF':
+                FF_path_pairs.append(pair)
+                FF_paths.append(paths[source_pop][target_pop])
+                FF_path_lengths.append(
+                    path_lengths[source_pop][target_pop])
+            else:
+                lateral_path_pairs.append(pair)
+                lateral_paths.append(paths[source_pop][target_pop])
+                lateral_path_lengths.append(
+                    path_lengths[source_pop][target_pop])
+
+# ## Statistics of path stages
+FF_stages = [len(path) for path in FF_paths]
+FB_stages = [len(path) for path in FB_paths]
+lateral_stages = [len(path) for path in lateral_paths]
+
+max_lw = 0.3  # This is an empirically determined value
+
+C = Counter(FF_path_pairs)
+fn = 'tex/lw_FF_paths_SLN.tex'
+write_out_lw(fn, C)
+
+C = Counter(FB_path_pairs)
+fn = 'tex/lw_FB_paths_SLN.tex'
+write_out_lw(fn, C)
+
+C = Counter(lateral_path_pairs)
+fn = 'tex/lw_lateral_paths_SLN.tex'
+write_out_lw(fn, C)
+
+"""
+2. Use architectural types
+"""
+hierarchy_criterion = 'arch_types'
+# HL = early to late
+# LH = late to early
+# HZ = equal arch. types
+HL_path_pairs = []
+LH_path_pairs = []
+HZ_path_pairs = []
+
+HL_path_lengths = []
+LH_path_lengths = []
+HZ_path_lengths = []
+
+HL_paths = []
+LH_paths = []
+HZ_paths = []
+
+for target_area in area_list:
+    for source_area in area_list:
+        indices = create_mask(M.structure, target_pops=M.structure[target_area],
+                              source_pops=M.structure[source_area],
+                              target_areas=[target_area],
+                              source_areas=[source_area],
+                              complete_area_list=area_list,
+                              external=False)
+        pM = path_length_matrix[indices]
+        pM = pM.reshape(
+            (len(M.structure[target_area]), len(M.structure[source_area])))
+        imin = np.unravel_index(np.argmin(pM), pM.shape)
+        pair = (M.structure[source_area][imin[1]],
+                M.structure[target_area][imin[0]])
+
+        source_pop = area_population_list(
+            M.structure, source_area)[imin[1]]
+        target_pop = area_population_list(
+            M.structure, target_area)[imin[0]]
+        if target_area != source_area and len(paths[source_pop][target_pop]) > 0:
+            if structural_gradient(target_area, source_area, arch_types) == 'LH':
+                LH_path_pairs.append(pair)
+                LH_paths.append(paths[source_pop][target_pop])
+                LH_path_lengths.append(
+                    path_lengths[source_pop][target_pop])
+            elif structural_gradient(target_area, source_area, arch_types) == 'HL':
+                HL_path_pairs.append(pair)
+                HL_paths.append(paths[source_pop][target_pop])
+                HL_path_lengths.append(
+                    path_lengths[source_pop][target_pop])
+            else:
+                HZ_path_pairs.append(pair)
+                HZ_paths.append(paths[source_pop][target_pop])
+                HZ_path_lengths.append(
+                    path_lengths[source_pop][target_pop])
+
+# ## Statistics of path stages
+HL_stages = [len(path) for path in HL_paths]
+LH_stages = [len(path) for path in LH_paths]
+HZ_stages = [len(path) for path in HZ_paths]
+
+C = Counter(HL_path_pairs)
+fn = 'tex/lw_HL_paths.tex'
+write_out_lw(fn, C)
+
+C = Counter(LH_path_pairs)
+fn = 'tex/lw_LH_paths.tex'
+write_out_lw(fn, C)
+
+C = Counter(HZ_path_pairs)
+fn = 'tex/lw_HZ_paths.tex'
+write_out_lw(fn, C)
+
+C = Counter(HL_path_pairs)
+
+"""
+Analyze patterns of indirect paths
+"""
+HL_patterns = []
+LH_patterns = []
+HZ_patterns = []
+l = [HL_patterns, LH_patterns, HZ_patterns]
+l2 = [HL_paths, LH_paths, HZ_paths]
+
+for patterns, path_list in zip(l, l2):
+    for path in path_list:
+        p = [(pop.split('-')[0], pop.split('-')[1]) for pop in path]
+        s = ''
+        area, pop = p.pop(0)
+        s += pop
+        while len(p) > 0:
+            area2, pop2 = p.pop(0)
+            if area == area2:
+                s += '+' + pop2
+            else:
+                s += '-' + pop2
+            area = area2
+        patterns.append(s)
+
+LH_pattern_count = Counter(LH_patterns)
+HL_pattern_count = Counter(HL_patterns)
+HZ_pattern_count = Counter(HZ_patterns)
+
+LH_single_area_patterns = []
+for p in LH_patterns:
+    LH_single_area_patterns += p.split('-')[1:-1]
+
+HL_single_area_patterns = []
+for p in HL_patterns:
+    HL_single_area_patterns += p.split('-')[1:-1]
+
+HZ_single_area_patterns = []
+for p in HZ_patterns:
+    HZ_single_area_patterns += p.split('-')[1:-1]
+
+# Plot values for HL paths
+layout_barplot_axes(axes['HL'])
+
+C = Counter(HL_single_area_patterns)
+counts = list(C.values())
+# Manually define order of pairs to stick to originally published figure
+pairs = ['5E', '23E', '4I+23E', '6E']
+counts = [C[p] for p in pairs]
+# Add 0 value for last pair
+pairs += ['4E+5E']
+counts += [0]
+
+axes['HL'].bar(list(range(len(counts))), counts,
+               color=myblue, edgecolor='none')
+axes['HL'].set_xticks([])
+axes['HL'].set_yticks([])
+axes['HL'].set_ylim((0., np.max(counts)))
+
+# Plot values for HZ paths
+layout_barplot_axes(axes['HZ'])
+
+C = Counter(HZ_single_area_patterns)
+counts = list(C.values())
+# Manually define order of pairs to stick to originally published figure
+pairs = ['5E', '23E', '4I+23E', '6E']
+counts = [C[p] for p in pairs]
+# Add 0 value for last pair
+pairs += ['4E+5E']
+counts += [0]
+
+axes['HZ'].bar(list(range(len(counts))), counts,
+               color=myblue, edgecolor='none')
+axes['HZ'].set_xticks([])
+axes['HZ'].set_yticks([])
+axes['HZ'].set_ylim((0., np.max(counts)))
+
+# Plot values for LH paths
+layout_barplot_axes(axes['LH'])
+
+C = Counter(LH_single_area_patterns)
+counts = list(C.values())
+# Manually define order of pairs to stick to originally published figure
+pairs = ['5E', '23E', '4I+23E', '6E']
+counts = [C[p] for p in pairs]
+
+axes['LH'].bar(list(range(len(counts))), counts,
+               color=myblue, edgecolor='none')
+axes['LH'].set_xticks([])
+axes['LH'].set_yticks([])
+axes['LH'].set_ylim((0., np.max(counts)))
+
+
+"""
+Save figure and convert to eps
+"""
+pl.savefig('Fig8_laminar_paths_mpl.pdf')
+os.system('pdftops -eps Fig8_laminar_paths_mpl.pdf')
+
+
+"""
+Create tex figures
+"""
+os.chdir('tex/')
+os.system('bash compile_tex.sh')
+os.chdir('../')
+
+
+"""
+Finally, merge the tex-created figures into the main figure.
+"""
+import pyx
+
+c = pyx.canvas.canvas()
+# c.text(0.4, 12.3,r'\textbf{\textsf{A}}')
+# c.text(6., 12.3,r'\textbf{\textsf{B}}')
+
+c.insert(pyx.epsfile.epsfile(0., 0., "Fig8_laminar_paths_mpl.eps", width=17.3))
+
+
+c.insert(pyx.epsfile.epsfile(0.2, 9., "tex/FF_paths.eps", width=5.))
+c.insert(pyx.epsfile.epsfile(6.2, 9., "tex/lateral_paths.eps", width=5.))
+c.insert(pyx.epsfile.epsfile(12.2, 9., "tex/FB_paths.eps", width=5.))
+
+c.insert(pyx.epsfile.epsfile(0.2, 4.8, "tex/HL_paths.eps", width=5.))
+c.insert(pyx.epsfile.epsfile(6.2, 4.8, "tex/HZ_paths.eps", width=5.))
+c.insert(pyx.epsfile.epsfile(12.2, 4.8, "tex/LH_paths.eps", width=5.))
+
+c.insert(pyx.epsfile.epsfile(0.53, 0.8, "tex/indirect_5E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    1.45, 0.8, "tex/indirect_23E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    2.42, 0.8, "tex/indirect_4E23E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(3.35, 0.8, "tex/indirect_6E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    4.3, 0.8, "tex/indirect_4E5E.eps", width=0.75))
+
+c.insert(pyx.epsfile.epsfile(6.57, 0.8, "tex/indirect_5E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    7.505, 0.8, "tex/indirect_23E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    8.45, 0.8, "tex/indirect_4E23E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    9.375, 0.8, "tex/indirect_6E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    10.3, 0.8, "tex/indirect_4E5E.eps", width=0.75))
+
+c.insert(pyx.epsfile.epsfile(12.6, 0.8, "tex/indirect_5E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    13.83, 0.8, "tex/indirect_23E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(
+    14.97, 0.8, "tex/indirect_4E23E.eps", width=0.75))
+c.insert(pyx.epsfile.epsfile(16.2, 0.8, "tex/indirect_6E.eps", width=0.75))
+
+c.writeEPSfile("Fig8_laminar_paths.eps")
diff --git a/figures/Schmidt2017/README.md b/figures/Schmidt2017/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..f0c8ae445577d291f2d7e6200421f177081f84bc
--- /dev/null
+++ b/figures/Schmidt2017/README.md
@@ -0,0 +1,4 @@
+This folder contains the scripts to reproduce all figures of Schmidt M, Bakker R, Hilgetag C-C, Diesmann M and van Albada SJ: "Multi-scale account of the network structure of macaque visual cortex", Brain Structure and Function (2017) [https://doi.org/10.1007/s00429-017-1554-4](https://doi.org/10.1007/s00429-017-1554-4)
+
+Please note: Figures 2, 5, and 8 show slight deviations from the published figures in the paper. The published figures 2 and 5 lack few data points. This error was unintentionally introduced during the review process. Importantly, the presented fits are identical in the correct figures in this repository and in the manuscript. These deviations thus do not affect the scientific conclusions.
+
diff --git a/figures/Schmidt2017/Snakefile b/figures/Schmidt2017/Snakefile
new file mode 100644
index 0000000000000000000000000000000000000000..1b5d22ec9b09a2085257b2275bca23a2cedcbfec
--- /dev/null
+++ b/figures/Schmidt2017/Snakefile
@@ -0,0 +1,63 @@
+from helpers import datapath
+
+rule all:
+    input:
+        'Fig1_model_overview.eps',
+        'Fig2_anatomy.eps',
+        'Fig3_construction.eps',
+        'Fig4_connectivity.eps',
+        'Fig5_cc_laminar_pattern.eps',
+        'Fig6_connectivity_measures.eps',
+        'Fig7_community_structure.eps',
+        'Fig8_laminar_paths.eps'
+
+rule VisualCortexData:
+    output:
+        os.path.join(datapath, 'viscortex_processed_data.json')
+    shell:
+        'python ../../data_multiarea/VisualCortex_Data.py'
+
+rule Fig2_anatomy:
+    output:
+        'Fig2_anatomy.eps'
+    input:
+        os.path.join(datapath, 'viscortex_processed_data.json'),
+        os.path.join(datapath, 'viscortex_raw_data.json')
+    shell:
+        'python3 Fig2_anatomy.py'
+
+rule Fig3_construction:
+    output:
+        'Fig3_construction.eps'
+    shell:
+        'python3 Fig3_construction.py'
+
+rule Fig4_connectivity:
+    output:
+        'Fig4_connectivity.eps'
+    shell:
+        'python3 Fig4_connectivity.py'
+
+rule Fig5_cc_laminar_pattern:
+    output:
+        'Fig5_cc_laminar_pattern.eps'
+    shell:
+        'python3 Fig5_cc_laminar_pattern.py'
+
+rule Fig6_connectivity_measures:
+    output:
+        'Fig6_connectivity_measures.eps'
+    shell:
+        'python3 Fig6_connectivity_measures.py'
+
+rule Fig7_community_structure:
+    output:
+        'Fig7_community_structure.eps'
+    shell:
+        'python3 Fig7_community_structure.py'
+
+rule Fig8_laminar_paths:
+    output:
+        'Fig8_laminar_paths.eps'
+    shell:
+        'python3 Fig8_laminar_paths.py'
diff --git a/figures/Schmidt2017/cmap.py b/figures/Schmidt2017/cmap.py
new file mode 100644
index 0000000000000000000000000000000000000000..62d9c23c629f63cbc96592f4b63a6bde90494973
--- /dev/null
+++ b/figures/Schmidt2017/cmap.py
@@ -0,0 +1,263 @@
+from matplotlib.colors import LinearSegmentedColormap
+"""
+Manual implementation of the inferno colormap
+which is part of matplotlib since version 1.5
+"""
+cm_data = [[1.46159096e-03,   4.66127766e-04,   1.38655200e-02],
+           [2.26726368e-03,   1.26992553e-03,   1.85703520e-02],
+           [3.29899092e-03,   2.24934863e-03,   2.42390508e-02],
+           [4.54690615e-03,   3.39180156e-03,   3.09092475e-02],
+           [6.00552565e-03,   4.69194561e-03,   3.85578980e-02],
+           [7.67578856e-03,   6.13611626e-03,   4.68360336e-02],
+           [9.56051094e-03,   7.71344131e-03,   5.51430756e-02],
+           [1.16634769e-02,   9.41675403e-03,   6.34598080e-02],
+           [1.39950388e-02,   1.12247138e-02,   7.18616890e-02],
+           [1.65605595e-02,   1.31362262e-02,   8.02817951e-02],
+           [1.93732295e-02,   1.51325789e-02,   8.87668094e-02],
+           [2.24468865e-02,   1.71991484e-02,   9.73274383e-02],
+           [2.57927373e-02,   1.93306298e-02,   1.05929835e-01],
+           [2.94324251e-02,   2.15030771e-02,   1.14621328e-01],
+           [3.33852235e-02,   2.37024271e-02,   1.23397286e-01],
+           [3.76684211e-02,   2.59207864e-02,   1.32232108e-01],
+           [4.22525554e-02,   2.81385015e-02,   1.41140519e-01],
+           [4.69146287e-02,   3.03236129e-02,   1.50163867e-01],
+           [5.16437624e-02,   3.24736172e-02,   1.59254277e-01],
+           [5.64491009e-02,   3.45691867e-02,   1.68413539e-01],
+           [6.13397200e-02,   3.65900213e-02,   1.77642172e-01],
+           [6.63312620e-02,   3.85036268e-02,   1.86961588e-01],
+           [7.14289181e-02,   4.02939095e-02,   1.96353558e-01],
+           [7.66367560e-02,   4.19053329e-02,   2.05798788e-01],
+           [8.19620773e-02,   4.33278666e-02,   2.15289113e-01],
+           [8.74113897e-02,   4.45561662e-02,   2.24813479e-01],
+           [9.29901526e-02,   4.55829503e-02,   2.34357604e-01],
+           [9.87024972e-02,   4.64018731e-02,   2.43903700e-01],
+           [1.04550936e-01,   4.70080541e-02,   2.53430300e-01],
+           [1.10536084e-01,   4.73986708e-02,   2.62912235e-01],
+           [1.16656423e-01,   4.75735920e-02,   2.72320803e-01],
+           [1.22908126e-01,   4.75360183e-02,   2.81624170e-01],
+           [1.29284984e-01,   4.72930838e-02,   2.90788012e-01],
+           [1.35778450e-01,   4.68563678e-02,   2.99776404e-01],
+           [1.42377819e-01,   4.62422566e-02,   3.08552910e-01],
+           [1.49072957e-01,   4.54676444e-02,   3.17085139e-01],
+           [1.55849711e-01,   4.45588056e-02,   3.25338414e-01],
+           [1.62688939e-01,   4.35542881e-02,   3.33276678e-01],
+           [1.69575148e-01,   4.24893149e-02,   3.40874188e-01],
+           [1.76493202e-01,   4.14017089e-02,   3.48110606e-01],
+           [1.83428775e-01,   4.03288858e-02,   3.54971391e-01],
+           [1.90367453e-01,   3.93088888e-02,   3.61446945e-01],
+           [1.97297425e-01,   3.84001825e-02,   3.67534629e-01],
+           [2.04209298e-01,   3.76322609e-02,   3.73237557e-01],
+           [2.11095463e-01,   3.70296488e-02,   3.78563264e-01],
+           [2.17948648e-01,   3.66146049e-02,   3.83522415e-01],
+           [2.24762908e-01,   3.64049901e-02,   3.88128944e-01],
+           [2.31538148e-01,   3.64052511e-02,   3.92400150e-01],
+           [2.38272961e-01,   3.66209949e-02,   3.96353388e-01],
+           [2.44966911e-01,   3.70545017e-02,   4.00006615e-01],
+           [2.51620354e-01,   3.77052832e-02,   4.03377897e-01],
+           [2.58234265e-01,   3.85706153e-02,   4.06485031e-01],
+           [2.64809649e-01,   3.96468666e-02,   4.09345373e-01],
+           [2.71346664e-01,   4.09215821e-02,   4.11976086e-01],
+           [2.77849829e-01,   4.23528741e-02,   4.14392106e-01],
+           [2.84321318e-01,   4.39325787e-02,   4.16607861e-01],
+           [2.90763373e-01,   4.56437598e-02,   4.18636756e-01],
+           [2.97178251e-01,   4.74700293e-02,   4.20491164e-01],
+           [3.03568182e-01,   4.93958927e-02,   4.22182449e-01],
+           [3.09935342e-01,   5.14069729e-02,   4.23720999e-01],
+           [3.16281835e-01,   5.34901321e-02,   4.25116277e-01],
+           [3.22609671e-01,   5.56335178e-02,   4.26376869e-01],
+           [3.28920763e-01,   5.78265505e-02,   4.27510546e-01],
+           [3.35216916e-01,   6.00598734e-02,   4.28524320e-01],
+           [3.41499828e-01,   6.23252772e-02,   4.29424503e-01],
+           [3.47771086e-01,   6.46156100e-02,   4.30216765e-01],
+           [3.54032169e-01,   6.69246832e-02,   4.30906186e-01],
+           [3.60284449e-01,   6.92471753e-02,   4.31497309e-01],
+           [3.66529195e-01,   7.15785403e-02,   4.31994185e-01],
+           [3.72767575e-01,   7.39149211e-02,   4.32400419e-01],
+           [3.79000659e-01,   7.62530701e-02,   4.32719214e-01],
+           [3.85228383e-01,   7.85914864e-02,   4.32954973e-01],
+           [3.91452659e-01,   8.09267058e-02,   4.33108763e-01],
+           [3.97674379e-01,   8.32568129e-02,   4.33182647e-01],
+           [4.03894278e-01,   8.55803445e-02,   4.33178526e-01],
+           [4.10113015e-01,   8.78961593e-02,   4.33098056e-01],
+           [4.16331169e-01,   9.02033992e-02,   4.32942678e-01],
+           [4.22549249e-01,   9.25014543e-02,   4.32713635e-01],
+           [4.28767696e-01,   9.47899342e-02,   4.32411996e-01],
+           [4.34986885e-01,   9.70686417e-02,   4.32038673e-01],
+           [4.41207124e-01,   9.93375510e-02,   4.31594438e-01],
+           [4.47428382e-01,   1.01597079e-01,   4.31080497e-01],
+           [4.53650614e-01,   1.03847716e-01,   4.30497898e-01],
+           [4.59874623e-01,   1.06089165e-01,   4.29845789e-01],
+           [4.66100494e-01,   1.08321923e-01,   4.29124507e-01],
+           [4.72328255e-01,   1.10546584e-01,   4.28334320e-01],
+           [4.78557889e-01,   1.12763831e-01,   4.27475431e-01],
+           [4.84789325e-01,   1.14974430e-01,   4.26547991e-01],
+           [4.91022448e-01,   1.17179219e-01,   4.25552106e-01],
+           [4.97257069e-01,   1.19379132e-01,   4.24487908e-01],
+           [5.03492698e-01,   1.21575414e-01,   4.23356110e-01],
+           [5.09729541e-01,   1.23768654e-01,   4.22155676e-01],
+           [5.15967304e-01,   1.25959947e-01,   4.20886594e-01],
+           [5.22205646e-01,   1.28150439e-01,   4.19548848e-01],
+           [5.28444192e-01,   1.30341324e-01,   4.18142411e-01],
+           [5.34682523e-01,   1.32533845e-01,   4.16667258e-01],
+           [5.40920186e-01,   1.34729286e-01,   4.15123366e-01],
+           [5.47156706e-01,   1.36928959e-01,   4.13510662e-01],
+           [5.53391649e-01,   1.39134147e-01,   4.11828882e-01],
+           [5.59624442e-01,   1.41346265e-01,   4.10078028e-01],
+           [5.65854477e-01,   1.43566769e-01,   4.08258132e-01],
+           [5.72081108e-01,   1.45797150e-01,   4.06369246e-01],
+           [5.78303656e-01,   1.48038934e-01,   4.04411444e-01],
+           [5.84521407e-01,   1.50293679e-01,   4.02384829e-01],
+           [5.90733615e-01,   1.52562977e-01,   4.00289528e-01],
+           [5.96939751e-01,   1.54848232e-01,   3.98124897e-01],
+           [6.03138930e-01,   1.57151161e-01,   3.95891308e-01],
+           [6.09330184e-01,   1.59473549e-01,   3.93589349e-01],
+           [6.15512627e-01,   1.61817111e-01,   3.91219295e-01],
+           [6.21685340e-01,   1.64183582e-01,   3.88781456e-01],
+           [6.27847374e-01,   1.66574724e-01,   3.86276180e-01],
+           [6.33997746e-01,   1.68992314e-01,   3.83703854e-01],
+           [6.40135447e-01,   1.71438150e-01,   3.81064906e-01],
+           [6.46259648e-01,   1.73913876e-01,   3.78358969e-01],
+           [6.52369348e-01,   1.76421271e-01,   3.75586209e-01],
+           [6.58463166e-01,   1.78962399e-01,   3.72748214e-01],
+           [6.64539964e-01,   1.81539111e-01,   3.69845599e-01],
+           [6.70598572e-01,   1.84153268e-01,   3.66879025e-01],
+           [6.76637795e-01,   1.86806728e-01,   3.63849195e-01],
+           [6.82656407e-01,   1.89501352e-01,   3.60756856e-01],
+           [6.88653158e-01,   1.92238994e-01,   3.57602797e-01],
+           [6.94626769e-01,   1.95021500e-01,   3.54387853e-01],
+           [7.00575937e-01,   1.97850703e-01,   3.51112900e-01],
+           [7.06499709e-01,   2.00728196e-01,   3.47776863e-01],
+           [7.12396345e-01,   2.03656029e-01,   3.44382594e-01],
+           [7.18264447e-01,   2.06635993e-01,   3.40931208e-01],
+           [7.24102613e-01,   2.09669834e-01,   3.37423766e-01],
+           [7.29909422e-01,   2.12759270e-01,   3.33861367e-01],
+           [7.35683432e-01,   2.15905976e-01,   3.30245147e-01],
+           [7.41423185e-01,   2.19111589e-01,   3.26576275e-01],
+           [7.47127207e-01,   2.22377697e-01,   3.22855952e-01],
+           [7.52794009e-01,   2.25705837e-01,   3.19085410e-01],
+           [7.58422090e-01,   2.29097492e-01,   3.15265910e-01],
+           [7.64009940e-01,   2.32554083e-01,   3.11398734e-01],
+           [7.69556038e-01,   2.36076967e-01,   3.07485188e-01],
+           [7.75058888e-01,   2.39667435e-01,   3.03526312e-01],
+           [7.80517023e-01,   2.43326720e-01,   2.99522665e-01],
+           [7.85928794e-01,   2.47055968e-01,   2.95476756e-01],
+           [7.91292674e-01,   2.50856232e-01,   2.91389943e-01],
+           [7.96607144e-01,   2.54728485e-01,   2.87263585e-01],
+           [8.01870689e-01,   2.58673610e-01,   2.83099033e-01],
+           [8.07081807e-01,   2.62692401e-01,   2.78897629e-01],
+           [8.12239008e-01,   2.66785558e-01,   2.74660698e-01],
+           [8.17340818e-01,   2.70953688e-01,   2.70389545e-01],
+           [8.22385784e-01,   2.75197300e-01,   2.66085445e-01],
+           [8.27372474e-01,   2.79516805e-01,   2.61749643e-01],
+           [8.32299481e-01,   2.83912516e-01,   2.57383341e-01],
+           [8.37165425e-01,   2.88384647e-01,   2.52987700e-01],
+           [8.41968959e-01,   2.92933312e-01,   2.48563825e-01],
+           [8.46708768e-01,   2.97558528e-01,   2.44112767e-01],
+           [8.51383572e-01,   3.02260213e-01,   2.39635512e-01],
+           [8.55992130e-01,   3.07038188e-01,   2.35132978e-01],
+           [8.60533241e-01,   3.11892183e-01,   2.30606009e-01],
+           [8.65005747e-01,   3.16821833e-01,   2.26055368e-01],
+           [8.69408534e-01,   3.21826685e-01,   2.21481734e-01],
+           [8.73740530e-01,   3.26906201e-01,   2.16885699e-01],
+           [8.78000715e-01,   3.32059760e-01,   2.12267762e-01],
+           [8.82188112e-01,   3.37286663e-01,   2.07628326e-01],
+           [8.86301795e-01,   3.42586137e-01,   2.02967696e-01],
+           [8.90340885e-01,   3.47957340e-01,   1.98286080e-01],
+           [8.94304553e-01,   3.53399363e-01,   1.93583583e-01],
+           [8.98192017e-01,   3.58911240e-01,   1.88860212e-01],
+           [9.02002544e-01,   3.64491949e-01,   1.84115876e-01],
+           [9.05735448e-01,   3.70140419e-01,   1.79350388e-01],
+           [9.09390090e-01,   3.75855533e-01,   1.74563472e-01],
+           [9.12965874e-01,   3.81636138e-01,   1.69754764e-01],
+           [9.16462251e-01,   3.87481044e-01,   1.64923826e-01],
+           [9.19878710e-01,   3.93389034e-01,   1.60070152e-01],
+           [9.23214783e-01,   3.99358867e-01,   1.55193185e-01],
+           [9.26470039e-01,   4.05389282e-01,   1.50292329e-01],
+           [9.29644083e-01,   4.11479007e-01,   1.45366973e-01],
+           [9.32736555e-01,   4.17626756e-01,   1.40416519e-01],
+           [9.35747126e-01,   4.23831237e-01,   1.35440416e-01],
+           [9.38675494e-01,   4.30091162e-01,   1.30438175e-01],
+           [9.41521384e-01,   4.36405243e-01,   1.25409440e-01],
+           [9.44284543e-01,   4.42772199e-01,   1.20354038e-01],
+           [9.46964741e-01,   4.49190757e-01,   1.15272059e-01],
+           [9.49561766e-01,   4.55659658e-01,   1.10163947e-01],
+           [9.52075421e-01,   4.62177656e-01,   1.05030614e-01],
+           [9.54505523e-01,   4.68743522e-01,   9.98735931e-02],
+           [9.56851903e-01,   4.75356048e-01,   9.46952268e-02],
+           [9.59114397e-01,   4.82014044e-01,   8.94989073e-02],
+           [9.61292850e-01,   4.88716345e-01,   8.42893891e-02],
+           [9.63387110e-01,   4.95461806e-01,   7.90731907e-02],
+           [9.65397031e-01,   5.02249309e-01,   7.38591143e-02],
+           [9.67322465e-01,   5.09077761e-01,   6.86589199e-02],
+           [9.69163264e-01,   5.15946092e-01,   6.34881971e-02],
+           [9.70919277e-01,   5.22853259e-01,   5.83674890e-02],
+           [9.72590351e-01,   5.29798246e-01,   5.33237243e-02],
+           [9.74176327e-01,   5.36780059e-01,   4.83920090e-02],
+           [9.75677038e-01,   5.43797733e-01,   4.36177922e-02],
+           [9.77092313e-01,   5.50850323e-01,   3.90500131e-02],
+           [9.78421971e-01,   5.57936911e-01,   3.49306227e-02],
+           [9.79665824e-01,   5.65056600e-01,   3.14091591e-02],
+           [9.80823673e-01,   5.72208516e-01,   2.85075931e-02],
+           [9.81895311e-01,   5.79391803e-01,   2.62497353e-02],
+           [9.82880522e-01,   5.86605627e-01,   2.46613416e-02],
+           [9.83779081e-01,   5.93849168e-01,   2.37702263e-02],
+           [9.84590755e-01,   6.01121626e-01,   2.36063833e-02],
+           [9.85315301e-01,   6.08422211e-01,   2.42021174e-02],
+           [9.85952471e-01,   6.15750147e-01,   2.55921853e-02],
+           [9.86502013e-01,   6.23104667e-01,   2.78139496e-02],
+           [9.86963670e-01,   6.30485011e-01,   3.09075459e-02],
+           [9.87337182e-01,   6.37890424e-01,   3.49160639e-02],
+           [9.87622296e-01,   6.45320152e-01,   3.98857472e-02],
+           [9.87818759e-01,   6.52773439e-01,   4.55808037e-02],
+           [9.87926330e-01,   6.60249526e-01,   5.17503867e-02],
+           [9.87944783e-01,   6.67747641e-01,   5.83286889e-02],
+           [9.87873910e-01,   6.75267000e-01,   6.52570167e-02],
+           [9.87713535e-01,   6.82806802e-01,   7.24892330e-02],
+           [9.87463516e-01,   6.90366218e-01,   7.99897176e-02],
+           [9.87123759e-01,   6.97944391e-01,   8.77314215e-02],
+           [9.86694229e-01,   7.05540424e-01,   9.56941797e-02],
+           [9.86174970e-01,   7.13153375e-01,   1.03863324e-01],
+           [9.85565739e-01,   7.20782460e-01,   1.12228756e-01],
+           [9.84865203e-01,   7.28427497e-01,   1.20784651e-01],
+           [9.84075129e-01,   7.36086521e-01,   1.29526579e-01],
+           [9.83195992e-01,   7.43758326e-01,   1.38453063e-01],
+           [9.82228463e-01,   7.51441596e-01,   1.47564573e-01],
+           [9.81173457e-01,   7.59134892e-01,   1.56863224e-01],
+           [9.80032178e-01,   7.66836624e-01,   1.66352544e-01],
+           [9.78806183e-01,   7.74545028e-01,   1.76037298e-01],
+           [9.77497453e-01,   7.82258138e-01,   1.85923357e-01],
+           [9.76108474e-01,   7.89973753e-01,   1.96017589e-01],
+           [9.74637842e-01,   7.97691563e-01,   2.06331925e-01],
+           [9.73087939e-01,   8.05409333e-01,   2.16876839e-01],
+           [9.71467822e-01,   8.13121725e-01,   2.27658046e-01],
+           [9.69783146e-01,   8.20825143e-01,   2.38685942e-01],
+           [9.68040817e-01,   8.28515491e-01,   2.49971582e-01],
+           [9.66242589e-01,   8.36190976e-01,   2.61533898e-01],
+           [9.64393924e-01,   8.43848069e-01,   2.73391112e-01],
+           [9.62516656e-01,   8.51476340e-01,   2.85545675e-01],
+           [9.60625545e-01,   8.59068716e-01,   2.98010219e-01],
+           [9.58720088e-01,   8.66624355e-01,   3.10820466e-01],
+           [9.56834075e-01,   8.74128569e-01,   3.23973947e-01],
+           [9.54997177e-01,   8.81568926e-01,   3.37475479e-01],
+           [9.53215092e-01,   8.88942277e-01,   3.51368713e-01],
+           [9.51546225e-01,   8.96225909e-01,   3.65627005e-01],
+           [9.50018481e-01,   9.03409063e-01,   3.80271225e-01],
+           [9.48683391e-01,   9.10472964e-01,   3.95289169e-01],
+           [9.47594362e-01,   9.17399053e-01,   4.10665194e-01],
+           [9.46809163e-01,   9.24168246e-01,   4.26373236e-01],
+           [9.46391536e-01,   9.30760752e-01,   4.42367495e-01],
+           [9.46402951e-01,   9.37158971e-01,   4.58591507e-01],
+           [9.46902568e-01,   9.43347775e-01,   4.74969778e-01],
+           [9.47936825e-01,   9.49317522e-01,   4.91426053e-01],
+           [9.49544830e-01,   9.55062900e-01,   5.07859649e-01],
+           [9.51740304e-01,   9.60586693e-01,   5.24203026e-01],
+           [9.54529281e-01,   9.65895868e-01,   5.40360752e-01],
+           [9.57896053e-01,   9.71003330e-01,   5.56275090e-01],
+           [9.61812020e-01,   9.75924241e-01,   5.71925382e-01],
+           [9.66248822e-01,   9.80678193e-01,   5.87205773e-01],
+           [9.71161622e-01,   9.85282161e-01,   6.02154330e-01],
+           [9.76510983e-01,   9.89753437e-01,   6.16760413e-01],
+           [9.82257307e-01,   9.94108844e-01,   6.31017009e-01],
+           [9.88362068e-01,   9.98364143e-01,   6.44924005e-01]]
+
+cm_inferno = LinearSegmentedColormap.from_list(__file__, cm_data)
diff --git a/figures/Schmidt2017/graph_helpers.py b/figures/Schmidt2017/graph_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..76c3038782302b99e88588805f6ff53d26a3b1b4
--- /dev/null
+++ b/figures/Schmidt2017/graph_helpers.py
@@ -0,0 +1,366 @@
+import copy
+import igraph
+import networkx as nx
+import numpy as np
+import os
+
+
+def perform_map_equation(graph_matrix, node_list, filename=''):
+    """
+    Perform the map equation of
+    Rosvall M, Axelsson D, Bergstrom CT (2009) The map equation.
+    Eur Phys J Spec Top 178(1):13–23
+
+    Parameters
+    ----------
+    graph_matrix : numpy.ndarray
+        Matrix of edge weights.
+    node_list : array-like
+        List of vertex names.
+        The ordering of vertices has to be consistent in
+        the graph_matrix and node_list.
+    filename : str
+        Output file name without ending.
+
+    Returns
+    -------
+    map_equation : numpy.ndarray
+        List of cluster indices
+    map_equation_areas: numpy.ndarray
+        List of areas in the same order as in
+        map_equation
+    index : numpy.ndarray
+        Index to map node_list to map_equation_areas
+    """
+    base_dir = os.getcwd()
+    """
+    1. write out graph to file for map equation
+    """
+    net_fn = '{}.net'.format(filename)
+    # nodes
+    f = open(net_fn, 'w')
+    f.write('*Vertices ' + str(len(node_list)) + '\n')
+    for ii, area in enumerate(node_list):
+        f.write(str(ii + 1) + ' "' + area + '"\n')
+
+    # Determine number of vertices in the network
+    k = np.where(graph_matrix != 0)[0].size
+    f.write('*Arcs ' + str(k) + '\n')
+
+    # edges
+    for ii in range(len(node_list)):
+        for jj in range(len(node_list)):
+            if graph_matrix[ii][jj] > 0.:
+                f.write(str(jj + 1) + ' ' + str(ii + 1) +
+                        ' ' + str(graph_matrix[ii][jj]) + '\n')
+    f.close()
+
+    """
+    2. Execute map equation algorithm
+    """
+    os.chdir('/home/schmidt/opt/infomap')
+    os.system('./Infomap --directed --clu --map --verbose ' +
+              base_dir + '/' + net_fn + ' ' + base_dir)
+
+    os.chdir(base_dir)
+
+    """
+    3. Parse results of map equation
+    """
+    map_fn = '{}.map'.format(filename)
+    f = open(map_fn, 'r')
+    line = ''
+    while '*Nodes' not in line:
+        line = f.readline()
+
+    line = f.readline()
+    map_equation = []
+    map_equation_areas = []
+    while "*Links" not in line:
+        map_equation.append(int(line.split(':')[0]))
+        map_equation_areas.append(line.split('"')[1])
+        line = f.readline()
+
+    # sort map_equation lists
+    index = []
+    for ii in range(32):
+        index.append(map_equation_areas.index(node_list[ii]))
+
+    map_equation = np.array(map_equation)
+
+    return map_equation, map_equation_areas, index
+
+
+def modularity(g, membership):
+    """
+    Compute modularity for a given igraph object
+    and cluster memberships.
+
+    See Schmidt, M., Bakker, R., Hilgetag, C.C. et al.
+    Brain Struct Funct (2017). https://doi.org/10.1007/s00429-017-1554-4
+    for a derivation.
+
+    Parameters
+    ----------
+    g : igraph.Graph
+        Graph object
+    membership : array-like
+        List of cluster memberships.
+
+    Returns
+    -------
+    Q : float
+        Modularity value.
+    """
+    m = np.sum(g.es['weight'])
+
+    Q = 0.
+    for ii, area in enumerate(g.vs):
+        k_out = np.sum(g.es.select(_source=ii)['weight'])
+        for jj, area2 in enumerate(g.vs):
+            k_in = np.sum(g.es.select(_target=jj)['weight'])
+            if membership[ii] == membership[jj]:
+                weight = g.es.select(_source=ii, _target=jj)['weight']
+                if len(weight) > 0:
+                    Q += weight[0] - k_out * k_in / m
+                else:
+                    Q += 0. - k_out * k_in / m
+    Q /= m
+    return Q
+
+
+def all_pairs_bellman_ford_path(g, weight='distance'):
+    """
+    Compute the shorted paths between nodes of a graph
+    using the Bellman-Ford algorithm.
+    See Schmidt, M., Bakker, R., Hilgetag, C.C. et al.
+    Brain Struct Funct (2017). https://doi.org/10.1007/s00429-017-1554-4
+    for details.
+
+    Parameters
+    ----------
+    g : networkx.graph
+        Graph object.
+    weight : str
+        Edge attributes used for path calculation.
+        Defaults to 'weight'.
+
+    Returns
+    -------
+    paths : dict
+        Dictionary of all shortest paths.
+    path_lengths: dict
+        Dictionary of all shortest path lengths.
+    """
+    sources = g.nodes()
+    predecessors = {}
+    path_lengths = {}
+    for node in sources:
+        res = nx.bellman_ford_predecessor_and_distance(g, node, weight=weight)
+        predecessors[node] = res[0]
+        path_lengths[node] = res[1]
+    paths = {}
+    for source in sources:
+        paths[source] = {}
+        for target in predecessors[source]:
+            if target != source:
+                path = []
+                predec = target
+                while predec != source:
+                    path.insert(0, predec)
+                    predec = predecessors[source][predec][0]
+                path.insert(0, predec)
+            else:
+                path = [source]
+            paths[source][target] = path
+    return paths, path_lengths
+
+
+def plot_clustered_graph(g, g_abs, membership, filename, center_of_masses, colors):
+    """
+    Create a plot of a given graph with nodes arranged in clusters.
+
+    Parameters
+    ----------
+    g : igraph.Graph
+        Graph to be plotted
+    membership : list
+        List of associated clusters for each area
+    filename : str
+        Name of file to save the plot.
+    center_of_masses : list
+        List of 2D cooordinates specifying the center of mass
+        of each cluster
+    colors : list
+        List of colors in hexadecimal format specifying the color
+        of each cluster
+    """
+
+    # Copy the graphs for further modification necessary for plotting
+    gplot = g.copy()
+    gplot_abs = g_abs.copy()
+    gcopy = g.copy()
+    gplot.delete_edges(None)
+    gplot_abs.delete_edges(None)
+    edges = []
+    for edge in g.es():
+        if (membership[edge.tuple[0]] != membership[edge.tuple[1]] or
+            len(g.es.select(_source=edge.tuple[0],
+                            _target=edge.tuple[1])['weight']) == 0):
+            edges.append(edge)
+
+    gcopy.delete_edges(edges)
+
+    # Inter-cluster connections are gray
+    # Intra-cluster connections are black
+    edges_colors = []
+    for edge_id, edge in enumerate(g.es()):
+        if membership[edge.tuple[0]] != membership[edge.tuple[1]] and edge['weight'] > 0.001:
+            gplot.add_edge(edge.tuple[0], edge.tuple[1], weight=edge['weight'])
+            gplot_abs.add_edge(edge.tuple[0], edge.tuple[1],
+                               weight=g_abs.es()[edge_id]['weight'])
+            edges_colors.append("gray")
+    for edge_id, edge in enumerate(g.es()):
+        if membership[edge.tuple[0]] == membership[edge.tuple[1]] and edge['weight'] > 0.001:
+            gplot.add_edge(edge.tuple[0], edge.tuple[1], weight=edge['weight'])
+            gplot_abs.add_edge(edge.tuple[0], edge.tuple[1],
+                               weight=g_abs.es()[edge_id]['weight'])
+            edges_colors.append("black")
+
+    # Inside cluster, distribute areas using a force-directed algorithm
+    # by Kamada and Kawai, 1989
+    layout_params = {'maxy': list(range(32))}
+    layout = gcopy.layout("kk", **layout_params)
+    coords = np.array(copy.copy(layout.coords))
+    # For better visibility, place clusters at defined positions
+    for ii in range(np.max(membership)):
+        coo = coords[np.where(membership == ii + 1)]
+        com = np.mean(coo, axis=0)
+        coo = np.array(coo) - (com - center_of_masses[ii])
+        coords[np.where(membership == ii + 1)] = coo
+    # Define layout parameters
+    gplot.es["color"] = edges_colors
+    visual_style = {}
+    visual_style["vertex_label_dist"] = 0
+    visual_style["vertex_shape"] = "circle"
+    visual_style["edge_color"] = gplot.es["color"]
+    # visual_style["bbox"] = (4000, 2500)
+    visual_style["vertex_size"] = 40 * 0.48
+    visual_style["layout"] = list(coords)
+    visual_style["bbox"] = (493, 380)
+    visual_style["margin"] = 22.
+    visual_style["vertex_label"] = gplot.vs["name"]
+    visual_style["vertex_label_size"] = 7.
+    visual_style["edge_arrow_width"] = 2.
+    visual_style["vertex_label_color"] = '#ffffff'
+    visual_style["edge_arrow_size"] = 0.5
+
+    weights_transformed = np.log(gplot_abs.es['weight']) * 0.48
+    visual_style["edge_width"] = weights_transformed
+
+    for vertex in gplot.vs():
+        vertex["label"] = vertex.index
+    if membership is not None:
+        for vertex in gplot.vs():
+            vertex["color"] = colors[membership[vertex.index] - 1]
+        visual_style["vertex_color"] = gplot.vs["color"]
+
+    # use igraph's plot function to finally plot the graph and save to file
+    igraph.plot(gplot, filename, **visual_style)
+
+
+def create_graph(matrix, area_list):
+    """
+    Create igraph.Graph instance from a given connectivity matrix.
+
+    Parameters
+    ----------
+    matrix : numpy.ndarray
+        Connectivity matrix
+    area_list: list or numpy.ndarray
+        List of areas
+
+    Returns
+    -------
+    g : igraph.Graph
+    """
+    g = igraph.Graph(directed=True)
+    g.add_vertices(area_list)
+
+    for ii in range(32):
+        for jj in range(32):
+            if matrix[ii][jj] != 0:
+                g.add_edge(jj, ii, weight=matrix[ii][jj])
+    return g
+
+
+def create_networkx_graph(matrix, complete_population_list, relative=False):
+    """
+    Create instance of networkx.DiGraph from connectivity matrix
+
+    Parameters
+    ----------
+    matrix : numpy.ndarray
+        Connectivity matrix defining the edge weights
+    complete_population_list : list
+        List of all populations in the model defining
+        the graph nodes
+    relative : boolean
+        Whether to use the given number in matrix
+        or relative values for each row of the matrix
+        as edge weights. Defaults to False.
+
+    Returns
+    -------
+    g : networkx.DiGraph
+        The resulting graph
+    """
+    g = nx.DiGraph()
+    g.add_nodes_from(complete_population_list)
+
+    for ii, target in enumerate(complete_population_list):
+        for jj, source in enumerate(complete_population_list):
+            if matrix[ii][jj] != 0:
+                if relative:
+                    weight = matrix[ii][jj] / np.sum(matrix[ii][:-1])
+                else:
+                    weight = matrix[ii][jj]
+                g.add_edge(source, target, weight=weight,
+                           distance=np.log10(1. / weight))
+    return g
+
+
+def create_networkx_area_graph(matrix, area_list, relative=False):
+    """
+    Create instance of networkx.DiGraph from connectivity matrix
+
+    Parameters
+    ----------
+    matrix : numpy.ndarray
+        Connectivity matrix defining the edge weights
+    area_list : list
+        List of all populations in the model defining
+        the graph nodes
+    relative : boolean
+        Whether to use the given number in matrix
+        or relative values for each row of the matrix
+        as edge weights. Defaults to False.
+
+    Returns
+    -------
+    g : networkx.DiGraph
+        The resulting graph
+    """
+    G = nx.DiGraph()
+    G.add_nodes_from(area_list)
+
+    for ii, target in enumerate(area_list):
+        for jj, source in enumerate(area_list):
+            if matrix[ii][jj] > 0:
+                if relative:
+                    weight = matrix[ii][jj] / np.sum(matrix[ii])
+                else:
+                    weight = matrix[ii][jj]
+                G.add_edge(source, target, weight=weight,
+                           distance=np.log10(1. / weight))
+    return G
diff --git a/figures/Schmidt2017/helpers.py b/figures/Schmidt2017/helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..70e092740d72c445f0a0c3133b703fd02b27f9d4
--- /dev/null
+++ b/figures/Schmidt2017/helpers.py
@@ -0,0 +1,158 @@
+import numpy as np
+
+"""
+Helper file collecting a number of necessary
+imports for the plot scripts
+"""
+
+area_list = ['V1', 'V2', 'VP', 'V3', 'V3A', 'MT', 'V4t', 'V4', 'VOT', 'MSTd',
+             'PIP', 'PO', 'DP', 'MIP', 'MDP', 'VIP', 'LIP', 'PITv', 'PITd',
+             'MSTl', 'CITv', 'CITd', 'FEF', 'TF', 'AITv', 'FST', '7a', 'STPp',
+             'STPa', '46', 'AITd', 'TH']
+
+
+population_list = ['23E', '23I', '4E', '4I', '5E', '5I', '6E', '6I']
+
+datapath = '../../multiarea_model/data_multiarea'
+raw_datapath = '../../multiarea_model/data_multiarea/raw_data/'
+
+population_labels = ['2/3E', '2/3I', '4E', '4I', '5E', '5I', '6E', '6I']
+layer_labels = ['L1', 'L2', 'L3', 'L4', 'L5', 'L6']
+tex_names = {'23': 'twothree', '4': 'four', '5': 'five', '6': 'six'}
+
+
+def hierarchical_relation(target_area, source_area, SLN_completed, thresh=(0.35, 0.65)):
+    """
+    Returns the hierarchical relation between
+    two areas based on their SLN value (data + estimated).
+
+    Parameters
+    ----------
+    target_area : str
+        Name of target area.
+    source_area : str
+        Name of source area.
+    SLN_completed : dict
+        Dictionary of SLN values for pairs of areas.
+    thresh : tuple of floats
+        Threshold values to classify connections
+        as FF/FB/lateral.
+
+    Returns
+    -------
+    hierarchical_relation : str
+        Hierarchical relation between source
+        and target area.
+    """
+
+    if (target_area != source_area and
+            source_area in SLN_completed[target_area]):
+        if SLN_completed[target_area][source_area] > thresh[1]:
+            return 'FF'
+        elif SLN_completed[target_area][source_area] < thresh[0]:
+            return 'FB'
+        else:
+            return 'lateral'
+    else:
+        return 'same-area'
+
+
+def structural_gradient(target_area, source_area, structure):
+    """
+    Returns the structural gradient between two areas
+    See Schmidt, M., Bakker, R., Hilgetag, C.C. et al.
+    Brain Struct Funct (2017). https://doi.org/10.1007/s00429-017-1554-4
+    for a definition.
+
+    Parameters
+    ----------
+    target_area : str
+        Name of target area.
+    source_area : str
+        Name of source area.
+    """
+    if target_area != source_area:
+        if structure[target_area] < structure[source_area]:
+            return 'HL'
+        elif structure[target_area] > structure[source_area]:
+            return 'LH'
+        else:
+            return 'HZ'
+    else:
+        return 'same-area'
+
+
+def write_out_lw(fn, C, std=False):
+    """
+    Stores line widths for arrows in path figures
+    generated by pstricks to a txt file.
+
+    Parameters
+    ----------
+    fn : str
+        Filename of output file.
+    C : dict
+        Dictionary with line width values.
+    std : bool
+        Whether to write out mean or std values.
+    """
+    if not std:
+        max_lw = 0.3  # This is an empirically determined value
+        scale_factor = max_lw / np.max(list(C.values()))
+        with open(fn, 'w') as f:
+            for pair, count in list(C.items()):
+                s = '\setboolean{{DRAW{}{}{}{}}}{{true}}'.format(tex_names[pair[0][:-1]],
+                                                                  pair[0][-1],
+                                                                  tex_names[pair[1][:-1]],
+                                                                  pair[1][-1])
+                f.write(s)
+                f.write('\n')
+                s = '\def\{}{}{}{}{{{}}}'.format(tex_names[pair[0][:-1]],
+                                                 pair[0][-1],
+                                                 tex_names[pair[1][:-1]],
+                                                 pair[1][-1],
+                                                 float(count) * scale_factor)
+                f.write(s)
+                f.write('\n')
+    else:
+        max_lw = 0.3
+        scale_factor = max_lw / np.max(list(C['mean'].values()))
+        with open(fn, 'w') as f:
+            for pair, count in list(C['mean'].items()):
+                s = '\setboolean{{DRAW\{}{}{}{}}}{{true}}'.format(tex_names[pair[0][:-1]],
+                                                                  pair[0][-1],
+                                                                  tex_names[pair[1][:-1]],
+                                                                  pair[1][-1])
+                f.write('\n')
+                s = '\def\{}{}{}{}{{{}}}'.format(tex_names[pair[0][:-1]],
+                                                 pair[0][-1],
+                                                 tex_names[pair[1][:-1]],
+                                                 pair[1][-1],
+                                                 float(count) * scale_factor)
+                f.write('\n')
+
+            for pair, count in list(C['1sigma'].items()):
+                f.write('\n')
+                s = '\def\{}{}{}{}sigma{{{}}}'.format(tex_names[pair[0][:-1]],
+                                                      pair[0][-1],
+                                                      tex_names[pair[1][:-1]],
+                                                      pair[1][-1],
+                                                      float(count) * scale_factor)
+                f.write('\n')
+
+
+def area_population_list(structure, area):
+    """
+    Construct list of all populations in an area.
+
+    Parameters
+    ----------
+    structure : dict
+        Dictionary defining the structure of each area.
+    area : str
+        Area to construct list for.
+    """
+    complete = []
+    for pop in structure[area]:
+        complete.append(area + '-' + pop)
+    return complete
diff --git a/figures/Schmidt2017/plotcolors.py b/figures/Schmidt2017/plotcolors.py
new file mode 100644
index 0000000000000000000000000000000000000000..3a6e42b49977fd9db1bee11f02e222d6db4c4771
--- /dev/null
+++ b/figures/Schmidt2017/plotcolors.py
@@ -0,0 +1,15 @@
+myblue = (0.2980392156862745, 0.4470588235294118, 0.6901960784313725)
+mygreen = (0.3333333333333333, 0.6588235294117647, 0.40784313725490196)
+myred = (0.7686274509803922, 0.3058823529411765, 0.3215686274509804)
+mypurple = (0.5058823529411764, 0.4470588235294118, 0.6980392156862745)
+myyellow = (0.8, 0.7254901960784313, 0.4549019607843137)
+myblue2 = (0.39215686274509803, 0.7098039215686275, 0.803921568627451)
+myred2 = (1.0, 0.6235294117647059, 0.6039215686274509)
+
+myblue_hex = u'#4c72b0'
+mygreen_hex = u'#55a868'
+myred_hex = u'#c44e52'
+mypurple_hex = u'#8172b2'
+myyellow_hex = u'#ccb974'
+myblue2_hex = u'#64b5cd'
+myred2_hex = '#ff9f9a'
diff --git a/figures/Schmidt2017/plotfuncs.py b/figures/Schmidt2017/plotfuncs.py
new file mode 100644
index 0000000000000000000000000000000000000000..6a167f8c70f07282fdafdea99a7ef1938ec921eb
--- /dev/null
+++ b/figures/Schmidt2017/plotfuncs.py
@@ -0,0 +1,196 @@
+import matplotlib as mp
+import matplotlib.pylab as pl
+import numpy as np
+mp.use('GTKAgg')
+
+
+class panel_factory():
+    """Class that generates a subpanel in the PloS figure"""
+
+    def __init__(self, scale, figure, n_pan_x, n_pan_y, hoffset,
+                 voffset, hspace, vspace, panel_width, panel_height):
+        self.scale = scale
+        self.figure = figure
+        self.n_pan_x = n_pan_x
+        self.n_pan_y = n_pan_y
+        self.voffset = voffset
+        self.hoffset = hoffset
+        self.voffset = voffset
+        self.hspace = hspace
+        self.vspace = vspace
+        self.panel_width = panel_width
+        self.panel_height = panel_height
+
+    def new_panel(self, nx, ny, label, label_position='center', voffset=0., polar=False):
+        """Create new panel with an axes object at position nx, ny"""
+
+        assert(nx >= 0 and nx < self.n_pan_x)
+        assert(ny >= 0 and ny < self.n_pan_y)
+
+        pos = [self.hoffset + nx * (self.hspace + self.panel_width),
+               voffset + self.voffset +
+               (self.n_pan_y - ny - 1) * (self.vspace + self.panel_height),
+               self.panel_width, self.panel_height]
+
+        # generate axes object
+        ax = pl.axes(pos, polar=polar)
+
+        # panel labels
+        if label != '':
+            # workaround to adjust label both for vertically and horizontally aligned panels
+            if isinstance(label_position, tuple):
+                label_pos = list(label_position)
+            else:
+                if self.panel_width > self.panel_height:
+                    y = 1.03
+                else:
+                    y = 1.01
+                if label_position == 'center':
+                    # position of panel label (relative to each subpanel)
+                    label_pos = [0.33, y]
+                elif label_position == 'left':
+                    # position of panel label (relative to each subpanel)
+                    label_pos = [0.0, y]
+                elif label_position == 'leftleft':
+                    # position of panel label (relative to each subpanel)
+                    label_pos = [-0.2, y]
+                elif type(label_position) == float:
+                    # position of panel label (relative to each subpanel)
+                    label_pos = [label_position, y]
+
+            label_fs = self.scale * 10           # fontsize of panel label
+
+            pl.text(label_pos[0], label_pos[1], r'\bfseries{}' + label,
+                    fontdict={'fontsize': label_fs,
+                              'weight': 'bold',
+                              'horizontalalignment': 'left',
+                              'verticalalignment': 'bottom'},
+                    transform=ax.transAxes)
+
+        return ax
+
+    def new_empty_panel(self, nx, ny, label, label_position='left'):
+        """Create new panel at position nx, ny"""
+
+        assert(nx >= 0 and nx < self.n_pan_x)
+        assert(ny >= 0 and ny < self.n_pan_y)
+
+        pos = [self.hoffset + nx * (self.hspace + self.panel_width),
+               self.voffset + (self.n_pan_y - ny - 1) *
+               (self.vspace + self.panel_height),
+               self.panel_width, self.panel_height]
+
+        ax = pl.axes(pos, frameon=False)
+        ax.set_xticks([])
+        ax.set_yticks([])
+
+        # panel label
+        if label != '':
+            # workaround to adjust label both for vertically and horizontally aligned panels
+            if self.panel_width > self.panel_height:
+                y = 1.03
+            else:
+                y = 1.01
+            if label_position == 'center':
+                # position of panel label (relative to each subpanel)
+                label_pos = [0.33, y]
+            elif label_position == 'left':
+                # position of panel label (relative to each subpanel)
+                label_pos = [0.0, y]
+            elif label_position == 'leftleft':
+                # position of panel label (relative to each subpanel)
+                label_pos = [-0.2, y]
+            elif type(label_position) == float:
+                # position of panel label (relative to each subpanel)
+                label_pos = [label_position, y]
+            label_fs = self.scale * 10           # fontsize of panel label
+
+            pl.text(label_pos[0], label_pos[1], r'\bfseries{}' + label,
+                    fontdict={'fontsize': label_fs,
+                              'weight': 'bold',
+                              'horizontalalignment': 'left',
+                              'verticalalignment': 'bottom'},
+                    transform=ax.transAxes)
+
+        return pos
+
+
+def create_fig(fig, scale, width, n_horz_panels, n_vert_panels,
+               hoffset=0.1, voffset=0.18, squeeze=0.25, aspect_ratio_1=False,
+               height_sup=0.):
+    """Create figure"""
+
+    panel_wh_ratio = (1. + np.sqrt(5)) / 2.  # golden ratio
+    if aspect_ratio_1:
+        panel_wh_ratio = 1
+
+    height = width / panel_wh_ratio * n_vert_panels / n_horz_panels
+
+    pl.rcParams['figure.figsize'] = (width, height + height_sup)
+
+    # resolution of figures in dpi
+    # does not influence eps output
+    pl.rcParams['figure.dpi'] = 300
+
+    # font
+    pl.rcParams['font.size'] = scale * 8
+    pl.rcParams['legend.fontsize'] = scale * 8
+    pl.rcParams['font.family'] = "sans-serif"
+
+    pl.rcParams['lines.linewidth'] = scale * 1.0
+
+    # size of markers (points in point plots)
+    pl.rcParams['lines.markersize'] = scale * 3.0
+    pl.rcParams['patch.linewidth'] = scale * 1.0
+    pl.rcParams['axes.linewidth'] = scale * 1.0     # edge linewidth
+
+    # ticks distances
+    pl.rcParams['xtick.major.size'] = scale * 4      # major tick size in points
+    pl.rcParams['xtick.minor.size'] = scale * 2      # minor tick size in points
+    pl.rcParams['lines.markeredgewidth'] = scale * 0.5  # line width of ticks
+    pl.rcParams['grid.linewidth'] = scale * 0.5
+    # distance to major tick label in points
+    pl.rcParams['xtick.major.pad'] = scale * 4
+    # distance to the minor tick label in points
+    pl.rcParams['xtick.minor.pad'] = scale * 4
+    pl.rcParams['ytick.major.size'] = scale * 4      # major tick size in points
+    pl.rcParams['ytick.minor.size'] = scale * 2      # minor tick size in points
+    # distance to major tick label in points
+    pl.rcParams['ytick.major.pad'] = scale * 4
+    # distance to the minor tick label in points
+    pl.rcParams['ytick.minor.pad'] = scale * 4
+
+    # ticks textsize
+    pl.rcParams['ytick.labelsize'] = scale * 8
+    pl.rcParams['xtick.labelsize'] = scale * 8
+
+    pl.rcParams['savefig.transparent'] = True
+    # use latex to generate the labels in plots
+    # not needed anymore in newer versions
+    # using this, font detection fails on adobe illustrator 2010-07-20
+    pl.rcParams['text.usetex'] = True
+    pl.rcParams['text.latex.preamble'] = [r"\usepackage{amsmath}"]
+
+    pl.rcParams['ps.useafm'] = False   # use of afm fonts, results in small files
+    # Output Type 3 (Type3) or Type 42 (TrueType)
+    pl.rcParams['ps.fonttype'] = 3
+
+    fig = pl.figure(fig)
+    pl.clf()
+
+    panel_width = 1. / n_horz_panels * 0.75   # relative width of each subpanel
+    # horizontal space between subpanels
+    hspace = 1. / n_horz_panels * squeeze
+
+    panel_height = 1. / n_vert_panels * 0.70 * \
+        (1. - height_sup / height)   # relative height of each subpanel
+    print("panel_height", panel_height)
+    vspace = 1. / n_vert_panels * 0.25         # vertical space between subpanels
+
+    # left margin (relative coordinates)
+    hoffset = hoffset
+    # bottom margin (relative coordinates)
+    voffset = voffset / n_vert_panels
+
+    return panel_factory(scale, fig, n_horz_panels, n_vert_panels,
+                         hoffset, voffset, hspace, vspace, panel_width, panel_height)
diff --git a/figures/Schmidt2017/plotstyle.rc b/figures/Schmidt2017/plotstyle.rc
new file mode 100644
index 0000000000000000000000000000000000000000..339cf3213f5ced192e2da86535afe8e6f4adea64
--- /dev/null
+++ b/figures/Schmidt2017/plotstyle.rc
@@ -0,0 +1,53 @@
+# set default backend
+backend : GTK3Agg
+
+# resolution of figures in dpi
+# does not influence eps output
+figure.dpi : 150
+savefig.dpi : 300
+
+# set default figuresize
+figure.figsize : 12.0, 7.42
+
+# font
+font.size : 8
+legend.fontsize : 8
+font.family : sans-serif
+
+# size of lines
+lines.linewidth : 1.5
+lines.antialiased : True
+
+# size of markers (points in point plots)
+lines.markersize : 3.0
+patch.linewidth : 1.0
+axes.linewidth : 1.0 # edge linewidth
+
+# ticks distances
+xtick.major.size : 4 # major tick size in points
+xtick.minor.size : 2 # minor tick size in points
+lines.markeredgewidth : 0.5 # line width of ticks
+xtick.major.pad : 4 # distance to major tick label in points
+xtick.minor.pad : 4 # distance to the minor tick label in points
+ytick.major.size : 4  # major tick size in points
+ytick.minor.size : 2 # minor tick size in points
+ytick.major.pad : 4 # distance to major tick label in points
+ytick.minor.pad : 4 # distance to the minor tick label in points
+
+# ticks textsize
+ytick.labelsize : 8
+xtick.labelsize : 8
+
+# axes labelsize
+axes.labelsize : 8
+
+# use latex to generate the labels in plots
+# not needed anymore in newer versions
+# using this, font detection fails on adobe illustrator 2010-07-20
+text.usetex : True
+text.latex.preamble : \usepackage{amsmath}
+ps.useafm : False # use of afm fonts, results in small files
+ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
+
+# set different default color cycle
+axes.color_cycle : 4c72b0, 55a868, c44e52, 8172b2, ccb974, 64b5cd
\ No newline at end of file
diff --git a/figures/Schmidt2017/tex/FB_paths.tex b/figures/Schmidt2017/tex/FB_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..f1b9bf9fe78fae7a450b034096d1783c83df20a4
--- /dev/null
+++ b/figures/Schmidt2017/tex/FB_paths.tex
@@ -0,0 +1,40 @@
+\documentclass[pstricks=true, preview]{standalone}
+%\documentclass{article}
+
+%%\usepackage{pstricks}
+\usepackage{pst-all}
+\usepackage{graphicx}
+%\usepackage[helvet]{sfmath}
+\renewcommand*{\familydefault}{\sfdefault}
+
+\input{defs.tex}
+\input{define_bools.tex}
+
+\begin{document}
+\begin{figure}
+\begin{pspicture}(6.5,5.)
+
+\rput[Rt](3.,4.9){\textbf{Feedback}}
+\rput[Rt](3.,4.5){\footnotesize$SLN < 0.35$}
+
+\psframe[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.7)(4.,4.2)
+
+
+\input{define_pops.tex}
+\input{lw_FB_paths_SLN.tex}
+\input{draw_paths.tex}
+\input{draw_pops.tex}
+%\nccurve[angleA=0, angleB=180, linewidth=\23E4E, linecolor=mygray2]{->}{s23E}{4E}
+
+
+
+\end{pspicture}
+\end{figure}
+
+\end{document}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/FF_paths.tex b/figures/Schmidt2017/tex/FF_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..e6f583d9011d4f6f798411facece3f87ceee9c02
--- /dev/null
+++ b/figures/Schmidt2017/tex/FF_paths.tex
@@ -0,0 +1,37 @@
+\documentclass[pstricks=true, preview]{standalone}
+%\documentclass{article}
+
+%%\usepackage{pstricks}
+\usepackage{pst-all}
+\usepackage{graphicx}
+
+%\usepackage[helvet]{sfmath}
+\renewcommand*{\familydefault}{\sfdefault}
+
+\input{defs.tex}
+\input{define_bools.tex}
+
+\begin{document}
+\begin{figure}
+\begin{pspicture}(6.5,5.)
+
+\rput[Rt](3.,4.9){\textbf{Feedforward}}
+\rput[Rt](3.,4.5){\footnotesize$SLN > 0.65$}
+
+\psframe[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.7)(4.,4.2)
+
+
+\input{define_pops.tex}
+\input{lw_FF_paths_SLN.tex}
+\input{draw_paths.tex}
+\input{draw_pops.tex}
+\end{pspicture}
+\end{figure}
+
+\end{document}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/HL_paths.tex b/figures/Schmidt2017/tex/HL_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..03654c9c560f3310bdf7dbde41ee889edcc2576e
--- /dev/null
+++ b/figures/Schmidt2017/tex/HL_paths.tex
@@ -0,0 +1,40 @@
+\documentclass[pstricks=true, preview]{standalone}
+%\documentclass{article}
+
+%%\usepackage{pstricks}
+\usepackage{pst-all}
+\usepackage{graphicx}
+
+%\usepackage[helvet]{sfmath}
+\renewcommand*{\familydefault}{\sfdefault}
+
+\input{defs.tex}
+\input{define_bools.tex}
+
+\begin{document}
+\begin{figure}
+\begin{pspicture}(6.5,5.)
+
+\rput[Rt](3.,4.85){\textbf{High to low type}}
+
+\psframe[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.7)(4.,4.2)
+
+\rput[Lt](3.1, 0.65){\footnotesize{Intermediate steps}}
+\pspolygon[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.4)(4.,0.4)(6., 0.0)(0.3, 0.0)
+
+\input{define_pops.tex}
+\input{lw_HL_paths.tex}
+\input{draw_paths.tex}
+\input{draw_pops.tex}
+\end{pspicture}
+\end{figure}
+
+\end{document}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/HZ_paths.tex b/figures/Schmidt2017/tex/HZ_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..53dc0a24956da1f64131a0b62ac0c38254f0b0fa
--- /dev/null
+++ b/figures/Schmidt2017/tex/HZ_paths.tex
@@ -0,0 +1,39 @@
+\documentclass[pstricks=true, preview]{standalone}
+%\documentclass{article}
+
+%%\usepackage{pstricks}
+\usepackage{pst-all}
+\usepackage{graphicx}
+%\usepackage[helvet]{sfmath}
+\renewcommand*{\familydefault}{\sfdefault}
+
+\input{defs.tex}
+\input{define_bools.tex}
+
+\begin{document}
+\begin{figure}
+\begin{pspicture}(6.5,5.)
+\rput[Rt](3.,4.85){\textbf{Horizontal}}
+
+\psframe[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.7)(4.,4.2)
+
+\rput[Lt](3.1, 0.65){\footnotesize{Intermediate steps}}
+\pspolygon[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.4)(4.,0.4)(6., 0.0)(0.3, 0.0)
+
+\input{define_pops.tex}
+\input{lw_HZ_paths.tex}
+\input{draw_paths.tex}
+\input{draw_pops.tex}
+
+\end{pspicture}
+\end{figure}
+
+\end{document}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/LH_paths.tex b/figures/Schmidt2017/tex/LH_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..3f8097e0e6f288113fc5594b53cb2adabd579d17
--- /dev/null
+++ b/figures/Schmidt2017/tex/LH_paths.tex
@@ -0,0 +1,43 @@
+\documentclass[pstricks=true, preview, preview]{standalone}
+%\documentclass{article}
+
+%%\usepackage{pstricks}
+\usepackage{pst-all}
+\usepackage{graphicx}
+%\usepackage[helvet]{sfmath}
+\renewcommand*{\familydefault}{\sfdefault}
+
+\input{defs.tex}
+\input{define_bools.tex}
+
+\begin{document}
+\begin{figure}
+\begin{pspicture}(6.5,5.)
+
+\rput[Rt](3.,4.85){\textbf{Low to high type}}
+
+\psframe[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.7)(4.,4.2)
+
+\rput[Lt](3.1, 0.65){\footnotesize{Intermediate steps}}
+\pspolygon[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.4)(4.,0.4)(6., 0.0)(0.3, 0.0)
+
+\input{define_pops.tex}
+\input{lw_LH_paths.tex}
+\input{draw_paths.tex}
+\input{draw_pops.tex}
+%\nccurve[angleA=0, angleB=180, linewidth=\23E4E, linecolor=mygray2]{->}{s23E}{4E}
+
+
+
+\end{pspicture}
+\end{figure}
+
+\end{document}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/compile_tex.sh b/figures/Schmidt2017/tex/compile_tex.sh
new file mode 100755
index 0000000000000000000000000000000000000000..0562254834a6bf9df14a5cafb639726deecd4635
--- /dev/null
+++ b/figures/Schmidt2017/tex/compile_tex.sh
@@ -0,0 +1,11 @@
+filenames="LH_paths HL_paths HZ_paths FF_paths FB_paths lateral_paths"
+for file in $filenames
+do
+        latex ${file}.tex
+        dvipdf ${file}.dvi
+        pdftops -eps ${file}.pdf
+	rm ${file}.aux
+	rm ${file}.log
+	rm ${file}.dvi
+	rm ${file}.pdf
+done
diff --git a/figures/Schmidt2017/tex/define_bools.tex b/figures/Schmidt2017/tex/define_bools.tex
new file mode 100644
index 0000000000000000000000000000000000000000..d4b6acba8cf4b83ff977f9b6bec068222367e377
--- /dev/null
+++ b/figures/Schmidt2017/tex/define_bools.tex
@@ -0,0 +1,161 @@
+\usepackage{ifthen}
+\newboolean{DRAWtwothreeEtwothreeE}
+\newboolean{DRAWtwothreeEfourE}
+\newboolean{DRAWtwothreeEfiveE}
+\newboolean{DRAWtwothreeEsixE}
+\newboolean{DRAWtwothreeEtwothreeI}
+\newboolean{DRAWtwothreeEfourI}
+\newboolean{DRAWtwothreeEfiveI}
+\newboolean{DRAWtwothreeEsixI}
+
+
+\newboolean{DRAWfiveEtwothreeE}
+\newboolean{DRAWfiveEfourE}
+\newboolean{DRAWfiveEfiveE}
+\newboolean{DRAWfiveEsixE}
+\newboolean{DRAWfiveEtwothreeI}
+\newboolean{DRAWfiveEfourI}
+\newboolean{DRAWfiveEfiveI}
+\newboolean{DRAWfiveEsixI}
+
+
+\newboolean{DRAWfourEtwothreeE}
+\newboolean{DRAWfourEfourE}
+\newboolean{DRAWfourEfiveE}
+\newboolean{DRAWfourEsixE}
+\newboolean{DRAWfourEtwothreeI}
+\newboolean{DRAWfourEfourI}
+\newboolean{DRAWfourEfiveI}
+\newboolean{DRAWfourEsixI}
+
+
+\newboolean{DRAWsixEtwothreeE}
+\newboolean{DRAWsixEfourE}
+\newboolean{DRAWsixEfiveE}
+\newboolean{DRAWsixEsixE}
+\newboolean{DRAWsixEtwothreeI}
+\newboolean{DRAWsixEfourI}
+\newboolean{DRAWsixEfiveI}
+\newboolean{DRAWsixEsixI}
+
+
+\setboolean{DRAWtwothreeEtwothreeE}{false}
+\setboolean{DRAWtwothreeEfourE}{false}
+\setboolean{DRAWtwothreeEfiveE}{false}
+\setboolean{DRAWtwothreeEsixE}{false}
+\setboolean{DRAWtwothreeEtwothreeI}{false}
+\setboolean{DRAWtwothreeEfourI}{false}
+\setboolean{DRAWtwothreeEfiveI}{false}
+\setboolean{DRAWtwothreeEsixI}{false}
+
+
+\setboolean{DRAWfiveEtwothreeE}{false}
+\setboolean{DRAWfiveEfourE}{false}
+\setboolean{DRAWfiveEfiveE}{false}
+\setboolean{DRAWfiveEsixE}{false}
+\setboolean{DRAWfiveEtwothreeI}{false}
+\setboolean{DRAWfiveEfourI}{false}
+\setboolean{DRAWfiveEfiveI}{false}
+\setboolean{DRAWfiveEsixI}{false}
+
+
+\setboolean{DRAWfourEtwothreeE}{false}
+\setboolean{DRAWfourEfourE}{false}
+\setboolean{DRAWfourEfiveE}{false}
+\setboolean{DRAWfourEsixE}{false}
+\setboolean{DRAWfourEtwothreeI}{false}
+\setboolean{DRAWfourEfourI}{false}
+\setboolean{DRAWfourEfiveI}{false}
+\setboolean{DRAWfourEsixI}{false}
+
+
+\setboolean{DRAWsixEtwothreeE}{false}
+\setboolean{DRAWsixEfourE}{false}
+\setboolean{DRAWsixEfiveE}{false}
+\setboolean{DRAWsixEsixE}{false}
+\setboolean{DRAWsixEtwothreeI}{false}
+\setboolean{DRAWsixEfourI}{false}
+\setboolean{DRAWsixEfiveI}{false}
+\setboolean{DRAWsixEsixI}{false}
+
+
+%% I populations
+\newboolean{DRAWtwothreeItwothreeE}
+\newboolean{DRAWtwothreeIfourE}
+\newboolean{DRAWtwothreeIfiveE}
+\newboolean{DRAWtwothreeIsixE}
+\newboolean{DRAWtwothreeItwothreeI}
+\newboolean{DRAWtwothreeIfourI}
+\newboolean{DRAWtwothreeIfiveI}
+\newboolean{DRAWtwothreeIsixI}
+
+
+\newboolean{DRAWfiveItwothreeE}
+\newboolean{DRAWfiveIfourE}
+\newboolean{DRAWfiveIfiveE}
+\newboolean{DRAWfiveIsixE}
+\newboolean{DRAWfiveItwothreeI}
+\newboolean{DRAWfiveIfourI}
+\newboolean{DRAWfiveIfiveI}
+\newboolean{DRAWfiveIsixI}
+
+
+\newboolean{DRAWfourItwothreeE}
+\newboolean{DRAWfourIfourE}
+\newboolean{DRAWfourIfiveE}
+\newboolean{DRAWfourIsixE}
+\newboolean{DRAWfourItwothreeI}
+\newboolean{DRAWfourIfourI}
+\newboolean{DRAWfourIfiveI}
+\newboolean{DRAWfourIsixI}
+
+
+\newboolean{DRAWsixItwothreeE}
+\newboolean{DRAWsixIfourE}
+\newboolean{DRAWsixIfiveE}
+\newboolean{DRAWsixIsixE}
+\newboolean{DRAWsixItwothreeI}
+\newboolean{DRAWsixIfourI}
+\newboolean{DRAWsixIfiveI}
+\newboolean{DRAWsixIsixI}
+
+
+\setboolean{DRAWtwothreeItwothreeE}{false}
+\setboolean{DRAWtwothreeIfourE}{false}
+\setboolean{DRAWtwothreeIfiveE}{false}
+\setboolean{DRAWtwothreeIsixE}{false}
+\setboolean{DRAWtwothreeItwothreeI}{false}
+\setboolean{DRAWtwothreeIfourI}{false}
+\setboolean{DRAWtwothreeIfiveI}{false}
+\setboolean{DRAWtwothreeIsixI}{false}
+
+
+\setboolean{DRAWfiveItwothreeE}{false}
+\setboolean{DRAWfiveIfourE}{false}
+\setboolean{DRAWfiveIfiveE}{false}
+\setboolean{DRAWfiveIsixE}{false}
+\setboolean{DRAWfiveItwothreeI}{false}
+\setboolean{DRAWfiveIfourI}{false}
+\setboolean{DRAWfiveIfiveI}{false}
+\setboolean{DRAWfiveIsixI}{false}
+
+
+\setboolean{DRAWfourItwothreeE}{false}
+\setboolean{DRAWfourIfourE}{false}
+\setboolean{DRAWfourIfiveE}{false}
+\setboolean{DRAWfourIsixE}{false}
+\setboolean{DRAWfourItwothreeI}{false}
+\setboolean{DRAWfourIfourI}{false}
+\setboolean{DRAWfourIfiveI}{false}
+\setboolean{DRAWfourIsixI}{false}
+
+
+\setboolean{DRAWsixItwothreeE}{false}
+\setboolean{DRAWsixIfourE}{false}
+\setboolean{DRAWsixIfiveE}{false}
+\setboolean{DRAWsixIsixE}{false}
+\setboolean{DRAWsixItwothreeI}{false}
+\setboolean{DRAWsixIfourI}{false}
+\setboolean{DRAWsixIfiveI}{false}
+\setboolean{DRAWsixIsixI}{false}
+
diff --git a/figures/Schmidt2017/tex/defs.tex b/figures/Schmidt2017/tex/defs.tex
new file mode 100644
index 0000000000000000000000000000000000000000..5b4185e350e33bab29e1a30b3c15e4c845871915
--- /dev/null
+++ b/figures/Schmidt2017/tex/defs.tex
@@ -0,0 +1,31 @@
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
+\input{texcolors.tex}
+
+\newcommand{\Epop}[2]{\pstriangle[linecolor=myblue,
+            linewidth=0.01,
+            fillstyle=gradient,
+            gradbegin=white,
+            gradend = myblue,            
+            fillcolor=myblue,
+            gradmidpoint=1.,
+            gradangle=-90](#1, #2)(0.5,0.5)}
+
+\newcommand{\Ipop}[2]{
+\pscircle[linecolor=myred,
+            linewidth=0.01,
+            fillstyle=gradient,
+            gradbegin=white,
+            gradend = myred,            
+            fillcolor=myred,
+            gradmidpoint=1.,
+            gradangle=-90](#1, #2){0.25}}
+
+\newcommand{\grayarrow}[4]{
+  \psline[linewidth=0.15, linecolor=mygray2, linestyle=solid]{->}(#1, #2)(#3, #4)
+}
+
+\def\arrowsize{0.35}
\ No newline at end of file
diff --git a/figures/Schmidt2017/tex/draw_paths.tex b/figures/Schmidt2017/tex/draw_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..1e065228ec71366b50e49f6ac38f5ded29edef61
--- /dev/null
+++ b/figures/Schmidt2017/tex/draw_paths.tex
@@ -0,0 +1,49 @@
+\ifthenelse{\boolean{DRAWtwothreeEtwothreeE}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEtwothreeE, linecolor=mygray2]{->}{s23E}{t23E}}{}
+\ifthenelse{\boolean{DRAWtwothreeEfourE}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEfourE, linecolor=mygray2]{->}{s23E}{t4E}}{}
+\ifthenelse{\boolean{DRAWtwothreeEfiveE}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEfiveE, linecolor=mygray2]{->}{s23E}{t5E}}{}
+\ifthenelse{\boolean{DRAWtwothreeEsixE}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEsixE, linecolor=mygray2]{->}{s23E}{t6E}}{}
+
+\ifthenelse{\boolean{DRAWtwothreeEtwothreeI}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEtwothreeI, linecolor=mygray2]{->}{s23E}{t23I}}{}
+\ifthenelse{\boolean{DRAWtwothreeEfourI}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEfourI, linecolor=mygray2]{->}{s23E}{t4I}}{}
+\ifthenelse{\boolean{DRAWtwothreeEfiveI}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEfiveI, linecolor=mygray2]{->}{s23E}{t5I}}{}
+\ifthenelse{\boolean{DRAWtwothreeEsixI}}{\nccurve[angleA=0, angleB=180, linewidth=\twothreeEsixI, linecolor=mygray2]{->}{s23E}{t6I}}{}
+
+% From 4E
+\ifthenelse{\boolean{DRAWfourEtwothreeE}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEtwothreeE, linecolor=mygray2]{->}{s4E}{t23E}}{}
+\ifthenelse{\boolean{DRAWfourEfourE}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEfourE, linecolor=mygray2]{->}{s4E}{t4E}}{}
+\ifthenelse{\boolean{DRAWfourEfiveE}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEfiveE, linecolor=mygray2]{->}{s4E}{t5E}}{}
+\ifthenelse{\boolean{DRAWfourEsixE}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEsixE, linecolor=mygray2]{->}{s4E}{t6E}}{}
+
+\ifthenelse{\boolean{DRAWfourEtwothreeI}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEtwothreeI, linecolor=mygray2]{->}{s4E}{t23I}}{}
+\ifthenelse{\boolean{DRAWfourEfourI}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEfourI, linecolor=mygray2]{->}{s4E}{t4I}}{}
+\ifthenelse{\boolean{DRAWfourEfiveI}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEfiveI, linecolor=mygray2]{->}{s4E}{t5I}}{}
+\ifthenelse{\boolean{DRAWfourEsixI}}{\nccurve[angleA=0, angleB=180, linewidth=\fourEsixI, linecolor=mygray2]{->}{s4E}{t6I}}{}
+
+% From 5E
+\ifthenelse{\boolean{DRAWfiveEtwothreeE}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEtwothreeE, linecolor=mygray2]{->}{s5E}{t23E}}{}
+\ifthenelse{\boolean{DRAWfiveEfourE}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEfourE, linecolor=mygray2]{->}{s5E}{t4E}}{}
+\ifthenelse{\boolean{DRAWfiveEfiveE}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEfiveE, linecolor=mygray2]{->}{s5E}{t5E}}{}
+\ifthenelse{\boolean{DRAWfiveEsixE}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEsixE, linecolor=mygray2]{->}{s5E}{t6E}}{}
+
+
+\ifthenelse{\boolean{DRAWfiveEtwothreeI}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEtwothreeI, linecolor=mygray2]{->}{s5E}{t23I}}{}
+\ifthenelse{\boolean{DRAWfiveEfourI}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEfourI, linecolor=mygray2]{->}{s5E}{t4I}}{}
+\ifthenelse{\boolean{DRAWfiveEfiveI}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEfiveI, linecolor=mygray2]{->}{s5E}{t5I}}{}
+\ifthenelse{\boolean{DRAWfiveEsixI}}{\nccurve[angleA=0, angleB=180, linewidth=\fiveEsixI, linecolor=mygray2]{->}{s5E}{t6I}}{}
+
+% From 6E
+\ifthenelse{\boolean{DRAWsixEtwothreeE}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEtwothreeE, linecolor=mygray2]{->}{s6E}{t23E}}{}
+\ifthenelse{\boolean{DRAWsixEfourE}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEfourE, linecolor=mygray2]{->}{s6E}{t4E}}{}
+\ifthenelse{\boolean{DRAWsixEfiveE}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEfiveE, linecolor=mygray2]{->}{s6E}{t5E}}{}
+\ifthenelse{\boolean{DRAWsixEsixE}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEsixE, linecolor=mygray2]{->}{s6E}{t6E}}{}
+
+
+\ifthenelse{\boolean{DRAWsixEtwothreeI}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEtwothreeI, linecolor=mygray2]{->}{s6E}{t23I}}{}
+\ifthenelse{\boolean{DRAWsixEfourI}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEfourI, linecolor=mygray2]{->}{s6E}{t4I}}{}
+\ifthenelse{\boolean{DRAWsixEfiveI}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEfiveI, linecolor=mygray2]{->}{s6E}{t5I}}{}
+\ifthenelse{\boolean{DRAWsixEsixI}}{\nccurve[angleA=0, angleB=180, linewidth=\sixEsixI, linecolor=mygray2]{->}{s6E}{t6I}}{}
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/draw_pops.tex b/figures/Schmidt2017/tex/draw_pops.tex
new file mode 100644
index 0000000000000000000000000000000000000000..0dbe69b9c4585aa356eadc995b63862fcba07f53
--- /dev/null
+++ b/figures/Schmidt2017/tex/draw_pops.tex
@@ -0,0 +1,20 @@
+\Epop{5.}{3.7}
+\Epop{5.}{2.7}
+\Epop{5.}{1.7}
+\Epop{5.}{0.7}
+
+\Ipop{6.}{3.94}
+\Ipop{6.}{2.94}
+\Ipop{6.}{1.94}
+\Ipop{6.}{0.94}
+
+\Epop{1.3}{3.7}
+\Epop{1.3}{2.7}
+\Epop{1.3}{1.7}
+\Epop{1.3}{0.7}
+
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/indirect_23E.eps b/figures/Schmidt2017/tex/indirect_23E.eps
new file mode 100644
index 0000000000000000000000000000000000000000..f913b4fd5229d6a4359eb8cf87242b537459ae31
--- /dev/null
+++ b/figures/Schmidt2017/tex/indirect_23E.eps
@@ -0,0 +1,5406 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%Produced by poppler pdftops version: 0.44.0 (http://poppler.freedesktop.org)
+%%Creator: dvips(k) 5.996 Copyright 2016 Radical Eye Software
+%%LanguageLevel: 2
+%%DocumentSuppliedResources: (atend)
+%%BoundingBox: 0 0 80 142
+%%HiResBoundingBox: 0 0 79.37 141.73
+%%DocumentSuppliedResources: (atend)
+%%EndComments
+%%BeginProlog
+%%BeginResource: procset xpdf 3.00 0
+%%Copyright: Copyright 1996-2011 Glyph & Cog, LLC
+/xpdf 75 dict def xpdf begin
+% PDF special state
+/pdfDictSize 15 def
+/pdfSetup {
+  /setpagedevice where {
+    pop 2 dict begin
+      /Policies 1 dict dup begin /PageSize 6 def end def
+      { /Duplex true def } if
+    currentdict end setpagedevice
+  } {
+    pop
+  } ifelse
+} def
+/pdfSetupPaper {
+  % Change paper size, but only if different from previous paper size otherwise
+  % duplex fails. PLRM specifies a tolerance of 5 pts when matching paper size
+  % so we use the same when checking if the size changes.
+  /setpagedevice where {
+    pop currentpagedevice
+    /PageSize known {
+      2 copy
+      currentpagedevice /PageSize get aload pop
+      exch 4 1 roll
+      sub abs 5 gt
+      3 1 roll
+      sub abs 5 gt
+      or
+    } {
+      true
+    } ifelse
+    {
+      2 array astore
+      2 dict begin
+        /PageSize exch def
+        /ImagingBBox null def
+      currentdict end
+      setpagedevice
+    } {
+      pop pop
+    } ifelse
+  } {
+    pop
+  } ifelse
+} def
+/pdfStartPage {
+  pdfDictSize dict begin
+  /pdfFillCS [] def
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diff --git a/figures/Schmidt2017/tex/lateral_paths.tex b/figures/Schmidt2017/tex/lateral_paths.tex
new file mode 100644
index 0000000000000000000000000000000000000000..778a82a23fc4d6a0935119a721d8b73569e7df4f
--- /dev/null
+++ b/figures/Schmidt2017/tex/lateral_paths.tex
@@ -0,0 +1,36 @@
+\documentclass[pstricks=true, preview]{standalone}
+%\documentclass{article}
+
+%%\usepackage{pstricks}
+\usepackage{pst-all}
+\usepackage{graphicx}
+%\usepackage[helvet]{sfmath}
+\renewcommand*{\familydefault}{\sfdefault}
+
+\input{defs.tex}
+\input{define_bools.tex}
+
+\begin{document}
+\begin{figure}
+\begin{pspicture}(6.5,5.)
+\rput[Rt](3.,4.9){\textbf{Lateral}}
+\rput[Rt](3.,4.5){\footnotesize$0.35 < SLN < 0.65$}
+
+\psframe[linestyle=none, 
+         fillcolor=mygray, 
+         fillstyle=solid](2.3,0.7)(4.,4.2)
+
+
+\input{define_pops.tex}
+\input{lw_lateral_paths_SLN.tex}
+\input{draw_paths.tex}
+\input{draw_pops.tex}
+
+\end{pspicture}
+\end{figure}
+
+\end{document}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/figures/Schmidt2017/tex/texcolors.tex b/figures/Schmidt2017/tex/texcolors.tex
new file mode 100644
index 0000000000000000000000000000000000000000..de08a72a004c5b48adb4f2156cd586a74b288e3d
--- /dev/null
+++ b/figures/Schmidt2017/tex/texcolors.tex
@@ -0,0 +1,11 @@
+\definecolor{mygray}{rgb}{0.9, 0.9, 0.9}
+\definecolor{mygray2}{rgb}{0.5, 0.5, 0.5}
+\definecolor{mygray3}{rgb}{0.753, 0.753, 0.753}
+\definecolor{myblue}{rgb}{0.2980392156862745, 0.4470588235294118, 0.6901960784313725}
+\definecolor{myred}{rgb}{0.7686274509803922, 0.3058823529411765, 0.3215686274509804}
+\definecolor{myblue2}{rgb}{0.39215686274509803, 0.7098039215686275, 0.803921568627451}
+\definecolor{myred2}{rgb}{1.0, 0.6235294117647059, 0.6039215686274509}
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% End:
diff --git a/framework_sketch.png b/framework_sketch.png
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index 0000000000000000000000000000000000000000..b10d5acbbf327e5d7dd2a4aba481174fb983ed61
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diff --git a/model_construction.png b/model_construction.png
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index 0000000000000000000000000000000000000000..e787cfcccf2456f60685d9cfede313c7e374cd80
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diff --git a/multiarea_model/__init__.py b/multiarea_model/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3d30477c274301593ed10fc0ea3c2ed95a192f82
--- /dev/null
+++ b/multiarea_model/__init__.py
@@ -0,0 +1,5 @@
+from . import default_params
+from .analysis import Analysis
+from .simulation import Simulation
+from .theory import Theory
+from .multiarea_model import MultiAreaModel
diff --git a/multiarea_model/analysis.py b/multiarea_model/analysis.py
new file mode 100644
index 0000000000000000000000000000000000000000..035a0b120a64bc00cd6163ba5a625dedac4a2e5d
--- /dev/null
+++ b/multiarea_model/analysis.py
@@ -0,0 +1,946 @@
+# -*- coding: utf-8 -*-
+
+"""
+analysis
+============
+
+Analysis package to load and analyse data from simulations of the
+multi-area model of macaque visual cortex (Schmidt et al. 2017).
+
+
+Classes
+--------
+
+analysis : loads the data of the specified simulation and provides members
+functions to post-process the data and plot it in various visualizations.
+
+Authors
+--------
+Maximilian Schmidt
+Sacha van Albada
+
+"""
+from . import analysis_helpers as ah
+import glob
+import h5py_wrapper.wrapper as h5w
+import inspect
+import json
+import matplotlib.pyplot as plt
+import numpy as np
+import os
+import pandas as pd
+
+from matplotlib.colors import LogNorm
+from matplotlib.ticker import FixedLocator
+from nested_dict import nested_dict
+
+try:
+    import seaborn as sns
+except ImportError:
+    pass
+
+
+class Analysis:
+    def __init__(self, network, simulation, data_list=['spikes'],
+                 load_areas=None):
+        """
+        Analysis class.
+        An instance of the analysis class for the given network and simulation.
+        Can be created as a member class of a multiarea_model instance or standalone.
+
+        Parameters
+        ----------
+        network : MultiAreaModel
+            An instance of the multiarea_model class that specifies
+            the network to be analyzed.
+        simulation : Simulation
+            An instance of the simulation class that specifies
+            the simulation to be analyzed.
+        data_list : list of strings {'spikes', vm'}, optional
+            Specifies which type of data is to load. Defaults to ['spikes'].
+        load_areas : list of strings with area names, optional
+            Specifies the areas for which data is to be loaded.
+            Default value is None and leads to loading of data for all areas.
+        """
+
+        self.network = network
+        self.simulation = simulation
+        assert(self.network.label == self.simulation.network.label)
+        self.output_dir = os.path.join(self.simulation.data_dir, 'Analysis/')
+        try:
+            os.mkdir(self.output_dir)
+        except OSError:
+            pass
+
+        self.T = self.simulation.T
+
+        self.areas_simulated = self.simulation.areas_simulated
+        self.areas_recorded = self.simulation.areas_recorded
+        if load_areas:
+            self.areas_loaded = load_areas
+        else:
+            self.areas_loaded = self.areas_simulated
+
+        assert(all([area in self.areas_recorded for area in
+                    self.areas_loaded])), "Tried to load areas which "
+        "were not recorded"
+        self.interarea_speed = self.network.params['delay_params']['interarea_speed']
+
+        self.load_data(data_list)
+
+    def load_data(self, data_list):
+        """
+        Loads simulation data of the requested type either from hdf5 files.
+
+        Parameters
+        ----------
+
+        data_list : list
+            list of observables to be loaded. Can contain 'spikes' and 'vm'
+        """
+        rec_dir = os.path.join(self.simulation.data_dir, 'recordings')
+        for data_type in data_list:
+            if data_type == 'spikes':
+                h5_file = os.path.join(rec_dir, '_'.join((self.simulation.label,
+                                                         'spike_data.h5')))
+                d = 'spike_dict'
+                columns = ['senders', 'times']
+            elif data_type == 'vm':
+                assert(self.simulation.params['recording_dict']['record_vm']), "Trying to "
+                "load membrane potentials, but these data have not been recorded"
+                h5_file = os.path.join(rec_dir, '_'.join((self.simulation.label,
+                                                          'vm_data.h5')))
+                d = 'vm_dict'
+                columns = ['senders', 'times', 'V_m']
+            print('loading {}'.format(data_type))
+            data = {}
+            # Check if the data has been merged into one common file.
+            try:
+                lazy_load = h5w.load(h5_file, lazy=True)
+            except IOError:
+                lazy_load = {}
+                h5w.save(h5_file, {})
+            for area in self.areas_loaded:
+                if area in lazy_load:
+                    data[area] = h5w.load(h5_file, path=area)
+                else:
+                    area_dat = {}
+                    fp = '-'.join((self.simulation.label,
+                                   self.simulation.params['recording_dict'][d]['label'],
+                                   area,
+                                   '*'))
+                    files = glob.glob(os.path.join(rec_dir, fp))
+                    if len(files) == 0:
+                        continue
+                    for pop in self.network.structure[area]:
+                        fp = '-'.join((self.simulation.label,
+                                       self.simulation.params['recording_dict'][d]['label'],
+                                       area,
+                                       pop,
+                                       '*'))
+                        files = glob.glob(os.path.join(rec_dir, fp))
+                        dat = pd.DataFrame(columns=columns)
+                        for f in files:
+                            dat = dat.append(pd.read_csv(f,
+                                                         names=columns, sep='\t',
+                                                         index_col=False),
+                                             ignore_index=True)
+                        area_dat[pop] = np.array(dat)
+                    data[area] = area_dat
+                    # Store spike data to single hdf5 file
+                    h5w.save(h5_file, data[area], path=area, write_mode='a')
+                if data_type == 'spikes':
+                    self.spike_data = data
+                elif data_type == 'vm':
+                    # Sort membrane potentials to reduce data load
+                    self.vm_data = {}
+                    for area in data:
+                        self.vm_data[area] = {}
+                        for pop in data[area]:
+                            neurons, time, vm = ah.sort_membrane_by_id(data[area][pop])
+                            self.vm_data[area][pop] = {'neurons': neurons,
+                                                       'V_m': vm,
+                                                       'time': (time[0], time[-1])}
+                    self._set_num_vm_neurons()
+
+    def _set_num_vm_neurons(self):
+        """
+        Sets number of neurons from which membrane voltages
+        were recorded during simulation.
+        """
+        self.num_vm_neurons = {}
+        for area in self.vm_data:
+            self.num_vm_neurons[area] = {}
+            for pop in self.vm_data[area]:
+                self.num_vm_neurons[area][pop] = self.vm_data[area][pop][
+                    'neurons'][-1] - self.vm_data[area][pop]['neurons'][0] + 1
+
+# ______________________________________________________________________________
+# Functions for post-processing data into dynamical measures
+    def create_pop_rates(self, **keywords):
+        """
+        Calculate time-averaged population rates and store them in member pop_rates.
+        If the rates had previously been stored with the same
+        parameters, they are loaded from file.
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        compute_stat : bool, optional
+            If set to true, the mean and variance of the population rate
+            is calculated. Defaults to False.
+            Caution: Setting to True slows down the computation.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        """
+        default_dict = {'areas': self.areas_loaded,
+                        'pops': 'complete', 'compute_stat': False}
+        params = ah._create_parameter_dict(default_dict, self.T, **keywords)
+        # Check if population rates have been stored with the same parameters
+        self.pop_rates = ah._check_stored_data(os.path.join(self.output_dir, 'pop_rates.json'),
+                                               params)
+
+        if self.pop_rates is None:
+            print("Computing population rates")
+            d = nested_dict()
+            d['Parameters'] = params
+
+            if params['compute_stat']:
+                for area in params['areas']:
+                    if params['pops'] == 'complete':
+                        pops = self.network.structure[area]
+                    else:
+                        pops = params['pops']
+                        total_rates = []
+                        for pop in pops:
+                            rate = ah.pop_rate(self.spike_data[area][pop],
+                                               params['t_min'],
+                                               params['t_max'],
+                                               self.network.N[area][pop])
+                            d[area][pop] = (rate[0], rate[1])
+                            total_rates += rate[2]
+                        d[area]['total'] = (np.mean(total_rates), np.std(total_rates))
+            else:
+                for area, pop in ah.model_iter(mode='single',
+                                               areas=params['areas'],
+                                               pops=params['pops']):
+                    if pop in self.network.structure[area]:
+                        spikes = self.spike_data[area][pop][:, 1]
+                        indices = np.where(np.logical_and(spikes > params['t_min'],
+                                                          spikes < params['t_max']))
+                        d[area][pop] = (indices[0].size / (self.network.N[
+                            area][pop] * (params['t_max'] - params['t_min']) / 1000.0), np.nan)
+                    else:
+                        d[area][pop] = (0., 0.)
+                for area in params['areas']:
+                    total_spikes = ah.area_spike_train(self.spike_data[area])
+                    indices = np.where(np.logical_and(total_spikes[:, 1] > params['t_min'],
+                                                      total_spikes[:, 1] < params['t_max']))
+                    d[area]['total'] = total_spikes[:, 1][indices].size / (
+                        self.network.N[area]['total'] *
+                        (params['t_max'] - params['t_min']) / 1000.0)
+            self.pop_rates = d.to_dict()
+
+    def create_pop_rate_dists(self, **keywords):
+        """
+        Calculate single neuron population rates and store them in member pop_rate_dists.
+        If the distributions had previously been stored with the
+        same parameters, they are loaded from file.
+        Relies on helper function pop_rate_distribution.
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        """
+
+        default_dict = {'areas': self.areas_loaded, 'pops': 'complete'}
+        params = ah._create_parameter_dict(
+            default_dict, self.T, **keywords)
+
+        # Check if population rates have been stored with the same parameters
+        self.pop_rate_dists = ah._check_stored_data(os.path.join(self.output_dir,
+                                                                 'pop_rate_dists.h5'), params)
+
+        if self.pop_rate_dists is None:
+            print("Computing population dists")
+            d = nested_dict()
+            d['Parameters'] = params
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area]:
+                    res = list(ah.pop_rate_distribution(self.spike_data[area][pop],
+                                                        params['t_min'],
+                                                        params['t_max'],
+                                                        self.network.N[area][pop]))
+                    d[area][pop] = {'histogram': np.array([res[0], res[1]]),
+                                    'stats': {'mu': res[2],
+                                              'sigma': res[3]}}
+            self.pop_rate_dists = d.to_dict()
+
+    def create_synchrony(self, **keywords):
+        """
+        Calculate synchrony as the coefficient of variation of the population rate
+        and store in member synchrony. Relies on helper function synchrony.
+        If the synchrony has previously been stored with the
+        same parameters, they are loaded from file.
+
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        resolution : float, optional
+            Resolution of the population rate. Defaults to 1 ms.
+        """
+
+        default_dict = {'areas': self.areas_loaded,
+                        'pops': 'complete', 'resolution': 1.0}
+        params = ah._create_parameter_dict(
+            default_dict, self.T, **keywords)
+
+        # Check if synchrony values have been stored with the same parameters
+        self.synchrony = ah._check_stored_data(os.path.join(self.output_dir, 'synchrony.json'),
+                                               params)
+
+        if self.synchrony is None:
+            print("Computing synchrony")
+            d = nested_dict()
+            d['Parameters'] = params
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area] > 0.:
+                    d[area][pop] = ah.synchrony(self.spike_data[area][pop],
+                                                self.network.N[area][pop],
+                                                params['t_min'],
+                                                params['t_max'],
+                                                resolution=params['resolution'])
+                else:
+                    d[area][pop] = np.nan
+
+            for area in params['areas']:
+                total_spikes = ah.area_spike_train(self.spike_data[area])
+                d[area]['total'] = ah.synchrony(
+                    total_spikes,
+                    self.network.N[area]['total'],
+                    params['t_min'],
+                    params['t_max'],
+                    resolution=params['resolution'])
+            self.synchrony = d.to_dict()
+
+    def create_rate_time_series(self, **keywords):
+        """
+        Calculate time series of population- and area-averaged firing rates.
+        Relies on ah.pop_rate_time_series.
+        If the rates have previously been stored with the
+        same parameters, they are loaded from file.
+
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        kernel : {'gauss_time_window', 'alpha_time_window', 'rect_time_window'}, optional
+            Specifies the kernel to be convolved with the spike histogram.
+            Defaults to 'binned', which corresponds to no convolution.
+        resolution: float, optional
+            Width of the convolution kernel. Specifically it correponds to:
+            - 'binned' : bin width of the histogram
+            - 'gauss_time_window' : sigma
+            - 'alpha_time_window' : time constant of the alpha function
+            - 'rect_time_window' : width of the moving rectangular function
+        """
+        default_dict = {'areas': self.areas_loaded, 'pops': 'complete',
+                        'kernel': 'binned', 'resolution': 1.0}
+        params = ah._create_parameter_dict(
+            default_dict, self.T, **keywords)
+
+        # Check if firing rates have been stored with the same parameters
+        fn = os.path.join(self.output_dir, 'rate_time_series.h5')
+        self.rate_time_series = ah._check_stored_data(fn, params)
+        fn = os.path.join(self.output_dir, 'rate_time_series_pops.h5')
+        self.rate_time_series_pops = ah._check_stored_data(fn, params)
+
+        if self.rate_time_series is None:
+            print('Computing rate time series')
+
+            # calculate area-averaged firing rates
+            d = nested_dict()
+            d['Parameters'] = params
+            # population-averaged firing rates
+            d_pops = nested_dict()
+            d_pops['Parameters'] = params
+
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area]:
+                    time_series = ah.pop_rate_time_series(self.spike_data[area][pop],
+                                                          self.network.N[area][pop],
+                                                          params['t_min'],
+                                                          params['t_max'],
+                                                          params['resolution'],
+                                                          kernel=params['kernel'])
+                else:
+                    time_series = np.nan*np.ones(params['t_max'] - params['t_min'])
+                d_pops[area][pop] = time_series
+
+                total_spikes = ah.area_spike_train(self.spike_data[area])
+                time_series = ah.pop_rate_time_series(total_spikes,
+                                                      self.network.N[area]['total'],
+                                                      params['t_min'],
+                                                      params['t_max'],
+                                                      params['resolution'],
+                                                      kernel=params['kernel'])
+                d[area] = time_series
+            self.rate_time_series_pops = d_pops.to_dict()
+            self.rate_time_series = d.to_dict()
+
+    def create_synaptic_input(self, **keywords):
+        """
+        Calculate synaptic input of populations and areas using the spike data.
+        Relies on function ah.pop_synaptic_input.
+        If the synaptic inputs have previously been stored with the
+        same parameters, they are loaded from file.
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        kernel : {'gauss_time_window', 'alpha_time_window', 'rect_time_window'}, optional
+            Convolution kernel for the calculation of the underlying firing rates.
+            Defaults to 'binned' which corresponds to a simple histogram.
+        resolution: float, optional
+            Width of the convolution kernel. Specifically it correponds to:
+            - 'binned' : bin width of the histogram
+            - 'gauss_time_window' : sigma
+            - 'alpha_time_window' : time constant of the alpha function
+            - 'rect_time_window' : width of the moving rectangular function
+        """
+        default_dict = {'areas': self.areas_loaded, 'pops': 'complete',
+                        'resolution': 1., 'kernel': 'binned'}
+        params = ah._create_parameter_dict(
+            default_dict, self.T, **keywords)
+
+        # Check if synaptic inputs have been stored with the same parameters
+        fn = os.path.join(self.output_dir, 'synaptic_input.h5')
+        self.synaptic_input = ah._check_stored_data(fn, params)
+        fn = os.path.join(self.output_dir, 'synaptic_input_pops.h5')
+        self.synaptic_input_pops = ah._check_stored_data(fn, params)
+
+        if self.synaptic_input is None:
+            print('Computing rate time series')
+            if 'rate_time_series' not in inspect.getmembers(self):
+                self.create_rate_time_series(**params)
+
+            d_pops = nested_dict()
+            d_pops['Parameters'] = params
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area]:
+                    if 'I' in pop:
+                        tau_syn = self.network.params['neuron_params']['single_neuron_dict']['tau_syn_in']
+                    else:
+                        tau_syn = self.network.params['neuron_params']['single_neuron_dict']['tau_syn_ex']
+#                    if pop in self.rate_time_series_pops[area]:
+                    time_series = ah.synaptic_output(self.rate_time_series_pops[area][pop],
+                                                     tau_syn, params['t_min'], params['t_max'],
+                                                     resolution=params['resolution'])
+                    # else:
+                    #     time_series = np.ones(params['t_max'] - params['t_min']) * np.nan
+                    d_pops[area][pop] = time_series
+            self.synaptic_output_pops = d_pops.to_dict()
+
+            d_pops = nested_dict()
+            d_pops['Parameters'] = params
+            d_pops['Parameters'] = params
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area]:
+                    time_series = np.zeros(
+                        (params['t_max'] - params['t_min']) / params['resolution'])
+                    for source_area, source_pop in ah.model_iter(mode='single',
+                                                                 areas=self.areas_loaded):
+                        if source_pop in self.network.structure[source_area]:
+                            weight = self.network.W[area][pop][source_area][source_pop]
+                            time_series += (self.synaptic_output_pops[source_area][source_pop] *
+                                            abs(weight) *
+                                            self.network.K[area][pop][source_area][source_pop])
+                    d_pops[area][pop] = time_series
+
+            d = nested_dict()
+            d['Parameters'] = params
+            for area in params['areas']:
+                d[area] = np.zeros(
+                    (params['t_max'] - params['t_min']) / params['resolution'])
+                for pop in self.network.structure[area]:
+                    d[area] += d_pops[area][pop] * self.network.N[area][pop]
+                d[area] /= self.network.N[area]['total']
+            self.synaptic_input = d.to_dict()
+            self.synaptic_input_pops = d_pops.to_dict()
+
+    def create_pop_cv_isi(self, **keywords):
+        """
+        Calculate population-averaged CV ISI values and store as member pop_cv_isi.
+        Relies on helper function cv_isi.
+        If the CV ISI have previously been stored with the
+        same parameters, they are loaded from file.
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        """
+
+        default_dict = {'areas': self.areas_loaded, 'pops': 'complete'}
+        params = ah._create_parameter_dict(
+            default_dict, self.T, **keywords)
+        # Check if CV ISI have been stored with the same parameters
+        self.pop_cv_isi = ah._check_stored_data(os.path.join(self.output_dir, 'pop_cv_isi.json'),
+                                                params)
+
+        if self.pop_cv_isi is None:
+            print("Computing population CV ISI")
+            d = nested_dict()
+            d['Parameters'] = params
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area] > 0.:
+                    d[area][pop] = ah.pop_cv_isi(self.spike_data[area][pop],
+                                                 params['t_min'],
+                                                 params['t_max'])
+            self.pop_cv_isi = d.to_dict()
+
+    def create_pop_LvR(self, **keywords):
+        """
+        Calculate poulation-averaged LvR (see Shinomoto et al. 2009) and
+        store as member pop_LvR. Relies on helper function LvR.
+
+        Parameters
+        ----------
+        t_min : float, optional
+            Minimal time in ms of the simulation to take into account
+            for the calculation. Defaults to 500 ms.
+        t_max : float, optional
+            Maximal time in ms of the simulation to take into account
+            for the calculation. Defaults to the simulation time.
+        areas : list, optional
+            Which areas to include in the calculcation.
+            Defaults to all loaded areas.
+        pops : list or {'complete'}, optional
+            Which populations to include in the calculation.
+            If set to 'complete', all populations the respective areas
+            are included. Defaults to 'complete'.
+        """
+        default_dict = {'areas': self.areas_loaded, 'pops': 'complete'}
+        params = ah._create_parameter_dict(
+            default_dict, self.T, **keywords)
+
+        # Check if LvR have been stored with the same parameters
+        self.pop_LvR = ah._check_stored_data(os.path.join(self.output_dir, 'pop_LvR.json'),
+                                             params)
+        if self.pop_LvR is None:
+            print("Computing population LvR")
+            d = nested_dict()
+            d['Parameters'] = params
+            for area, pop in ah.model_iter(mode='single',
+                                           areas=params['areas'],
+                                           pops=params['pops']):
+                if pop in self.network.structure[area] > 0.:
+                    if self.network.N[area][pop] > 0.:
+                        d[area][pop] = ah.pop_LvR(self.spike_data[area][pop],
+                                                  2.0,
+                                                  params['t_min'],
+                                                  params['t_max'])[0]
+        self.pop_LvR = d.to_dict()
+
+# ______________________________________________________________________________
+# Function for plotting data
+    def single_dot_display(self, area,  frac_neurons, t_min=500., t_max='T', **keywords):
+        """
+        Create raster display of a single area with populations stacked
+        onto each other. Excitatory neurons in blue, inhibitory
+        neurons in red.
+
+        Parameters
+        ----------
+        area : string {area}
+            Area to be plotted.
+        frac_neurons : float, [0,1]
+            Fraction of cells to be considered.
+        t_min : float, optional
+            Minimal time in ms of spikes to be shown. Defaults to 0 ms.
+        t_max : float, optional
+            Minimal time in ms of spikes to be shown. Defaults to simulation time.
+        output : {'pdf', 'png', 'eps'}, optional
+            If given, the function stores the plot to a file of the given format.
+
+        """
+        if t_max == 'T':
+            t_max = self.T
+
+        try:
+            fig = plt.figure()
+        except RuntimeError:
+            plt.switch_backend('agg')
+            fig = plt.figure()
+        ax = fig.add_subplot(111)
+        assert(area in self.areas_loaded)
+        # Determine number of neurons that will be plotted for this area (for vertical offset)
+        offset = 0
+        n_to_plot = {}
+        for pop in self.network.structure[area]:
+            n_to_plot[pop] = int(self.network.N[
+                                 area][pop] * frac_neurons)
+            offset = offset + n_to_plot[pop]
+        y_max = offset + 1
+        prev_pop = ''
+        yticks = []
+        yticklocs = []
+        # Loop over populations
+        for pop in self.network.structure[area]:
+            if pop[0:-1] != prev_pop:
+                prev_pop = pop[0:-1]
+                yticks.append('L' + pop[0:-1])
+                yticklocs.append(offset - 0.5 * n_to_plot[pop])
+            indices = np.where(np.logical_and(self.spike_data[area][pop] > t_min,
+                                              self.spike_data[area][pop] < t_max))
+
+            pop_data = self.spike_data[area][pop][indices[0]]
+            neurons_to_plot = np.arange(np.min(self.spike_data[area][pop][:, 0]), np.min(
+                self.spike_data[area][pop][:, 0]) + n_to_plot[pop], 1)
+            # print pop,neurons_to_plot.size
+
+            if pop.find('E') > (-1):
+                pcolor = '#595289'
+            else:
+                pcolor = '#af143c'
+
+            for k in range(n_to_plot[pop]):
+                spike_times = pop_data[
+                    pop_data[:, 0] == neurons_to_plot[k], 1]
+
+                ax.plot(spike_times, np.zeros(len(spike_times)) +
+                        offset - k, '.', color=pcolor, markersize=1)
+            offset = offset - n_to_plot[pop]
+        y_min = offset
+        ax.set_xlim([t_min, t_max])
+        ax.set_ylim([y_min, y_max])
+        ax.set_xlabel('time [ms]', size=16)
+        ax.set_ylabel('Neuron', size=16)
+
+        if 'output' in keywords:
+            plt.savefig(os.path.join(self.output_dir,
+                                     '{}_Dotplot_{}.{}'.format(self.simulation.label,
+                                                               area, keywords['output'])))
+        else:
+            fig.show()
+
+    def single_rate_display(self, area, pop=None,  t_min=None, t_max=None, **keywords):
+        """
+        Plot rates time series for a single area or population.
+        Uses rate time series stored in dictionary pop_rate_time_series.
+        Parameters
+        ----------
+        area : string {area}
+            Area to be plotted.
+        pop : string, optional
+            If given, the rate of a specific population in area is plotted.
+            Defaults to None, then the area-averaged rate is plotted.
+        t_min : float, optional
+            Minimal time in ms of spikes to be shown.
+            Defaults to minimal time of computed rate time series.
+        t_max : float, optional
+            Minimal time in ms of spikes to be shown.
+            Defaults to maximal time of computed rate time series.
+        output : {'pdf', 'png', 'eps'}, optional
+            If given, the function stores the plot to a file of the given format.
+        """
+        if pop is None:
+            rates = self.rate_time_series[area]
+            params = self.rate_time_series['Parameters']
+        else:
+            rates = self.rate_time_series_pops[area][pop]
+            params = self.rate_time_series_pops['Parameters']
+
+        if t_max is None:
+            t_max = params['t_max']
+        if t_min is None:
+            t_min = params['t_min']
+
+        i_min = int(t_min - params['t_min'])
+        i_max = int(t_max - params['t_min'])
+
+        rates = rates[i_min:i_max]
+
+        fig = plt.figure(figsize=(6, 4))
+        ax = fig.add_subplot(111)
+
+        times = np.arange(t_min, t_max, 1.0)
+
+        ax.plot(times, rates, color='k', markersize=1)
+
+        if pop:
+            ax.set_title('{} {} {}'.format(area, pop, params['kernel']))
+        else:
+            ax.set_title('{} {}'.format(area, params['kernel']))
+        ax.set_xlabel('time [ms]', size=15)
+        ax.set_ylabel('rate [1/s]', size=15)
+
+        if 'output' in keywords:
+            if pop:
+                plt.savefig(os.path.join(self.output_dir,
+                                         '{}_rate_{}_{}.{}'.format(self.simulation.label,
+                                                                   area, pop, keywords['output'])))
+            else:
+                plt.savefig(os.path.join(self.output_dir,
+                                         '{}_rate_{}.{}'.format(self.simulation.label,
+                                                                area, keywords['output'])))
+        else:
+            fig.show()
+
+    def single_power_display(self, area, pop=None, t_min=None,
+                             t_max=None, resolution=1., kernel='binned', Df=None, **keywords):
+        """
+        Plot power spectrum for a single area.
+        Directly computes the values via function 'spectrum' using
+        rate time series stored in dictionary pop_rate_time_series.
+
+        Parameters
+        ----------
+        area : string {area}
+            Area to be plotted.
+        pop : string, optional
+            If given, the rate of a specific population in area is plotted.
+            Defaults to None, then the area-averaged rate is plotted.
+        t_min : float, optional
+            Minimal time in ms of spikes to be shown.
+            Defaults to minimal time of underlying rate time series.
+        t_max : float, optional
+            Minimal time in ms of spikes to be shown.
+            Defaults to maximal time of underlying rate time series.
+        kernel : {'gauss_time_window', 'alpha_time_window', 'rect_time_window'}, optional
+            Specifies the kernel to be convolved with the spike histogram.
+            Defaults to 'binned', which corresponds to no convolution.
+        resolution: float, optional
+            Width of the convolution kernel. Specifically it correponds to:
+            - 'binned' : bin width of the histogram
+            - 'gauss_time_window' : sigma
+            - 'alpha_time_window' : time constant of the alpha function
+            - 'rect_time_window' : width of the moving rectangular function
+        Df : float, optional
+            Window width of sliding rectangular filter (smoothing) of the spectrum.
+            The default value is None and leads to no smoothing.
+        output : {'pdf', 'png', 'eps'}, optional
+            If given, the function stores the plot to a file of the given format.
+        """
+        if pop is None:
+            data = self.spike_data[area][self.network.structure[area][0]]
+            num_neur = self.network.N[area][self.network.structure[area][0]]
+            for population in self.network.structure[area][1:]:
+                data = np.vstack((data, self.spike_data[area][population]))
+                num_neur += self.network.N[area][self.network.structure[area][0]]
+        else:
+            data = self.spike_data[area][pop]
+            num_neur = self.network.N[area][pop]
+
+        if t_max is None:
+            t_max = self.T
+        if t_min is None:
+            t_min = 0.
+
+        power, freq = ah.spectrum(data, num_neur, t_min, t_max,
+                                  resolution=resolution, kernel=kernel, Df=Df)
+
+        fig = plt.figure()
+        ax = fig.add_subplot(111)
+
+        ax.plot(freq, power, color='k', markersize=3)
+        if pop:
+            ax.set_title('{} {} {}'.format(area, pop, kernel))
+        else:
+            ax.set_title('{} {}'.format(area, kernel))
+        ax.set_xlabel('Frequency [Hz]', size=16)
+        ax.set_ylabel('Power', size=16)
+        ax.set_xlim(0.0, 500.0)
+        ax.set_yscale("Log")
+
+        if 'output' in keywords:
+            if pop:
+                plt.savefig(os.path.join(self.output_dir,
+                                         '{}_power_spectrum_{}_{}.{}'.format(self.simulation.label,
+                                                                   area, pop, keywords['output'])))
+            else:
+                plt.savefig(os.path.join(self.output_dir,
+                                         '{}_power_spectrum_{}.{}'.format(self.simulation.label,
+                                                                area, keywords['output'])))
+        else:
+            fig.show()
+
+    def show_rates(self, area_list=None, **keywords):
+        """
+        Plot overview over time-averaged population rates encoded in colors
+        with areas along x-axis and populations along y-axis.
+
+        Parameters
+        ----------
+        area_list : list, optional
+           Specifies with areas are plotted in which order.
+           Default to None, leading to plotting of  all areas ordered by architectural type.
+        output : {'pdf', 'png', 'eps'}, optional
+            If given, the function stores the plot to a file of the given format.
+        """
+        if area_list is None:
+            area_list = ['V1', 'V2', 'VP', 'V3', 'PIP', 'V3A', 'MT', 'V4t', 'V4',
+                                     'PO', 'VOT', 'DP', 'MIP', 'MDP', 'MSTd', 'VIP', 'LIP',
+                                     'PITv', 'PITd', 'AITv', 'MSTl', 'FST', 'CITv', 'CITd',
+                                     '7a', 'STPp', 'STPa', 'FEF', '46', 'TF', 'TH', 'AITd']
+
+        matrix = np.zeros((len(area_list), len(self.network.structure['V1'])))
+
+        fig = plt.figure(figsize=(6, 4))
+        ax = fig.add_subplot(111)
+
+        for i, area in enumerate(area_list):
+            print(i, area)
+            for j, pop in enumerate(self.network.structure_reversed['V1']):
+                if pop in self.network.structure[area]:
+                    rate = self.pop_rates[area][pop][0]
+                    if rate == 0.0:
+                        rate = 1e-5  # To distinguish zero-rate from non-existing populations
+                else:
+                    rate = np.nan
+                matrix[i][j] = rate
+
+        cm = plt.cm.jet
+        cm = cm.from_list('mycmap', [(0., 64./255., 192./255.),  # custom dark blue
+                                     (0., 128./255., 192./255.),  # custom light blue
+                                     'white',
+                                     (245./255., 157./255., 115./255.),  # custom light red
+                                     (192./255., 64./255., 0.)], N=256)  # custom dark red
+        cm.set_under('0.3')
+        cm.set_bad('k')
+
+        matrix = np.transpose(matrix)
+        masked_matrix = np.ma.masked_where(np.isnan(matrix), matrix)
+        ax.patch.set_hatch('x')
+        im = ax.pcolormesh(masked_matrix, cmap=cm, edgecolors='None', norm=LogNorm(
+            vmin=0.01, vmax=100.))
+        ax.set_xlim(0, matrix[0].size)
+
+        x_index = np.arange(4.5, 31.6, 5.0)
+        x_ticks = [int(a + 0.5) for a in x_index]
+        y_index = list(range(len(self.network.structure['V1'])))
+        y_index = [a + 0.5 for a in y_index]
+        print(self.network.structure['V1'])
+        ax.set_xticks(x_index)
+        ax.set_xticklabels(x_ticks)
+        ax.set_yticks(y_index)
+        ax.set_yticklabels(self.network.structure_reversed['V1'])
+        ax.set_ylabel('Population', size=18)
+        ax.set_xlabel('Area index', size=18)
+        t = FixedLocator([0.01, 0.1, 1., 10., 100.])
+
+        plt.colorbar(im, ticks=t)
+
+        if 'output' in keywords:
+            plt.savefig(os.path.join(self.output_dir, '{}_rates.{}'.format(self.simulation.label,
+                                                                           keywords['output'])))
+        else:
+            fig.show()
+
+# ______________________________________________________________________________
+# Functions to store data to file
+
+    def save(self):
+        """
+        Saves all post-processed data to files.
+        """
+        members = inspect.getmembers(self)
+        save_list_json = ['structure', 'pop_rates', 'synchrony',
+                          'func_conn', 'func_conn_pops', 'pop_cv_isi',
+                          'indegree_data', 'indegree_areas_data',
+                          'outdegree_data', 'outdegree_areas_data',
+                          'pop_LvR']
+        save_list_hdf5 = ['activity_flux', 'activity_flux_pops',
+                          'pop_rate_dists', 'rate_time_series',
+                          'rate_time_series_pops', 'bold_signal',
+                          'synaptic_input', 'synaptic_input_pops']
+        for i in range(0, len(members)):
+            if members[i][0] in save_list_json:
+                f = open(self.output_dir + members[i][0] + '.json', 'w')
+                json.dump(members[i][1], f)
+                f.close()
+            if members[i][0] in save_list_hdf5:
+                f = self.output_dir + members[i][0] + '.h5'
+                h5w.save(f, members[i][1], write_mode='w')
diff --git a/multiarea_model/analysis_helpers.py b/multiarea_model/analysis_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..fc7b9b26f4f90fc542996a1297e5066eef597fd0
--- /dev/null
+++ b/multiarea_model/analysis_helpers.py
@@ -0,0 +1,775 @@
+# -*- coding: utf-8 -*-
+
+"""
+analysis_helpers
+============
+
+Helper and analysis functions to support ana_vistools and
+the analysis of simulations of the multi-area model of
+macaque visual cortex (Schmidt et al. 2018).
+
+
+Functions
+--------
+_create_parameter_dict : Create parameter dict for functions of data class.
+_check_stored_data : Check if stored data was computed with the correct Parameters.
+online_hist : Compute spike histogram on a spike file line by line.
+pop_rate : Compute average firing rate.
+pop_rate_distribution : Compute distribution of single-cell firing rates.
+pop_rate_time_series : Compute time series of population rate.
+Regularity measures:
+    - pop_cv_isi : Compute population-averaged CV ISI.
+    - pop_LvR: Compute average LvR of neuronal population.
+
+Synchrony measures :
+    - synchrony : CV of population rate.
+    - synchrony_subthreshold : Synchrony measure on membrane potentials.
+    - spike_synchrony : Synchrony measure on population rate.
+
+spectrum : Compound power spectrum of a neuronal population.
+synaptic_output : Synaptic output of neuronal population.
+compare : Compare two simulations with each other.
+
+
+Authors
+--------
+Maximilian Schmidt
+Sacha van Albada
+
+"""
+
+import copy
+import numpy as np
+import h5py_wrapper.wrapper as h5w
+import json
+from itertools import product
+from scipy.signal import welch
+#################################
+
+
+area_list = ['V1', 'V2', 'VP', 'V3', 'PIP', 'V3A', 'MT', 'V4t', 'V4',
+             'PO', 'VOT', 'DP', 'MIP', 'MDP', 'MSTd', 'VIP', 'LIP',
+             'PITv', 'PITd', 'AITv', 'MSTl', 'FST', 'CITv', 'CITd',
+             '7a', 'STPp', 'STPa', 'FEF', '46', 'TF', 'TH', 'AITd']
+pop_list = ['23E', '23I', '4E',  '4I', '5E', '5I', '6E', '6I']
+
+
+def model_iter(mode='single', areas=None, pops='complete', areas2=None, pops2='complete'):
+    """
+    Helper function to create a an iterator over all possible pairs of
+    populations in the model, possible restricted by specifying areas
+    or pops.
+
+    Parameters
+    ----------
+    mode : {'single', 'pairs'}, optional
+        If equal to 'single', loop over all populations of all areas.
+        If equal to 'pairs', loop over all pairs of
+        populations of all areas.
+        Defaults to 'single'.
+
+    areas, areas2 : list, optional
+        If specified, loop only over these areas as target and source areas.
+        Defaults to None, which correspons to taking all areas into account.
+    pops, pops2 : string or list, optional
+        If specified, loop only over these populations as target and source
+        populations. Defaults to 'complete', which correspons to taking all
+        areas into account.
+
+    Returns
+    -------
+    iterator : iterator
+        Cartesian product of 2 ('single' mode) or 4 ('double' mode) lists
+    """
+    if mode == 'single':
+        assert((areas2 is None) and (pops2 is 'complete'))
+    if pops == 'complete':
+        pops = pop_list
+    if areas is None:
+        areas = area_list
+    if pops2 == 'complete':
+        pops2 = pop_list
+    if areas2 is None:
+        areas2 = area_list
+    if mode == 'single':
+        return product(areas, pops)
+    elif mode == 'pairs':
+        return product(areas, pops, areas2, pops2)
+
+
+def area_spike_train(spike_data):
+    """
+    Helper function to create one spike train for an area from
+    the spike trains of the single populations.
+
+    Parameters
+    ----------
+    spike_data : dict
+        Dictionary containing the populations as keys
+        and their spike trains as values. Spike trains
+        are stored as 2D arrays with GIDs in the 1st column
+        and time stamps in the 2nd column.
+
+    Returns
+    -------
+    data_array : numpy.ndarray
+    """
+    data_array = np.array([])
+    for pop in spike_data:
+        data_array = np.append(data_array, spike_data[pop])
+    data_array = np.reshape(data_array, (len(data_array) * 0.5, 2))
+    return data_array
+
+
+def centralize(data, time=False, units=False):
+    """
+    Code written by David Dahmen and Jakob Jordan,
+    available from https://github.com/INM-6/correlation-toolbox .
+
+    Set mean of the given data to zero by averaging either
+    across time or units.
+    """
+
+    assert(time is not False or units is not False)
+    res = copy.copy(data)
+    if time is True:
+        res = np.array([x - np.mean(x) for x in res])
+    if units is True:
+        res = np.array(res - np.mean(res, axis=0))
+    return res
+
+
+def sort_gdf_by_id(data, idmin=None, idmax=None):
+    """
+    Code written by David Dahmen and Jakob Jordan,
+    available from https://github.com/INM-6/correlation-toolbox .
+
+    Sort gdf data [(id,time),...] by neuron id.
+
+    Parameters
+    ----------
+
+    data: numpy.array (dtype=object) with lists ['int', 'float']
+          The nest output loaded from gdf format. Each row contains a global id
+    idmin, idmax : int, optional
+            The minimum/maximum neuron id to be considered.
+
+    Returns
+    -------
+    ids : list of ints
+          Neuron ids, e.g., [id1,id2,...]
+    srt : list of lists of floats
+          Spike trains corresponding to the neuron ids, e.g., [[t1,t2,...],...]
+    """
+
+    assert((idmin is None and idmax is None)
+           or (idmin is not None and idmax is not None))
+
+    if len(data) > 0:
+        # get neuron ids
+        if idmin is None and idmax is None:
+            ids = np.unique(data[:, 0])
+        else:
+            ids = np.arange(idmin, idmax+1)
+        srt = []
+        for i in ids:
+            srt.append(np.sort(data[np.where(data[:, 0] == i)[0], 1]))
+        return ids, srt
+    else:
+        print('CT warning(sort_spiketrains_by_id): empty gdf data!')
+        return None, None
+
+# ______________________________________________________________________________
+# Helper functions for data loading
+
+
+def _create_parameter_dict(default_dict, T, **keywords):
+    """
+    Create the parameter dict for the members of the data class.
+
+    Parameters
+    ----------
+    default_dict : dict
+        Default dictionary of the function calling this function.
+    T : float
+        Maximal time of the simulation of the data class calling.
+
+    Returns
+    -------
+    d : dict
+        Parameter dictionary.
+    """
+    d = default_dict
+    if 't_min' not in keywords:
+        t_min = 500.
+        d.update({'t_min': t_min})
+    if 't_max' not in keywords:
+        t_max = T
+        d.update({'t_max': t_max})
+    d.update(keywords)
+    return d
+
+
+def _check_stored_data(fn, param_dict):
+    """
+    Check if a data member of the data class has already
+    been computed with the same parameters.
+
+    Parameters
+    ----------
+    fn : string
+        Filename of the file containing the data.
+    param_dict : dict
+        Parameters of the calculation to compare with
+        the parameters of the stored data.
+    """
+    if 'json' in fn:
+        try:
+            f = open(fn)
+            data = json.load(f)
+            f.close()
+        except IOError:
+            return None
+    elif 'hdf5' in fn:
+        try:
+            data = h5w.load(fn)
+        except IOError:
+            return None
+    param_dict2 = data['Parameters']
+    param_dict_copy = copy.copy(param_dict)
+    param_dict2_copy = copy.copy(param_dict2)
+    for k in param_dict:
+        if isinstance(param_dict_copy[k], list) or isinstance(param_dict_copy[k], np.ndarray):
+            param_dict_copy[k] = set(param_dict_copy[k])
+        if isinstance(param_dict2_copy[k], list) or isinstance(param_dict2_copy[k], np.ndarray):
+            param_dict2_copy[k] = set(param_dict2_copy[k])
+    if param_dict_copy == param_dict2_copy:
+        print("Loading data from file")
+        return data
+    else:
+        print("Stored data have been computed "
+              "with different parameters")
+        return None
+
+# ______________________________________________________________________________
+# Analysis functions
+
+
+def online_hist(fname, tmin, tmax, resolution=1.):
+    """
+    Compute spike histogram from gdf file by reading line after line.
+    Avoids reading in the entire file first, which makes it more suitable
+    for very large spike files.
+
+    Parameters
+    ----------
+    fname : string
+        Name of file to be read.
+    tmin : float
+        Minimal time for the calculation of the histogram.
+    tmax : float
+        Maximal time for the calculation of the histogram.
+    resolution : float, optional
+        Bin width of the histogram. Defaults to 1 ms.
+
+    Returns
+    -------
+    bins : numpy.ndarray
+        Array containing the left edges of the histogram bins
+    valyes : numpy.ndarray
+        Array containing the population rate value in each bin
+    """
+    gdf_file = open(fname, 'r')
+    bins = np.arange(tmin, tmax + resolution, resolution) + resolution / 2.
+    vals = np.zeros_like(bins)
+    current_bin_index = 0
+    for l in gdf_file:
+        data = l.split()
+        if np.logical_and(float(data[1]) > tmin, float(data[1]) < tmax):
+            while float(data[1]) >= bins[current_bin_index + 1]:
+                current_bin_index += 1
+            vals[current_bin_index] += 1
+        elif float(data[1]) > tmax:
+            break
+    return bins[:-1], vals[:-1] / (resolution / 1000.)
+
+
+def pop_rate(data_array, t_min, t_max, num_neur):
+    """
+    Calculates firing rate of a given array of spikes.
+    Rates are calculated in spikes/s. Assumes spikes are sorted according to time.
+    First calculates rates for individual neurons and then averages over neurons.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Array with spike data.
+        column 0: neuron_ids, column 1: spike times
+    tmin : float
+        Minimal time stamp to be considered in ms.
+    tmax : float
+        Maximal time stamp to be considered in ms.
+    num_neur: int
+        Number of recorded neurons. Needs to provided explicitly
+        to avoid corruption of results by silent neurons not
+        present in the given data.
+    Returns
+    -------
+    mean : float
+        Mean firing rate across neurons.
+    std : float
+        Standard deviation of firing rate distribution.
+    rates : list
+        List of single-cell firing rates.
+    """
+
+    indices = np.where(np.logical_and(data_array[:, 1] > t_min,
+                                      data_array[:, 1] < t_max))
+    rates = []
+    data_array = data_array[indices]
+    data_array = data_array[np.argsort(data_array[:, 0])]
+    last_index = 0
+    for i in np.unique(data_array[:, 0]):
+        num_spikes = np.argmax(data_array[:, 0] > i) - last_index
+        if num_spikes > 0:
+            rates.append(num_spikes / ((t_max - t_min) / 1000.))
+        else:  # we arrived at the last neuron
+            rates.append((data_array[:, 0].size - last_index) / ((t_max -
+                                                                  t_min) / 1000.))
+        last_index += num_spikes
+    while len(rates) < num_neur:
+        rates.append(0.0)
+    if (num_neur > 0. and t_max != t_min and len(data_array) > 0 and
+            len(indices) > 0):
+        mean = np.mean(rates)
+        std = np.std(rates)
+        return mean, std, rates
+    else:
+        return 0.0, 0.0, []
+
+
+def pop_rate_distribution(data_array, t_min, t_max, num_neur):
+    """
+    Calculates firing rate distribution over neurons in a given array of spikes.
+    Rates are calculated in spikes/s. Assumes spikes are sorted according to time.
+    First calculates rates for individual neurons and then averages over neurons.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Array with spike data.
+        column 0: neuron_ids, column 1: spike times
+    tmin : float
+        Minimal time stamp to be considered in ms.
+    tmax : float
+        Maximal time stamp to be considered in ms.
+    num_neur: int
+        Number of recorded neurons. Needs to provided explicitly
+        to avoid corruption of results by silent neurons not
+        present in the given data.
+
+    Returns
+    -------
+    bins : numpy.ndarray
+        Left edges of the distribution bins
+    vals : numpy.ndarray
+        Values of the distribution
+    mean : float
+        Arithmetic mean of the distribution
+    std : float
+        Standard deviation of the distribution
+    """
+    indices = np.where(np.logical_and(data_array[:, 1] > t_min,
+                                      data_array[:, 1] < t_max))
+    neurons = data_array[:, 0][indices]
+    neurons = np.sort(neurons)
+    n = neurons[0]
+    rates = np.zeros(num_neur)
+    ii = 0
+    for i in range(neurons.size):
+        if neurons[i] == n:
+            rates[ii] += 1
+        else:
+            n = neurons[i]
+            ii += 1
+    rates /= (t_max - t_min) / 1000.
+    vals, bins = np.histogram(rates, bins=100)
+    vals = vals / float(np.sum(vals))
+    if num_neur > 0. and t_max != t_min and len(data_array) > 0 and len(indices) > 0:
+        return bins[0:-1], vals, np.mean(rates), np.std(rates)
+    else:
+        return np.arange(0, 20., 20. / 100.), np.zeros(100), 0.0, 0.0
+
+
+def pop_rate_time_series(data_array, num_neur, t_min, t_max,
+                         resolution=10., kernel='binned'):
+    """
+    Computes time series of the population-averaged rates of a group of neurons.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Array with spike data.
+        column 0: neuron_ids, column 1: spike times
+    tmin : float
+        Minimal time for the calculation.
+    tmax : float
+        Maximal time for the calculation.
+    num_neur: int
+        Number of recorded neurons. Needs to provided explicitly
+        to avoid corruption of results by silent neurons not
+        present in the given data.
+    kernel : {'gauss_time_window', 'alpha_time_window', 'rect_time_window'}, optional
+        Specifies the kernel to be convolved with the spike histogram.
+        Defaults to 'binned', which corresponds to no convolution.
+    resolution: float, optional
+        Width of the convolution kernel. Specifically it correponds to:
+        - 'binned' : bin width of the histogram
+        - 'gauss_time_window' : sigma
+        - 'alpha_time_window' : time constant of the alpha function
+        - 'rect_time_window' : width of the moving rectangular function
+        Defaults to 1 ms.
+
+    Returns
+    -------
+    time_series : numpy.ndarray
+        Time series of the population rate
+    """
+    if kernel == 'binned':
+        rate, times = np.histogram(data_array[:, 1], bins=int((t_max - t_min) / (resolution)),
+                                   range=(t_min + resolution / 2., t_max + resolution / 2.))
+        rate = rate / (num_neur * resolution / 1000.0)
+        rates = np.array([])
+        last_time_step = times[0]
+
+        for ii in range(1, times.size):
+            rates = np.append(
+                rates, rate[ii - 1] * np.ones_like(np.arange(last_time_step, times[ii], 1.0)))
+            last_time_step = times[ii]
+
+        time_series = rates
+    else:
+        spikes = data_array[:, 1][data_array[:, 1] > t_min]
+        spikes = spikes[spikes < t_max]
+        binned_spikes = np.histogram(spikes, bins=int(
+            (t_max - t_min)), range=(t_min, t_max))[0]
+        if kernel == 'rect_time_window':
+            kernel = np.ones(int(resolution)) / resolution
+        if kernel == 'gauss_time_window':
+            sigma = resolution
+            time_range = np.arange(-0.5 * (t_max - t_min),
+                                   0.5 * (t_max - t_min), 1.0)
+            kernel = 1 / (np.sqrt(2.0 * np.pi) * sigma) * \
+                np.exp(-(time_range ** 2 / (2 * sigma ** 2)))
+        if kernel == 'alpha_time_window':
+            alpha = 1 / resolution
+            time_range = np.arange(-0.5 * (t_max - t_min),
+                                   0.5 * (t_max - t_min), 1.0)
+            time_range[time_range < 0] = 0.0
+            kernel = alpha * time_range * np.exp(-alpha * time_range)
+
+        rate = np.convolve(kernel, binned_spikes, mode='same')
+        rate = rate / (num_neur / 1000.0)
+        time_series = rate
+
+    return time_series
+
+# Regularity measures
+
+
+def pop_cv_isi(data_array, t_min, t_max):
+    """
+    Calculate coefficient of variation of interspike intervals
+    between t_min and t_max for every single neuron in data_array
+    and average the result over neurons in data_array.
+    Assumes spikes are sorted according to time.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Array with spike data.
+        column 0: neuron_ids, column 1: spike times
+    tmin : float
+        Minimal time stamp to be considered in ms.
+    tmax : float
+        Maximal time stamp to be considered in ms.
+
+    Returns
+    -------
+    mean : float
+        Mean CV ISI value of the population
+    """
+    cv_isi = []
+    indices = np.where(np.logical_and(data_array[:, 1] > t_min,
+                                      data_array[:, 1] < t_max))[0]
+    if len(data_array) > 1 and len(indices) > 1:
+        for i in np.unique(data_array[:, 0]):
+            intervals = np.diff(data_array[indices][
+                                np.where(data_array[indices, 0] == i), 1])
+            if (len(intervals) > 0):
+                cv_isi.append(np.std(intervals) / np.mean(intervals))
+        if len(cv_isi) > 0:
+            return np.mean(cv_isi)
+        else:
+            return 0.0
+    else:
+        print('cv_isi: no or only one spike in data_array, returning 0.0')
+        return 0.0
+
+
+def ISI_SCC(data_array, t_min, t_max):
+    """
+    Computes the serial correlation coefficient of
+    inter-spike intervals of the given spike data.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Arrays with spike data.
+        column 0: neuron_ids, column 1: spike times
+    t_min : float
+        Minimal time for the calculation.
+    t_max : float
+        Maximal time for the calculation.
+
+
+    Return
+    -------
+    bins : numpy.ndarray
+        ISI lags
+    valyes : numpy.ndarray
+        Serial correlation coefficient values
+    """
+    indices = np.where(np.logical_and(data_array[:, 1] > t_min,
+                                      data_array[:, 1] < t_max))
+    scc_averaged = np.zeros(max(1001, 2 * (t_max - t_min) + 1))
+    half = max(1000, 2 * (t_max - t_min)) / 2.0
+    if len(data_array) > 1 and len(indices) > 1:
+        for i in np.unique(data_array[:, 0]):
+            print(i)
+            intervals = np.diff(data_array[indices][
+                                mlab.find(data_array[indices, 0] == i), 1])
+
+            if intervals.size > 1:
+                mean = np.mean(intervals)
+                scc = (np.correlate(intervals, intervals, mode='full') - mean ** 2) / (
+                    np.mean(intervals ** 2) - mean ** 2)
+                scc_averaged[half - scc.size /
+                             2:half + scc.size / 2 + 1] += scc
+
+        scc_averaged = scc_averaged / np.unique(data_array[:, 0]).size
+        return np.arange(-half, half + 1, 1), scc_averaged / np.sum(scc_averaged)
+    else:
+        print('cv_isi: no or only one spike in data_array, returning 0.0')
+        return 0.0
+
+
+
+def pop_LvR(data_array, t_ref, t_min, t_max):
+    """
+    Compute the LvR value of the given data_array.
+    See Shinomoto et al. 2009 for details.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Arrays with spike data.
+        column 0: neuron_ids, column 1: spike times
+    t_ref : float
+        Refractory period of the neurons.
+    t_min : float
+        Minimal time for the calculation.
+    t_max : float
+        Maximal time for the calculation.
+
+    Returns
+    -------
+    mean : float
+        Population-averaged LvR.
+    LvR : numpy.ndarray
+        Single-cell LvR values
+    """
+    i_min = np.searchsorted(data_array[:, 1], t_min)
+    i_max = np.searchsorted(data_array[:, 1], t_max)
+    LvR = np.array([])
+    for i in np.unique(data_array[:, 0]):
+        intervals = np.diff(data_array[i_min:i_max][
+                            mlab.find(data_array[i_min:i_max, 0] == i), 1])
+        if intervals.size > 1:
+            val = np.sum((1. - 4 * intervals[0:-1] * intervals[1:] / (intervals[0:-1] + intervals[
+                         1:]) ** 2) * (1 + 4 * t_ref / (intervals[0:-1] + intervals[1:])))
+            LvR = np.append(LvR, val * 3 / (intervals.size - 1.))
+        else:
+            LvR = np.append(LvR, 0.0)
+    return np.mean(LvR), LvR
+
+
+# Synchrony measures
+def synchrony(data_array, num_neur, t_min, t_max, resolution=1.0):
+    """
+    Compute the synchrony of an array of spikes as the coefficient
+    of variation of the population rate.
+    Uses pop_rate_time_series().
+
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Array with spike data.
+        column 0: neuron_ids, column 1: spike times
+    tmin : float
+        Minimal time for the calculation of the histogram in ms.
+    tmax : float
+        Maximal time for the calculation of the histogram in ms.
+    resolution : float, optional
+        Bin width of the histogram. Defaults to 1 ms.
+
+    Returns
+    -------
+    synchrony : float
+        Synchrony of the population.
+    """
+    spike_count_histogramm = pop_rate_time_series(
+        data_array, num_neur, t_min, t_max, resolution=resolution)
+    mean = np.mean(spike_count_histogramm)
+    variance = np.var(spike_count_histogramm)
+    synchrony = variance / mean
+    return synchrony
+
+
+def spectrum(data_array, num_neur, t_min, t_max, resolution=1., kernel='binned', Df=None):
+    """
+    Compute compound power spectrum of a population of neurons.
+    Uses the powerspec function of the correlation toolbox.
+
+    Parameters
+    ----------
+    data_array : numpy.ndarray
+        Array with spike data.
+        column 0: neuron_ids, column 1: spike times
+    t_min : float
+        Minimal time for the calculation of the histogram in ms.
+    t_max : float
+        Maximal time for the calculation of the histogram in ms.
+    num_neur: int
+        Number of recorded neurons. Needs to provided explicitly
+        to avoid corruption of results by silent neurons not
+        present in the given data.
+    kernel : {'gauss_time_window', 'alpha_time_window', 'rect_time_window'}, optional
+        Specifies the kernel to be convolved with the spike histogram.
+        Defaults to 'binned', which corresponds to no convolution.
+    resolution: float, optional
+        Width of the convolution kernel. Specifically it correponds to:
+        - 'binned' : bin width of the histogram
+        - 'gauss_time_window' : sigma
+        - 'alpha_time_window' : time constant of the alpha function
+        - 'rect_time_window' : width of the moving rectangular function
+        Defaults to 1 ms.
+    Df : float, optional
+        Window width of sliding rectangular filter (smoothing) of the spectrum.
+        The default value is None and leads to no smoothing.
+
+    Returns
+    -------
+    power : numpy.ndarray
+        Values of the power spectrum.
+    freq : numpy.ndarray
+        Discrete frequency values
+    """
+    rate = pop_rate_time_series(
+        data_array, num_neur, t_min, t_max, kernel=kernel, resolution=resolution)
+    rate = centralize(rate, units=True)
+    freq, power = welch(rate, fs=1.e3,
+                        noverlap=1000, nperseg=1024)
+    return power[0][freq > 0], freq[freq > 0]
+
+
+def synaptic_output(rate, tau_syn, t_min, t_max, resolution=1.):
+    """
+    Compute the synaptic output of a population of neurons.
+    Convolves the population spike histogram with an exponential
+    synaptic filter.
+
+    Parameters
+    ----------
+    rate : numpy.ndarray
+        Time series of the population rate.
+    tau_syn : float
+        Synaptic time constant of the single neurons
+    t_min : float
+        Minimal time for the calculation.
+    t_max : float
+        Maximal time for the calculation.
+    resolution : float, optional
+        Time resolution of the synaptic filtering kernel in ms.
+        Defaults to 1 ms.
+
+    """
+    t = np.arange(0., 20., resolution)
+    kernel = np.exp(-t / tau_syn)
+    syn_current = np.convolve(kernel, rate, mode='same')
+    return syn_current
+
+
+def compare(sim1, sim2):
+    """
+    Compares two simulations (2 instances of the ana_vistools data class)
+    in regards of their parameters.
+
+    Parameters
+    ----------
+    sim1, sim2 : ana_vistools.data
+        The two instances of the ana_vistools.data classe to be compared.
+
+    Returns
+    -------
+    None
+    """
+
+    template = "{0:30}{1:20}{2:25}{3:15}"
+    print(template.format("parameter", sim1.label[0:5], sim2.label[0:5], "equal?"))
+
+    info1 = sim1.sim_info
+    info2 = sim2.sim_info
+    compare_keys = []
+    for key in list(info1.keys()) + list(info2.keys()):
+        p = False
+        if key in list(info1.keys()):
+            value = info1[key]
+        else:
+            value = info2[key]
+
+        if isinstance(value, str):
+            # To exclude paths from the compared keys
+            if (value.find('_') == -1 and
+                value.find('/') == -1 and
+                    value.find('.') == -1):
+                p = True
+        else:
+            p = True
+
+        if key in ['sim_label', 'K_stable_path']:
+            p = False
+        if p and key not in compare_keys:
+            compare_keys.append(key)
+    for key in compare_keys:
+        if key in info2 and key in info1:
+            out = (key, str(info1[key]),  str(info2[
+                    key]), info1[key] == info2[key])
+        elif key not in info1:
+            out = (key, '', str(info2[key]), 'false')
+        elif key not in info2:
+            out = (key, str(info1[key]),  '', 'false')
+        print(template.format(*out))
+    # Compare sum of indegrees
+    s1 = 0.
+    s2 = 0.
+    for area1 in sim1.areas:
+        for pop1 in sim1.structure[area1]:
+            for area2 in sim1.areas:
+                for pop2 in sim1.structure[area2]:
+                    s1 += sim1.indegree_data[area1][pop1][area2][pop2]
+                    s2 += sim2.indegree_data[area1][pop1][area2][pop2]
+
+    out = ('indegrees', str(s1),  str(s2), s1 == s2)
+    print(template.format(*out))
diff --git a/multiarea_model/data_multiarea/Model.py b/multiarea_model/data_multiarea/Model.py
new file mode 100644
index 0000000000000000000000000000000000000000..b51f0150d052dd26a5b78cd565542dfeed31ec34
--- /dev/null
+++ b/multiarea_model/data_multiarea/Model.py
@@ -0,0 +1,1017 @@
+"""
+Model
+================
+
+This script defines the model described in Schmidt et al. (2017).
+The procedures are described in detail in the Methods section of
+Schmidt et al. (2017).
+It loads the data prepared by VisualCortexData.py and computes
+neuronal numbers for each population, the external inputs
+to each population and the number of synapses of each connection
+in the network. These data are written out to json files.
+
+Authors
+--------
+Maximilian Schmidt
+Sacha van Albada
+
+"""
+
+import numpy as np
+import json
+import re
+import sys
+import os
+import scipy
+import scipy.integrate
+import pprint
+from copy import deepcopy
+from nested_dict import nested_dict
+from itertools import product
+# from .. import default_params as defpar
+from ..default_params import network_params, nested_update
+from .VisualCortex_Data import process_raw_data
+
+
+def compute_Model_params(out_label='', mode='default'):
+    """
+    Compute the parameters of the network, in particular the size
+    of populations, external inputs to them, and number of synapses
+    in every connection.
+
+    Parameters
+    ----------
+    out_label : str
+        label that is appended to the output files.
+    mode : str
+        Mode of the function. There are three different modes:
+        - default mode (mode='default')
+          In default mode, all parameters are set to their default
+          values defined in default_params.py .
+        - custom mode (mode='custom')
+          In custom mode, custom parameters are loaded from a json file
+          that has to be stored in 'custom_data_files' and named as
+          'custom_$(out_label)_parameter_dict.json' where $(out_label)
+         is the string defined in `out_label`.
+    """
+    basepath = os.path.abspath(os.path.join(os.path.dirname(__file__)))
+
+    # Load and process raw data
+    process_raw_data()
+    if sys.argv[-1] in ['local']:
+        raw_fn = os.path.join(basepath, '.'.join(('_'.join('viscortex_raw_data',
+                                                           out_label),
+                                                 'json')))
+        proc_fn = os.path.join(basepath, '.'.join(('_'.join('viscortex_proc_data',
+                                                            out_label),
+                                                  'json')))
+    else:
+        raw_fn = os.path.join(basepath, 'viscortex_raw_data.json')
+        proc_fn = os.path.join(basepath, 'viscortex_processed_data.json')
+
+    """
+    Load data
+    """
+    with open(raw_fn, 'r') as f:
+        raw_data = json.load(f)
+    with open(proc_fn, 'r') as f:
+        processed_data = json.load(f)
+
+    FLN_EDR_completed = processed_data['FLN_completed']
+    SLN_Data = processed_data['SLN_completed']
+    Coco_Data = processed_data['cocomac_completed']
+    Distance_Data = raw_data['median_distance_data']
+    Area_surfaces = raw_data['surface_data']
+    Intra_areal = raw_data['Intrinsic_Connectivity']
+    total_thicknesses = processed_data['total_thicknesses']
+    laminar_thicknesses = processed_data['laminar_thicknesses']
+    Intrinsic_FLN_Data = raw_data['Intrinsic_FLN_Data']
+    neuronal_numbers_fullscale = processed_data['realistic_neuronal_numbers']
+    num_V1 = raw_data['num_V1']
+    binzegger_data = raw_data['Binzegger_Data']
+
+    """
+    Define area and population lists.
+    Define termination and origin patterns according
+    to Felleman and van Essen 91
+    """
+    # This list of areas is ordered according
+    # to their architectural type
+    area_list = ['V1', 'V2', 'VP', 'V3', 'V3A', 'MT', 'V4t', 'V4', 'VOT', 'MSTd',
+                 'PIP', 'PO', 'DP', 'MIP', 'MDP', 'VIP', 'LIP', 'PITv', 'PITd',
+                 'MSTl', 'CITv', 'CITd', 'FEF', 'TF', 'AITv', 'FST', '7a', 'STPp',
+                 'STPa', '46', 'AITd', 'TH']
+    population_list = ['23E', '23I', '4E', '4I', '5E', '5I', '6E', '6I']
+    termination_layers = {'F': ['4'], 'M': ['1', '23', '5', '6'], 'C': [
+        '1', '23', '4', '5', '6'], 'S': ['1', '23']}
+    termination_layers2 = {'F': [4], 'M': [
+        1, 2, 3, 5, 6], 'C': [1, 2, 3, 4, 5, 6], 'S': [1, 2, 3]}
+    origin_patterns = {'S': ['23E'], 'I': ['5E', '6E'], 'B': ['23E', '5E', '6E']}
+
+    binzegger_pops = list(binzegger_data.keys())
+    binzegger_I_pops = [binzegger_pops[i] for i in range(
+        len(binzegger_pops)) if binzegger_pops[i].find('b') != -1]
+    binzegger_E_pops = [binzegger_pops[i] for i in range(
+        len(binzegger_pops)) if binzegger_pops[i].find('b') == -1]
+
+    # Create structure dictionary with entries for each area
+    # and population that actually contains neurons
+    structure = {}
+    for area in area_list:
+        structure[area] = []
+        for pop in population_list:
+            if neuronal_numbers_fullscale[area][pop] > 0.0:
+                structure[area].append(pop)
+
+    """
+    If run in custom mode, load custom parameter file and
+    overwrite default by custom values for parameters specified
+    in the parameter file.
+    """
+    net_params = deepcopy(network_params)
+    if mode == 'default':
+        prefix = 'default'
+    elif mode == 'custom':
+        prefix = 'custom_data_files/custom'
+        with open(os.path.join(basepath, '.'.join(('_'.join((prefix,
+                                                             out_label,
+                                                             'parameter_dict')),
+                                                   'json'))), 'r') as f:
+            custom_params = json.load(f)
+        nested_update(net_params, custom_params)
+        # print information on overwritten parameters
+        print("\n")
+        print("========================================")
+        print("Customized parameters")
+        print("--------------------")
+        pprint.pprint(custom_params)
+        print("========================================")
+
+    """
+    Define parameter values
+    """
+    # surface area of each area in mm^2
+    surface = net_params['surface']
+
+    conn_params = net_params['connection_params']
+
+    # average indegree in V1 to compute
+    # synaptic volume density (determined for V1 and
+    # taken to be constant across areas)
+    av_indegree_V1 = conn_params['av_indegree_V1']
+
+    # Increase the external poisson indegree onto 5E and 6E
+    fac_nu_ext_5E = conn_params['fac_nu_ext_5E']
+    fac_nu_ext_6E = conn_params['fac_nu_ext_6E']
+    # to increase the ext. input to 23E and 5E in area TH
+    fac_nu_ext_TH = conn_params['fac_nu_ext_TH']
+
+    # Single neuron parameters, important to determine synaptic weights
+    single_neuron_dict = net_params['neuron_params']['single_neuron_dict']
+    C_m = single_neuron_dict['C_m']
+    tau_m = single_neuron_dict['tau_m']
+    tau_syn_ex = single_neuron_dict['tau_syn_ex']
+    tau_syn_in = single_neuron_dict['tau_syn_in']
+
+    # synapse weight parameters for current-based neurons
+    # excitatory intracortical synaptic weight (mV)
+    PSP_e = conn_params['PSP_e']
+    PSP_e_23_4 = conn_params['PSP_e_23_4']
+    # synaptic weight (mV) for external input
+    PSP_ext = conn_params['PSP_ext']
+    # relative strength of inhibitory versus excitatory synapses for CUBA neurons
+    g = conn_params['g']
+
+    # relative SD of normally distributed synaptic weights
+    PSC_rel_sd_normal = conn_params['PSC_rel_sd_normal']
+    # relative SD of lognormally distributed synaptic weights
+    PSC_rel_sd_lognormal = conn_params['PSC_rel_sd_lognormal']
+
+    # scaling factor for cortico-cortical connections (chi)
+    cc_weights_factor = conn_params['cc_weights_factor']
+    # factor to scale cortico-cortical inh. weights in relation to exc. weights (chi_I)
+    cc_weights_I_factor = conn_params['cc_weights_I_factor']
+
+    # switch whether to distribute weights lognormally
+    lognormal_weights = conn_params['lognormal_weights']
+    # switch whether to distribute only EE weight lognormally if
+    # switch_lognormal_weights = True
+    lognormal_EE_only = conn_params['lognormal_EE_only']
+
+    # whether to redistribute CC synapse to meet literature value
+    # of E-specificity
+    E_specificity = True
+
+    """
+    Data processing
+    ===============
+
+    Neuronal numbers
+    ----------------
+    """
+    # Determine a synaptic volume density for each area
+    rho_syn = {}
+    for area in area_list:
+        # note: the total thickness includes L1. Since L1 can be approximated
+        # as having no neurons, rho_syn is a synapse density across all layers.
+        rho_syn[area] = av_indegree_V1 * neuronal_numbers_fullscale['V1']['total'] / \
+                        (Area_surfaces['V1'] * total_thicknesses['V1'])
+
+    # Compute population sizes by scaling the realistic population
+    # sizes down to the assumed area surface
+    neuronal_numbers = {}
+    for a in neuronal_numbers_fullscale:
+        neuronal_numbers[a] = {}
+        for pop in neuronal_numbers_fullscale[a]:
+            neuronal_numbers[a][pop] = neuronal_numbers_fullscale[
+                a][pop] / Area_surfaces[a] * surface
+
+    """
+    Intrinsic synapses
+    ------------------
+    The workflow is as follows:
+    1. Compute the connection probabilities C'(R) of the
+       microcircuit of Potjans & Diesmann (2014) depending on the area radius.
+       For this, transform the connection probabilities from
+       Potjans & Diesmann (2014), computed with a different
+       method of averaging the Gaussian, called C_PD14 (R).
+       Then, compute the in-degrees for a microcircuit with
+       realistic surface and 1mm2 surface.
+
+    2. Transform this to each area with its specific laminar
+       compositions with an area-specific conversion factor
+       based on the preservation of relative in-degree between
+       different connections.
+
+    3. Compute number of type I synapses.
+
+    4. Compute number of type II synapses as the difference between
+       synapses within the full-size area and the 1mm2 area.
+    """
+
+    """
+    1. Radius-dependent connection probabilities of the microcircuit.
+    """
+
+    # constants for the connection probability transfer
+    # from Potjans & Diesmann (2104) (PD14)
+    sigma = 0.29653208289812366  # mm
+    C0 = 0.1429914097112598
+
+    # compute average connection probability with method from PD14
+    r_PD14 = np.sqrt(1. / np.pi)
+    C_prime_mean_PD14 = 2. / (r_PD14 ** 2) * C0 * sigma ** 2 * \
+        (1. - np.exp(-r_PD14 ** 2 / (2 * sigma ** 2)))
+
+    # New calculation based on Sheng (1985), The distance between two random
+    # points in plane regions, Theorem 2.4 on the expectation value of
+    # arbitrary functions of distance between points in disks.
+    """
+    Define integrand for Gaussian averaging
+    """
+    def integrand(r, R, sig):
+        gauss = np.exp(-r ** 2 / (2 * sig ** 2))
+        x1 = scipy.arctan(np.sqrt((2 * R - r) / (2 * R + r)))
+        x2 = scipy.sin(4 * scipy.arctan(np.sqrt((2 * R - r) / (2 * R + r))))
+        factor = 4 * x1 - x2
+        return r * gauss * factor
+
+    """
+    Define approximation for function log(1-x) needed for large areas
+    """
+    def log_approx(x, limit):
+        res = 0.
+        for k in range(limit):
+            res += x ** (k + 1) * (-1.) ** k / (k + 1)
+        return res
+
+    """
+    To determine the conversion from the microcircuit model to the
+    area-specific composition in our model properly, we have to
+    scale down the intrinsic FLN from 0.79 to a lower value,
+    detailed explanation below. Therefore, we execute the procedure
+    twice: First, for realistic area size to obtain numbers for
+    Indegree_prime_fullscale and then for 1mm2 areas (Indegree_prime).
+
+    Determine mean connection probability, indegrees and intrinsic FLN
+    for full-scale areas.
+    """
+    C_prime_fullscale_mean = {}
+    for area in area_list:
+        R_area = np.sqrt(Area_surfaces[area] / np.pi)
+        C_prime_fullscale_mean[area] = 2 * C0 / Area_surfaces[area] * \
+            scipy.integrate.quad(integrand, 0, 2 * R_area, args=(R_area, sigma))[0]
+
+    Indegree_prime_fullscale = nested_dict()
+    for area, target_pop, source_pop in product(area_list, population_list, population_list):
+        C = Intra_areal[target_pop][source_pop] * \
+            C_prime_fullscale_mean[area] / C_prime_mean_PD14
+        if Area_surfaces[area] < 100.:  # Limit to choose between np.log and log_approx
+            K = int(round(np.log(1.0 - C) / np.log(1. - 1. / (num_V1[target_pop][
+                'neurons'] * num_V1[source_pop]['neurons'] * Area_surfaces[area] ** 2)))) / (
+                    num_V1[target_pop]['neurons'] * Area_surfaces[area])
+        else:
+            K = int(round(log_approx(C, 20) / log_approx(1. / (num_V1[target_pop][
+                'neurons'] * num_V1[source_pop]['neurons'] * Area_surfaces[area] ** 2), 20))) / (
+                    num_V1[target_pop]['neurons'] * Area_surfaces[area])
+        Indegree_prime_fullscale[area][target_pop][source_pop] = K
+    Indegree_prime_fullscale = Indegree_prime_fullscale.to_dict()
+
+    # Assign the average intrinsic FLN to each area
+    mean_Intrinsic_FLN = Intrinsic_FLN_Data['mean']['mean']
+    mean_Intrinsic_error = Intrinsic_FLN_Data['mean']['error']
+    Intrinsic_FLN_completed_fullscale = {}
+    for area in area_list:
+        Intrinsic_FLN_completed_fullscale[area] = {
+            'mean': mean_Intrinsic_FLN, 'error': mean_Intrinsic_error}
+
+    """
+    Determine mean connection probability, indegrees and intrinsic FLN
+    for areas with 1mm2 surface area.
+    """
+    C_prime_mean = {}
+    for area in area_list:
+        R_area = np.sqrt(surface / np.pi)
+        C_prime_mean[area] = 2 * C0 / surface * \
+            scipy.integrate.quad(integrand, 0, 2 * R_area, args=(R_area, sigma))[0]
+
+    Indegree_prime = nested_dict()
+    for area, target_pop, source_pop in product(area_list, population_list, population_list):
+        C = Intra_areal[target_pop][source_pop] * \
+            C_prime_mean[area] / C_prime_mean_PD14
+        if surface < 100.:  # Limit to choose between np.log and log_approx
+            K = int(round(np.log(1.0 - C) / np.log(1. - 1. / (num_V1[target_pop][
+                'neurons'] * num_V1[source_pop]['neurons'] * surface ** 2)))) / (
+                    num_V1[target_pop]['neurons'] * surface)
+        else:
+            K = int(round(log_approx(C, 20) / log_approx(1. / (num_V1[target_pop][
+                'neurons'] * num_V1[source_pop]['neurons'] * surface ** 2), 20))) / (
+                    num_V1[target_pop]['neurons'] * surface)
+        Indegree_prime[area][target_pop][source_pop] = K
+    Indegree_prime = Indegree_prime.to_dict()
+
+    Intrinsic_FLN_completed = {}
+    mean_Intrinsic_FLN = Intrinsic_FLN_Data['mean']['mean']
+    mean_Intrinsic_error = Intrinsic_FLN_Data['mean']['error']
+
+    for area in area_list:
+        average_relation_indegrees = []
+        for pop in population_list:
+            for pop2 in population_list:
+                if Indegree_prime_fullscale[area][pop][pop2] > 0.:
+                    average_relation_indegrees.append(Indegree_prime[
+                        area][pop][pop2] / Indegree_prime_fullscale[area][pop][pop2])
+        Intrinsic_FLN_completed[area] = {'mean': mean_Intrinsic_FLN * np.mean(
+            average_relation_indegrees), 'error': mean_Intrinsic_error}
+
+    """
+    2. Compute the conversion factors between microcircuit
+    and multi-area model areas (c_A(R)) for down-scaled and fullscale areas.
+    """
+
+    conversion_factor = {}
+    for area in area_list:
+        Nsyn_int_prime = 0.0
+        for target_pop in population_list:
+            for source_pop in population_list:
+                Nsyn_int_prime += Indegree_prime[area][target_pop][
+                    source_pop] * neuronal_numbers[area][target_pop]
+        conversion_factor[area] = Intrinsic_FLN_completed[area][
+            'mean'] * rho_syn[area] * surface * total_thicknesses[area] / Nsyn_int_prime
+
+    conversion_factor_fullscale = {}
+    for area in area_list:
+        Nsyn_int_prime = 0.0
+        for target_pop in population_list:
+            for source_pop in population_list:
+                Nsyn_int_prime += Indegree_prime_fullscale[area][target_pop][
+                    source_pop] * neuronal_numbers_fullscale[area][target_pop]
+        conversion_factor_fullscale[area] = Intrinsic_FLN_completed_fullscale[area][
+            'mean'] * rho_syn[area] * Area_surfaces[area] * total_thicknesses[area] / Nsyn_int_prime
+
+    def num_IA_synapses(area,  target_pop, source_pop, area_model='micro'):
+        """
+        Computes the number of intrinsic synapses from target population
+        to source population in an area.
+
+        Parameters
+        ----------
+        area : str
+            Area for which to compute connectivity.
+        target_pop : str
+            Target population of the connection
+        source_pop : str
+            Source population of the connection
+        area_model : str
+            Whether to compute the number of synapses
+            for the area with realistic surface area
+            ('real') or 1mm2 surface area ('micro')
+            Defaults to 'micro'.
+
+        Returns
+        -------
+        Nsyn : float
+            Number of synapses
+        """
+        if area_model == 'micro':
+            c_area = conversion_factor[area]
+            In_degree = Indegree_prime[area][
+                target_pop][source_pop]
+            num_source = neuronal_numbers[area][source_pop]
+            num_target = neuronal_numbers[area][target_pop]
+        if area_model == 'real':
+            c_area = conversion_factor_fullscale[area]
+            In_degree = Indegree_prime_fullscale[area][
+                target_pop][source_pop]
+            num_source = neuronal_numbers_fullscale[area][source_pop]
+            num_target = neuronal_numbers_fullscale[area][target_pop]
+
+        if num_source == 0 or num_target == 0:
+            Nsyn = 0
+        else:
+            Nsyn = c_area * In_degree * num_target
+        return Nsyn
+
+    """
+    3. Compute number of intrinsic (type I) synapses
+    """
+    synapse_numbers = nested_dict()
+    for area, target_pop, source_pop in product(
+            area_list, population_list, population_list):
+        N_syn = num_IA_synapses(area, target_pop, source_pop)
+        synapse_numbers[area][target_pop][area][source_pop] = N_syn
+
+    # Create dictionary with total number of type I synapses for each area
+    synapses_type_I = {}
+    for area in area_list:
+        N_syn_i = 0.0
+        for target_pop in population_list:
+            for source_pop in population_list:
+                N_syn_i += num_IA_synapses(area, source_pop, target_pop)
+        synapses_type_I[area] = N_syn_i
+
+    """
+    4. Compute number of type II synapses
+    """
+    synapses_type_II = {}
+    s = 0.0
+    for target_area in area_list:
+        s_area = 0.0
+        for target_pop in population_list:
+            syn = 0.0
+            if neuronal_numbers[target_area][target_pop] != 0.0:
+                for source_pop in population_list:
+                    micro_in_degree = num_IA_synapses(target_area,
+                                                      target_pop, source_pop) / neuronal_numbers[
+                                                          target_area][target_pop]
+                    real_in_degree = (num_IA_synapses(target_area, target_pop, source_pop,
+                                                      area_model='real')
+                                      / neuronal_numbers_fullscale[
+                                                         target_area][target_pop])
+                    syn += (real_in_degree - micro_in_degree) * \
+                        neuronal_numbers[target_area][target_pop]
+            s_area += syn
+        synapses_type_II[target_area] = s_area
+
+    """
+    Cortico-cortical synapses
+    ------------------
+    1. Normalize FLN values of cortico-cortical connection
+       to (1 - FLN_i - 0.013).
+       1.3%: subcortical inputs, data from Markov et al. (2011)
+    """
+    FLN_completed = {}
+    for target_area in FLN_EDR_completed:
+        FLN_completed[target_area] = {}
+        cc_proportion = (1.-Intrinsic_FLN_completed_fullscale[target_area]['mean']-0.013)
+        norm_factor = cc_proportion / sum(FLN_EDR_completed[target_area].values())
+        for source_area in FLN_EDR_completed[target_area]:
+            FLN_completed[target_area][source_area] = norm_factor * FLN_EDR_completed[
+                target_area][source_area]
+
+    """
+    2. Process Binzegger data
+       The notation follows Eqs. (11-12 and following) in
+       Schmidt et al. (2017):
+       v : layer of cortico-cortical synapse
+       cb : cell type
+       cell_layer : layer of the cell
+       i : population in the model
+    """
+
+    # Determine the relative numbers of the 8 populations in Binzegger's data
+    relative_numbers_binzegger = {'23E': 0.0, '23I': 0.0,
+                                  '4E': 0.0, '4I': 0.0,
+                                  '5E': 0.0, '5I': 0.0,
+                                  '6E': 0.0, '6I': 0.0}
+    s = 0.0
+    for cb in binzegger_data:
+        cell_layer = re.sub("\D", "", re.sub("\(.*\)", "", cb))
+        if cell_layer not in ['', '1']:
+            s += binzegger_data[cb]['occurrence']
+
+    for cb in binzegger_data:
+        cell_layer = re.sub("\D", "", re.sub("\(.*\)", "", cb))
+        if cell_layer not in ['', '1']:
+            if cb in binzegger_E_pops:
+                relative_numbers_binzegger[
+                    cell_layer + 'E'] += binzegger_data[cb]['occurrence'] / s
+            if cb in binzegger_I_pops:
+                relative_numbers_binzegger[
+                    cell_layer + 'I'] += binzegger_data[cb]['occurrence'] / s
+
+    # Determine the relative numbers of the 8 populations in V1
+    relative_numbers_model = {'23E': 0.0, '23I': 0.0,
+                              '4E': 0.0, '4I': 0.0,
+                              '5E': 0.0, '5I': 0.0,
+                              '6E': 0.0, '6I': 0.0}
+
+    for pop in neuronal_numbers['V1']:
+        relative_numbers_model[pop] = neuronal_numbers[
+            'V1'][pop] / neuronal_numbers['V1']['total']
+
+    # Process Binzegger data into conditional probabilities: What is the
+    # probability of having a cell body in layer u if a cortico-cortical
+    # connection forms a synapse in layer v ?
+
+    # Compute number of CC synapses formed in each layer
+    num_cc_synapses = {'1': 0.0, '23': 0.0, '4': 0.0, '5': 0.0, '6': 0.0}
+    for cb in binzegger_data:
+        cell_layer = re.sub("\D", "", re.sub("\(.*\)", "", cb))
+        if cb in binzegger_E_pops:
+            i = cell_layer + 'E'
+        if cb in binzegger_I_pops:
+            i = cell_layer + 'I'
+        if i != '1I':
+            for v in binzegger_data[cb]['syn_dict']:
+                if v in num_cc_synapses:
+                    num_ratio = relative_numbers_model[i] / relative_numbers_binzegger[i]
+                    cc_syn_num = (binzegger_data[cb]['syn_dict'][v]['corticocortical'] / 100.0 *
+                                  binzegger_data[cb]['syn_dict'][v][
+                                      'number of synapses per neuron'] *
+                                  binzegger_data[cb]['occurrence'] / 100.0 * num_ratio)
+
+                    num_cc_synapses[v] += cc_syn_num
+
+    # Compute cond. probability
+    synapse_to_cell_body_basis = {}
+    for cb in binzegger_data:
+        cell_layer = re.sub("\D", "", re.sub("\(.*\)", "", cb))
+        if cb in binzegger_E_pops:
+            i = cell_layer + 'E'
+        else:
+            i = cell_layer + 'I'
+        for v in binzegger_data[cb]['syn_dict']:
+            if v in num_cc_synapses:
+                if i != '1I':  # We do not model cell types in layer 1
+                    num_ratio = relative_numbers_model[i] / relative_numbers_binzegger[i]
+                    value = (binzegger_data[cb]['syn_dict'][v]['corticocortical'] / 100.0 *
+                             binzegger_data[cb]['syn_dict'][v]['number of synapses per neuron'] *
+                             binzegger_data[cb]['occurrence'] / 100.0 * num_ratio)
+                    cond_prob = value / num_cc_synapses[v]
+                    if v in synapse_to_cell_body_basis:
+                        if i in synapse_to_cell_body_basis[v]:
+                            synapse_to_cell_body_basis[
+                                v][i] += cond_prob
+                        else:
+                            synapse_to_cell_body_basis[
+                                v].update({i: cond_prob})
+                    else:
+                        synapse_to_cell_body_basis.update(
+                            {v: {i: cond_prob}})
+
+    # Make synapse_to_cell_body area-specific to account for
+    # missing layers in some areas (area TH)
+    synapse_to_cell_body = {}
+    for area in area_list:
+        synapse_to_cell_body[area] = deepcopy(synapse_to_cell_body_basis)
+
+    for layer in synapse_to_cell_body['TH']:
+        l = 0.
+        for pop in ['23E', '5E', '6E']:
+            l += laminar_thicknesses['TH'][pop[0:-1]]
+        for pop in ['23E', '5E', '6E']:
+            if '4E' in synapse_to_cell_body['TH'][layer]:
+                if pop in synapse_to_cell_body['TH'][layer]:
+                    synapse_to_cell_body['TH'][layer][pop] += synapse_to_cell_body[
+                        'TH'][layer]['4E'] * laminar_thicknesses['TH'][pop[0:-1]] / l
+                else:
+                    synapse_to_cell_body['TH'][layer][pop] = synapse_to_cell_body[
+                        'TH'][layer]['4E'] * laminar_thicknesses['TH'][pop[0:-1]] / l
+        l = 0.
+        for pop in ['23I', '5I', '6I']:
+            l += laminar_thicknesses['TH'][pop[0:-1]]
+        for pop in ['23I', '5I', '6I']:
+            if '4I' in synapse_to_cell_body['TH'][layer]:
+                if pop in synapse_to_cell_body['TH'][layer]:
+                    synapse_to_cell_body['TH'][layer][pop] += synapse_to_cell_body[
+                        'TH'][layer]['4I'] * laminar_thicknesses['TH'][pop[0:-1]] / l
+                else:
+                    synapse_to_cell_body['TH'][layer][pop] = synapse_to_cell_body[
+                        'TH'][layer]['4I'] * laminar_thicknesses['TH'][pop[0:-1]] / l
+
+    for layer in synapse_to_cell_body['TH']:
+        if '4E' in synapse_to_cell_body['TH'][layer]:
+            del synapse_to_cell_body['TH'][layer]['4E']
+        if '4I' in synapse_to_cell_body['TH'][layer]:
+            del synapse_to_cell_body['TH'][layer]['4I']
+
+    def num_CC_synapses(target_area, target_pop, source_area, source_pop):
+        """
+        Compute number of synapses between two populations in different areas
+
+        Parameters
+        ----------
+        target_area : str
+            Target area of the connection
+        target_pop : str
+            Target population of the connection
+        source_area : str
+            Source area of the connection
+        source_pop : str
+            Source population of the connection
+
+        Returns
+        -------
+        Nsyn : float
+            Number of synapses of the connection.
+        """
+
+        Nsyn = 0.0
+
+        # Test if the connection exists.
+        if (source_area in Coco_Data[target_area] and
+            source_pop not in ['4I', '4E'] and
+            neuronal_numbers[target_area][target_pop] != 0 and
+                source_pop not in ['23I', '4I', '5I', '6I']):
+
+            num_source = neuronal_numbers_fullscale[source_area][source_pop]
+
+            # information on the area level
+            FLN_BA = FLN_completed[target_area][source_area]
+            Nsyn_tot = rho_syn[target_area] * \
+                Area_surfaces[target_area] * total_thicknesses[target_area]
+
+            # source side
+            # if there is laminar information in CoCoMac, use it
+            if Coco_Data[target_area][source_area]['source_pattern'] is not None:
+                sp = np.array(Coco_Data[target_area][source_area][
+                              'source_pattern'], dtype=np.float)
+
+                # Manually determine SLN, based on CoCoMac:
+                # from supragranular, then SLN=0.,
+                # no connections from infragranular --> SLN=1.
+                if np.all(sp[:3] == 0):
+                    SLN_value = 0.
+                elif np.all(sp[-2:] == 0):
+                    SLN_value = 1.
+                else:
+                    SLN_value = SLN_Data[target_area][source_area]
+
+                if source_pop in origin_patterns['S']:
+                    if np.any(sp[:3] != 0):
+                        X = SLN_value
+                        Y = 1.  # Only layer 2/3 is part of the supragranular pattern
+                    else:
+                        X = 0.
+                        Y = 0.
+
+                elif source_pop in origin_patterns['I']:
+                    if np.any(sp[-2:] != 0):
+                        # Distribute between 5 and 6 according to CocoMac values
+                        index = list(range(1, 7)).index(int(source_pop[:-1]))
+                        if sp[index] != 0:
+                            X = 1. - SLN_value
+                            Y = 10 ** (sp[index]) / np.sum(10 **
+                                                           sp[-2:][np.where(sp[-2:] != 0)])
+                        else:
+                            X = 0.
+                            Y = 0.
+                    else:
+                        X = 0.
+                        Y = 0.
+            # otherwise, use neuronal numbers
+            else:
+                if source_pop in origin_patterns['S']:
+                    X = SLN_Data[target_area][source_area]
+                    Y = 1.0  # Only layer 2/3 is part of the supragranular pattern
+
+                elif source_pop in origin_patterns['I']:
+                    X = 1.0 - SLN_Data[target_area][source_area]
+                    infra_neurons = 0.0
+                    for ii in origin_patterns['I']:
+                        infra_neurons += neuronal_numbers_fullscale[
+                            source_area][ii]
+                    Y = num_source / infra_neurons
+
+            # target side
+            # if there is laminar data in CoCoMac, use this
+            if Coco_Data[target_area][source_area]['target_pattern'] is not None:
+                tp = np.array(Coco_Data[target_area][source_area][
+                              'target_pattern'], dtype=np.float)
+
+                # If there is a '?' (=-1) in the data, check if this layer is in
+                # the termination pattern induced by hierarchy and insert a 2 if
+                # yes
+                if -1 in tp:
+                    if (SLN_Data[target_area][source_area] > 0.35 and
+                            SLN_Data[target_area][source_area] <= 0.65):
+                        T_hierarchy = termination_layers2['C']
+                    elif SLN_Data[target_area][source_area] < 0.35:
+                        T_hierarchy = termination_layers2['M']
+                    elif SLN_Data[target_area][source_area] > 0.65:
+                        T_hierarchy = termination_layers2['F']
+                    for l in T_hierarchy:
+                        if tp[l - 1] == -1:
+                            tp[l - 1] = 2
+                T = np.where(tp > 0.)[0] + 1  # '+1' transforms indices to layers
+                # Here we treat the values as numbers of labeled neurons rather
+                # than densities for the sake of simplicity
+                p_T = np.sum(10 ** tp[np.where(tp > 0.)[0]])
+                Nsyn = 0.0
+                su = 0.
+                for ii in range(len(T)):
+                    if T[ii] in [2, 3]:
+                        syn_layer = '23'
+                    else:
+                        syn_layer = str(T[ii])
+                    Z = 10 ** tp[np.where(tp > 0.)[0]][ii] / p_T
+                    if target_pop in synapse_to_cell_body[target_area][syn_layer]:
+                        Nsyn += synapse_to_cell_body[target_area][syn_layer][
+                            target_pop] * Nsyn_tot * FLN_BA * X * Y * Z
+
+                    su += Z
+
+            # otherwise use laminar thicknesses
+            else:
+                if (SLN_Data[target_area][source_area] > 0.35 and
+                        SLN_Data[target_area][source_area] <= 0.65):
+                    T = termination_layers['C']
+                elif SLN_Data[target_area][source_area] < 0.35:
+                    T = termination_layers['M']
+                elif SLN_Data[target_area][source_area] > 0.65:
+                    T = termination_layers['F']
+
+                p_T = 0.0
+                for ii in T:
+                    if ii != '1':
+                        p_T += laminar_thicknesses[target_area][ii]
+
+                Nsyn = 0.0
+                for syn_layer in T:
+                    if target_pop in synapse_to_cell_body[target_area][syn_layer]:
+                        if syn_layer == '1':
+                            Z = 0.5
+                        else:
+                            if '1' in T:
+                                Z = 0.5 * \
+                                    laminar_thicknesses[
+                                        target_area][syn_layer] / p_T
+                            else:
+                                Z = laminar_thicknesses[
+                                    target_area][syn_layer] / p_T
+                        Nsyn += synapse_to_cell_body[target_area][syn_layer][
+                            target_pop] * Nsyn_tot * FLN_BA * X * Y * Z
+
+        return Nsyn
+
+    """
+    Compute the number of cortico-cortical synapses
+    for each pair of populations.
+    """
+    # area TH does not have a granular layer
+    neuronal_numbers_fullscale['TH']['4E'] = 0.0
+    neuronal_numbers['TH']['4E'] = 0.0
+    neuronal_numbers_fullscale['TH']['4I'] = 0.0
+    neuronal_numbers['TH']['4I'] = 0.0
+
+    for target_area, target_pop, source_area, source_pop in product(area_list, population_list,
+                                                                    area_list, population_list):
+        if target_area != source_area:
+            N_fullscale = neuronal_numbers_fullscale[target_area][target_pop]
+            N = neuronal_numbers[target_area][target_pop]
+            if N != 0:
+                N_syn = num_CC_synapses(target_area, target_pop,
+                                        source_area, source_pop) / N_fullscale * N
+            else:
+                N_syn = 0.0
+            synapse_numbers[target_area][target_pop][source_area][source_pop] = N_syn
+
+    synapse_numbers = synapse_numbers.to_dict()
+
+    """
+    If switch_E_specificity is True, redistribute
+    the synapses of feedback connections to achieve
+    the E_specific_factor of 0.93
+    """
+    if E_specificity:
+        E_specific_factor = 0.93
+        for target_area in area_list:
+            for source_area in area_list:
+                if (target_area != source_area and source_area in Coco_Data[target_area] and
+                        SLN_Data[target_area][source_area] < 0.35):
+                    syn_I = 0.0
+                    syn_E = 0.0
+                    for target_pop in synapse_numbers[target_area]:
+                        for source_pop in synapse_numbers[target_area][target_pop][source_area]:
+                            if target_pop.find('E') > -1:
+                                syn_E += synapse_numbers[target_area][
+                                    target_pop][source_area][source_pop]
+                            else:
+                                syn_I += synapse_numbers[target_area][
+                                    target_pop][source_area][source_pop]
+                    if syn_E > 0.0 or syn_I > 0.0:
+                        alpha_E = syn_E / (syn_E + syn_I)
+                        alpha_I = syn_I / (syn_E + syn_I)
+                        if alpha_I != 0.0 and alpha_E != 0.0:
+                            for target_pop in synapse_numbers[target_area]:
+                                for source_pop in synapse_numbers[target_area][
+                                        target_pop][source_area]:
+                                    N_syn = synapse_numbers[target_area][target_pop][
+                                        source_area][source_pop]
+                                    if target_pop.find('E') > -1:
+                                        synapse_numbers[target_area][target_pop][source_area][
+                                            source_pop] = E_specific_factor / alpha_E * N_syn
+                                    else:
+                                        synapse_numbers[target_area][target_pop][source_area][
+                                            source_pop] = (1. - E_specific_factor) / alpha_I * N_syn
+
+    """
+    External inputs
+    ---------------
+    To determine the number of external inputs to each
+    population, we compute the total number of external
+    to an area and then distribute the synapses such that
+    each population receives the same indegree from external
+    Poisson sources.
+
+
+    1. Compute the total number of external synapses to each
+       area as the difference between the total number of
+       synapses and the intrinsic (type I) and cortico-cortical
+       (type III) synapses.
+    """
+    External_synapses = {}
+    for target_area in area_list:
+        N_syn_tot = surface * total_thicknesses[target_area] * rho_syn[target_area]
+        CC_synapses = 0.0
+        for target_pop, source_area, source_pop in product(population_list, area_list,
+                                                           population_list):
+            if source_area != target_area:
+                CC_synapses += synapse_numbers[target_area][
+                    target_pop][source_area][source_pop]
+        ext_syn = N_syn_tot * (1. - Intrinsic_FLN_completed[target_area]['mean']) - CC_synapses
+        External_synapses[target_area] = ext_syn
+
+    """
+    2. Distribute poisson sources among populations such that each
+       population receives the same Poisson indegree.
+       For this, we construct a system of linear equations and solve
+       this using a least-squares algorithm (numpy.linalg.lstsq).
+    """
+    for area in area_list:
+        nonvisual_fraction_matrix = np.zeros(
+            (len(structure[area]) + 1, len(structure[area])))
+        for ii in range(len(structure[area])):
+            nonvisual_fraction_matrix[
+                ii] = 1. / len(structure[area]) * np.ones(len(structure[area]))
+            nonvisual_fraction_matrix[ii][ii] -= 1
+
+        for ii in range(len(structure[area])):
+            nonvisual_fraction_matrix[-1][
+                ii] = neuronal_numbers[area][structure[area][ii]]
+
+        vector = np.zeros(len(structure[area]) + 1)
+        ext_syn = External_synapses[area]
+        vector[-1] = ext_syn
+        solution, residues, rank, s = np.linalg.lstsq(
+            nonvisual_fraction_matrix, vector)
+        for ii, pop in enumerate(structure[area]):
+            synapse_numbers[area][pop]['external'] = {
+                'external': solution[ii] * neuronal_numbers[area][pop]}
+
+    synapse_numbers['TH']['4E']['external'] = {'external': 0.0}
+    synapse_numbers['TH']['4I']['external'] = {'external': 0.0}
+
+    """
+    Modify external inputs according to additional factors
+    """
+    for target_area in area_list:
+        for target_pop in synapse_numbers[target_area]:
+            if target_pop in ['5E']:
+                synapse_numbers[target_area][target_pop]['external'][
+                    'external'] = fac_nu_ext_5E * synapse_numbers[target_area][target_pop][
+                        'external']['external']
+            if target_pop in ['6E']:
+                synapse_numbers[target_area][target_pop]['external'][
+                    'external'] = fac_nu_ext_6E * synapse_numbers[target_area][target_pop][
+                        'external']['external']
+
+    synapse_numbers['TH']['23E']['external']['external'] *= fac_nu_ext_TH
+    synapse_numbers['TH']['5E']['external']['external'] *= fac_nu_ext_TH
+
+    """
+    Synaptic weights
+    ----------------
+    Create dictionaries with the mean and standard deviation
+    of the synaptic weight of each connection in the network.
+    Depends on the chosen neuron model.
+    """
+
+    # for current-based neurons
+    PSC_e_over_PSP_e = ((C_m**(-1) * tau_m * tau_syn_ex / (tau_syn_ex - tau_m) *
+                         ((tau_m / tau_syn_ex) ** (- tau_m / (tau_m - tau_syn_ex)) -
+                          (tau_m / tau_syn_ex) ** (- tau_syn_ex / (tau_m - tau_syn_ex)))) ** (-1))
+    PSC_i_over_PSP_i = ((C_m ** (-1) * tau_m * tau_syn_in / (tau_syn_in - tau_m) *
+                         ((tau_m / tau_syn_in) ** (- tau_m / (tau_m - tau_syn_in)) -
+                          (tau_m / tau_syn_in) ** (- tau_syn_in / (tau_m - tau_syn_in)))) ** (-1))
+
+    synapse_weights_mean = nested_dict()
+    for target_area, target_pop, source_area, source_pop in product(area_list, population_list,
+                                                                    area_list, population_list):
+        if 'E' in source_pop:
+            synapse_weights_mean[target_area][target_pop][source_area][
+                source_pop] = PSC_e_over_PSP_e * PSP_e
+        else:
+            synapse_weights_mean[target_area][target_pop][source_area][
+                source_pop] = PSC_i_over_PSP_i * g * PSP_e
+
+    synapse_weights_mean = synapse_weights_mean.to_dict()
+    synapse_weights_sd = nested_dict()
+    for target_area, target_pop, source_area, source_pop in product(area_list, population_list,
+                                                                    area_list, population_list):
+        mean = abs(synapse_weights_mean[target_area][target_pop][source_area][source_pop])
+        if ((lognormal_weights and 'E' in target_pop and 'E' in source_pop) or
+                lognormal_weights and not lognormal_EE_only):
+            sd = PSC_rel_sd_lognormal * mean
+        else:
+            sd = PSC_rel_sd_normal * mean
+        synapse_weights_sd[target_area][target_pop][source_area][source_pop] = sd
+    synapse_weights_sd = synapse_weights_sd.to_dict()
+
+    # Apply specific weight for intra_areal 4E-->23E connections
+    for area in area_list:
+        synapse_weights_mean[area]['23E'][area]['4E'] = PSP_e_23_4 * PSC_e_over_PSP_e
+        synapse_weights_sd[area]['23E'][area]['4E'] = (PSC_rel_sd_normal * PSP_e_23_4
+                                                       * PSC_e_over_PSP_e)
+
+    # Apply cc_weights_factor for all CC connections
+    for target_area, source_area in product(area_list, area_list):
+        if source_area != target_area:
+            for target_pop, source_pop in product(population_list, population_list):
+                synapse_weights_mean[target_area][target_pop][
+                    source_area][source_pop] *= cc_weights_factor
+                synapse_weights_sd[target_area][target_pop][
+                    source_area][source_pop] *= cc_weights_factor
+
+    # Apply cc_weights_I_factor for all CC connections
+    for target_area, source_area in product(area_list, area_list):
+        if source_area != target_area:
+            for target_pop, source_pop in product(population_list, population_list):
+                if 'I' in target_pop:
+                    synapse_weights_mean[target_area][target_pop][
+                        source_area][source_pop] *= cc_weights_I_factor
+                    synapse_weights_sd[target_area][target_pop][
+                        source_area][source_pop] *= cc_weights_I_factor
+
+    # Synaptic weights for external input
+    for target_area in area_list:
+        for target_pop in population_list:
+            synapse_weights_mean[target_area][target_pop]['external'] = {
+                'external': PSC_e_over_PSP_e * PSP_ext}
+
+    """
+    Output section
+    --------------
+    All data are saved to a json file with the name structure:
+    '$(prefix) + '_Data_Model' + $(out_label) + .json'.
+    """
+
+    collected_data = {'area_list': area_list,
+                      'av_indegree_V1': av_indegree_V1,
+                      'population_list': population_list,
+                      'structure': structure,
+                      'synapses_orig': synapse_numbers,
+                      'synapses': synapse_numbers,
+                      'realistic_neuron_numbers': neuronal_numbers_fullscale,
+                      'realistic_synapses': synapse_numbers,
+                      'neuron_numbers': neuronal_numbers,
+                      'synapses_type_I': synapses_type_I,
+                      'synapses_type_II': synapses_type_II,
+                      'distances': Distance_Data,
+                      'binzegger_processed': synapse_to_cell_body,
+                      'Intrinsic_FLN_completed': Intrinsic_FLN_completed,
+                      'synapse_weights_mean': synapse_weights_mean,
+                      'synapse_weights_sd': synapse_weights_sd
+                      }
+
+    with open(os.path.join(basepath,
+                           '.'.join(('_'.join((prefix,
+                                               'Data_Model',
+                                               out_label)),
+                                     'json'))), 'w') as f:
+        json.dump(collected_data, f)
+
+
+if __name__ == '__main__':
+    compute_Model_params()
diff --git a/multiarea_model/data_multiarea/SLN_logdensities.R b/multiarea_model/data_multiarea/SLN_logdensities.R
new file mode 100644
index 0000000000000000000000000000000000000000..38fbe8a3e19f9e74bf85d53324c96f160d69a8a3
--- /dev/null
+++ b/multiarea_model/data_multiarea/SLN_logdensities.R
@@ -0,0 +1,13 @@
+library('aod')
+source(paste(Sys.getenv('HOME'),'/model-june/data_multi_area/bbAlt.R', sep=""))
+f <- file(paste(Sys.getenv('HOME'),'/model-june/data_multi_area/raw_data/RData_prepared_logdensities.txt', sep=""),'r')
+x <- read.table(f)
+close(f)
+
+
+dens <- data.matrix(x)[,7]
+
+m2.bb <- betabin(cbind(S, I) ~ dens , ~ 1, data = x, "probit", control = list(maxit = 100000))
+h2.bb <- c(coef(m2.bb))
+
+print(h2.bb)
diff --git a/multiarea_model/data_multiarea/VisualCortex_Data.py b/multiarea_model/data_multiarea/VisualCortex_Data.py
new file mode 100644
index 0000000000000000000000000000000000000000..78f9934224e12c8c5aa78a1a83f18a23d60ea3d3
--- /dev/null
+++ b/multiarea_model/data_multiarea/VisualCortex_Data.py
@@ -0,0 +1,1372 @@
+# -*- coding: utf-8 -*-
+"""
+VisualCortexData
+================
+
+This script provides the function process_raw_data which fulfils two tasks:
+1) Load the experimental data from the raw data files stored in raw_data/ and stores
+   it to viscorted_raw_data.json.
+2) Process the data to derive complete sets of FLN, SLN, neuronal densities
+   and laminar thicknesses and store these values to viscortex_processed_data.json.
+
+All details of the procedures in this scripts are described in
+Schmidt M, Bakker R, Hilgetag CC, Diesmann M & van Albada SJ (2017)
+"Multi-scale account of the network structure of macaque visual cortex"
+Brain Struct Funct (2017)
+
+
+Experimental Data
+-----------------
+Literature data consists of the following data that
+will be stored in the corresponding dictionaries:
+
+1. Hierarchy from Reid et al. (2009)
+   ---> hierarchy
+2. Layer-specific neuronal densities for 12 areas from
+   Helen Barbas' lab
+   ----> neuronal_densities
+3. Categorization of all areas, except MIP and MDP, into 8
+   different structural classes
+   ---> structure
+4. Distances between areas with 3 different methods: Euclidean, Thom, and
+   Median
+   ---> euclidean_distances, thom_distances, median_distances
+   The median distances are used for the multi-area model.
+5. Surface areas from all areas
+   ----> surfaces
+6. CoCoMac data about the existence and patterns of connections
+   between areas
+   ----> cocomac
+6. CoCoMac data about the existence of connections between
+   areas and their laminar patterns
+7. FLN data about extrinsic connections to three areas (V1,V2,V4)
+   from Markov et al. (2011)
+   ---> FLN_Data
+8. FLN data about intrinsic connections of three areas (V1,V2,V4)
+   from Markov et al. (2011)
+   ---> intrinsic_FLN_Data
+9. SLN data about connections to two areas (V1,V4) from
+   Barone et al. (2000)
+   ----> SLN_Data
+10. Intrinsic connection probabilities from Potjans et al. (2012)
+   ----> intrinsic_connectivity
+11. Layer-specific number of neurons for cat V1 from Potjans et al. (2012)
+    constructed from Binzegger et al. (2004)
+    ----> Num_V1
+12a. Thickness of layers from Beaulieu et al. (1983)
+     ---> laminar_Thickness_cat
+12b. Layer thicknesses for many areas collected from the literature
+     ---> laminar_thicknesses
+13. Total cortical thicknesses from Barbas lab
+    ---> total_thickness_data
+14. Translation from different schemes to FV91 scheme
+15. Binzegger Data about relating synapse location to location of cell bodies
+16. Average In-Degree from Cragg 1967 ---> AvInDegree
+
+
+Authors
+--------
+Maximilian Schmidt
+Sacha van Albada
+
+"""
+
+import numpy as np
+import re
+import copy
+import json
+import csv
+from scipy import stats
+from scipy import integrate
+import os
+import subprocess
+from nested_dict import nested_dict
+from itertools import product
+import pandas as pd
+
+
+def process_raw_data():
+    """
+    Load and process raw data from literature.
+    """
+
+    """
+    Helper variables and functions
+    """
+    area_list = ['V1', 'V2', 'VP', 'V3', 'PIP', 'V3A', 'MT', 'V4t', 'V4',
+                 'PO', 'VOT', 'DP', 'MIP', 'MDP', 'MSTd', 'VIP', 'LIP',
+                 'PITv', 'PITd', 'AITv', 'MSTl', 'FST', 'CITv', 'CITd',
+                 '7a', 'STPp', 'STPa', 'FEF', '46', 'TF', 'TH', 'AITd']
+
+    area_set = set(area_list)
+
+    # to skip the explanatory headers in the .csv-files
+    def skip_header():
+        next(myreader)
+        next(myreader)
+
+    # to ignore the external sources in data
+    def without_ext(l):
+        s_l = set(l) & area_set
+        return s_l
+
+    """
+    Set input and output paths
+    """
+    basepath = os.path.abspath(os.path.join(os.path.dirname(__file__)))
+    datapath = os.path.join(basepath, 'raw_data')
+    out_label = ''
+    out_path = basepath
+
+    """
+    1. Define the hierarchy (continuous version from Reid et al. (2009))
+    """
+    hier_temp = pd.read_csv(os.path.join(datapath, 'hierarchy_Reid.csv'), skiprows=2,
+                            sep='\t',
+                            names=['area', 'level'])
+
+    hierarchy = {area: level for area, level in hier_temp.values}
+    for ii in hierarchy.keys():
+        if hierarchy[ii] != '?':
+            hierarchy[ii] = float(hierarchy[ii])
+    hierarchy['MIP'] = .5
+    hierarchy['MDP'] = .5
+
+    # Hierarchy from Markov et al. 2014
+    hier_temp = pd.read_csv(os.path.join(datapath, 'hierarchy_Markov.csv'),
+                            sep=',',
+                            skiprows=2,
+                            names=['area', 'level', 'rescaled level'])
+
+    hierarchy_markov = {}
+    for ii in range(len(hier_temp)):
+        hierarchy_markov[hier_temp.iloc[ii]['area']] = {'level': hier_temp.iloc[ii][
+            'level'], 'rescaled level': hier_temp.iloc[ii]['rescaled level']}
+
+    """
+    2. Neuronal densities
+    """
+    # data obtained with NeuN staining
+    # delivers total and laminar densities
+    neuronal_density_data = {}
+    temp = pd.read_csv(os.path.join(datapath, 'NeuronalDensities_NeuN.csv'), sep='\t',
+                       skiprows=2,
+                       names=['area', 'overall', 't_error', '23', '23_error',
+                              '4', '4_error', '56', '56_error'])
+
+    for i in np.arange(0, len(temp), 1):
+        dict_ = {'overall': {'value': temp.iloc[i]['overall'], 'error': temp.iloc[i]['t_error']},
+                 '23': {'value': temp.iloc[i]['23'], 'error': temp.iloc[i]['23_error']},
+                 '4': {'value': temp.iloc[i]['4'], 'error': temp.iloc[i]['4_error']},
+                 '56': {'value': temp.iloc[i]['56'], 'error': temp.iloc[i]['56_error']}}
+        neuronal_density_data[temp.iloc[i]['area']] = dict_
+
+    # data obtained with Nissl staining
+    # delivers only total densities
+    with open(os.path.join(datapath, 'NeuronalDensities_Nissl.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter=',')
+        neuronal_density_data_updated = {}
+        skip_header()
+        for temp in myreader:
+            try:
+                if temp[0] == 'V5/MT':
+                    neuronal_density_data_updated['MT'] = float(temp[2])
+                if temp[0] == 'A46v':
+                    neuronal_density_data_updated['area 46v'] = float(temp[2])
+                if temp[0] == 'A7a':
+                    neuronal_density_data_updated['7a'] = float(temp[2])
+                if temp[0] == 'LIPv':
+                    neuronal_density_data_updated['LIP'] = float(temp[2])
+                if temp[0] == 'TEr':
+                    neuronal_density_data_updated['Te1'] = float(temp[2])
+                else:
+                    neuronal_density_data_updated[temp[0]] = float(temp[2])
+            except ValueError:
+                pass
+
+    """
+    3. Architectural Types
+    """
+    temp = pd.read_csv(os.path.join(datapath, 'ArchitecturalTypes.csv'),
+                       sep='\t',
+                       skiprows=2,
+                       names=['area', 'structure'])
+    architecture = {area: architecture for area, architecture in temp.values}
+    for ii in architecture:
+        if architecture[ii] != '?':
+            architecture[ii] = int(architecture[ii])
+
+    """
+    4. Distances
+    """
+    with open(os.path.join(datapath, 'Median_Distances_81areas.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        temp = next(myreader)
+        areas = temp
+        median_distance_data = {}
+        for ii in range(1, 82, 1):
+            temp = next(myreader)
+            dict_ = {}
+            for i in range(1, 82, 1):
+                dict_[areas[i]] = float(temp[i])
+            median_distance_data[areas[ii]] = dict_
+
+    with open(os.path.join(datapath, 'Thom_Distances.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        temp = next(myreader)
+        areas = temp
+        thom_distance_data = {}
+        for ii in range(1, 33, 1):
+            temp = next(myreader)
+            dict_ = {}
+            for i in range(1, 33, 1):
+                dict_[areas[i]] = float(temp[i])
+            thom_distance_data[areas[ii]] = dict_
+
+    # Distances for area in the parcellation used by Markov et al. (2014)
+    with open(os.path.join(datapath, 'Thom_Distances_MERetal12.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        temp = next(myreader)
+        areas = temp
+        thom_distance_data_markov = {}
+        for ii in range(1, 93, 1):
+            temp = next(myreader)
+            dict_ = {}
+            for i in range(1, 93, 1):
+                dict_[areas[i]] = float(temp[i])
+            thom_distance_data_markov[areas[ii]] = dict_
+
+    with open(os.path.join(datapath, 'Euclidean_Distances.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        temp = next(myreader)
+        areas = temp
+        euclidean_distance_data = {}
+        for ii in range(1, 33, 1):
+            temp = next(myreader)
+            dict_ = {}
+            for i in range(1, 33, 1):
+                dict_[areas[i]] = float(temp[i])
+            euclidean_distance_data[areas[ii]] = dict_
+
+    """
+    5. Surface areas
+    """
+    temp = pd.read_csv(os.path.join(datapath, 'cortical_surface.csv'),
+                       sep='\t', skiprows=2,
+                       names=['area', 'surface'])
+    surface_data = {area: surface for area, surface in temp.values}
+
+    """
+    6. CoCoMac data
+    """
+    f = open(os.path.join(datapath, 'CoCoMac_complete_81.json'))
+    dat = json.load(f)
+    f.close()
+
+    # Confirmative studies in cocomac
+    f = open(os.path.join(datapath, 'cocomac_confirmative_studies.json'), 'r')
+    confirmative = json.load(f)
+    f.close()
+
+    cocomac_conf = {}
+    for target in area_list:
+        cocomac_conf[target] = {}
+
+    for source in confirmative:
+        for target in confirmative[source]:
+            if target.split('-')[-1] in area_list:
+                cocomac_conf[target.split(
+                    '-')[-1]][source.split('-')[-1]] = confirmative[source][target]
+
+    # Negative studies in cocomac
+    f = open(os.path.join(datapath, 'cocomac_negative_studies.json'), 'r')
+    negative = json.load(f)
+    f.close()
+
+    cocomac_neg = {}
+    for target in area_list:
+        cocomac_neg[target] = {}
+
+    for source in negative:
+        for target in negative[source]:
+            if target.split('-')[-1] in area_list:
+                cocomac_neg[target.split(
+                    '-')[-1]][source.split('-')[-1]] = negative[source][target]
+
+    cocomac_data = {}
+    for target in area_list:
+        cocomac_data[target] = {}
+
+    for source in dat:
+        for target in dat[source]:
+            # import pdb
+            source_pattern = dat[source][target][0]
+            target_pattern = dat[source][target][1]
+
+            if source_pattern is None and target_pattern is None:
+                if confirmative[source][target] > 0 and target.split('-')[-1] in area_list:
+                    cocomac_data[target.split('-')[-1]][source.split('-')[-1]] = {
+                        'source_pattern': source_pattern, 'target_pattern': target_pattern}
+            else:
+                if source_pattern is not None:
+                    source_pattern = list(source_pattern)
+                if target_pattern is not None:
+                    target_pattern = list(target_pattern)
+                if target.split('-')[-1] in area_list:
+                    cocomac_data[target.split('-')[-1]][source.split('-')[-1]] = {
+                        'source_pattern': source_pattern, 'target_pattern': target_pattern}
+
+    """
+    7. FLN data
+    """
+    # FLN Data of Markov et al. 2012
+    temp = pd.read_csv(os.path.join(datapath, 'Markov2014_FLN_rawdata.csv'),
+                       sep='\t', skiprows=2,
+                       usecols=['case', 'monkey', 'source_area', 'target_area',
+                                'FLN', 'NLN', 'status'],
+                       names=['case', 'monkey', 'source_area', 'target_area',
+                              'FLN', 'NLN', 'status'])
+    FLN_Data = {}
+    for i in range(len(temp)):
+        monkey = temp.iloc[i]['monkey']
+        target = temp.iloc[i]['target_area']
+        source = temp.iloc[i]['source_area']
+        FLN = float(temp.iloc[i]['FLN'])
+
+        status = temp.iloc[i]['status']
+
+        if monkey in FLN_Data:
+            FLN_Data[monkey]['source_areas'].update(
+                {source: {'FLN': FLN, 'status': status}})
+        else:
+            FLN_Data[monkey] = {'target_area': target, 'source_areas': {
+                source: {'FLN': FLN, 'status': status}}}
+
+    NLN_Data = {}
+    for i in range(0, len(temp)):
+        monkey = temp.iloc[i]['monkey']
+        target = temp.iloc[i]['target_area']
+        source = temp.iloc[i]['source_area']
+        NLN = float(temp.iloc[i]['NLN'])
+        status = temp.iloc[i]['status']
+
+        if monkey in NLN_Data:
+            NLN_Data[monkey]['source_areas'].update(
+                {source: {'NLN': NLN, 'status': status}})
+        else:
+            NLN_Data[monkey] = {'target_area': target, 'source_areas': {
+                source: {'NLN': NLN, 'status': status}}}
+
+    # Injection sites of Markov et al. (2014)
+    temp = pd.read_csv(os.path.join(datapath, 'Markov2014_InjectionSites.csv'),
+                       sep='\t', skiprows=3,
+                       names=['injected area', 'case', 'monkey', 'section',
+                              'plane', 'x', 'y', 'z', 'FV91 area'],
+                       usecols=['injected area', 'case', 'monkey', 'section',
+                                'plane', 'x', 'y', 'z', 'FV91 area'])
+
+    injection_sites = {}
+    for i in range(0, len(temp)):
+        injection_sites[temp.iloc[i]['monkey']] = {'injected_area': temp.iloc[
+            i]['injected area'], 'FV91_area': temp.iloc[i]['FV91 area']}
+
+    """
+    8. Intrinsic FLN_Data
+    """
+    with open(os.path.join(datapath, 'Intrinsic_FLN_Data.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        Intrinsic_FLN_Data = {}
+        for ii in range(4):
+            temp = next(myreader)
+            dict_ = {'mean': float(temp[1]), 'error': float(temp[2])}
+            Intrinsic_FLN_Data[temp[0]] = dict_
+
+    """
+    9. SLN data
+    """
+    temp = pd.read_csv(os.path.join(datapath, 'RData_prepared_logdensities.txt'),
+                       skiprows=3,
+                       sep=' ',
+                       names=['index', 'target_area', 'source_area', 'S', 'I',
+                              'TOT', 'DIST', 'DENS', 'monkey', 'lFLN', 'SLN',
+                              'INJ', 'FLN', 'cSLN'])
+    SLN_Data = {}
+
+    for i in range(0, len(temp)):
+        monkey = temp.iloc[i]['monkey']
+        target = temp.iloc[i]['target_area']
+        source = temp.iloc[i]['source_area']
+        FLN = float(temp.iloc[i]['FLN'])
+        S = temp.iloc[i]['S']
+        I = temp.iloc[i]['I']
+        TOT = temp.iloc[i]['TOT']
+        SLN = temp.iloc[i]['SLN']
+
+        if monkey in SLN_Data:
+            SLN_Data[monkey]['source_areas'].update({source: {'FLN': float(FLN),
+                                                              'S': int(S),
+                                                              'I': int(I),
+                                                              'TOT': int(TOT),
+                                                              'SLN': float(SLN)}})
+        else:
+            SLN_Data[monkey] = {'target_area': target, 'source_areas':
+                                {source: {'FLN': float(FLN),
+                                          'S': int(S),
+                                          'I': int(I),
+                                          'TOT': int(TOT),
+                                          'SLN': float(SLN)}}}
+
+    """
+    10. Intrinsic Connectivity from Potjans & Diesmann (2014)
+    """
+    with open(os.path.join(datapath, 'Intrinsic_Connectivity.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        intrinsic_connectivity = {}
+
+        temp = next(myreader)
+
+        areas = temp
+
+        for ii in range(1, 9, 1):
+            temp = next(myreader)
+            dict_ = {}
+            for i in range(1, 10, 1):
+                dict_[areas[i]] = float(temp[i])
+            intrinsic_connectivity[areas[ii]] = dict_
+
+    """
+    11. Numbers of neurons and external inputs in V1
+    """
+    with open(os.path.join(datapath, 'Numbers_V1.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        num_V1 = {}
+        for ii in range(0, 9, 1):
+            temp = next(myreader)
+            num_V1[temp[0]] = {'neurons': float(
+                temp[1]), 'ext_inputs': float(temp[2])}
+
+    """
+    Two alternatives for determining laminar thicknesses:
+    """
+    # 12a. Laminar thicknesses of cat area 17
+    with open(os.path.join(datapath, 'Laminar_Thickness_cat.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        Laminar_Thickness_cat = {}
+
+        for ii in range(10):
+            temp = next(myreader)
+            Laminar_Thickness_cat[temp[0]] = {
+                'thickness': float(temp[1]), 'error': float(temp[2])}
+
+    # 12b. Laminar thicknesses of a large number of areas estimated from
+    # micrographs from the literature
+    with open(os.path.join(datapath, 'laminar_thicknesses_macaque.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        names = next(myreader)[1:16]
+        for ii in range(0, len(names)):
+            names[ii] = re.sub('L', '', names[ii])
+            names[ii] = re.sub('/', '', names[ii])
+        laminar_thicknesses = {}
+        line = True
+        while line:
+            try:
+                temp = next(myreader)
+            except StopIteration:
+                line = False
+            if temp[0] in laminar_thicknesses:
+                if np.isscalar(laminar_thicknesses[temp[0]][names[0]]):
+                    for jj in range(len(temp) - 3):
+                        if temp[jj + 1]:
+                            laminar_thicknesses[temp[0]][names[jj]] = [
+                                laminar_thicknesses[temp[0]][names[jj]]] + [float(temp[jj + 1])]
+                        else:
+                            laminar_thicknesses[temp[0]][names[jj]] = [
+                                laminar_thicknesses[temp[0]][names[jj]]] + [np.nan]
+                else:
+                    for jj in range(len(temp) - 3):
+                        if temp[jj + 1]:
+                            laminar_thicknesses[temp[0]][names[jj]] = laminar_thicknesses[
+                                temp[0]][names[jj]] + [float(temp[jj + 1])]
+                        else:
+                            laminar_thicknesses[temp[0]][names[jj]] = laminar_thicknesses[
+                                temp[0]][names[jj]] + [np.nan]
+            else:
+                laminar_thicknesses[temp[0]] = {}
+                for jj in range(len(temp) - 3):
+                    if temp[jj + 1]:
+                        laminar_thicknesses[temp[0]
+                                            ][names[jj]] = float(temp[jj + 1])
+                    else:
+                        laminar_thicknesses[temp[0]][names[jj]] = np.nan
+
+    """
+    13. Total cortical thicknesses from Barbas lab
+    """
+    with open(os.path.join(datapath, 'CorticalThickness.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+        next(myreader)
+        total_thickness_data = {}
+        for area in area_list:
+            total_thickness_data[area] = np.nan
+
+        for ii in range(0, 30, 1):
+            temp = next(myreader)
+            if temp[4]:
+                total_thickness_data[temp[0]] = float(
+                    temp[4]) * 1000.  # convert to micrometer
+
+    """
+    14.Translation from Barbas' scheme to FV91 scheme
+    """
+    temp = pd.read_csv(os.path.join(datapath, 'SchemeTranslation.csv'),
+                       sep='\t', skiprows=2,
+                       names=['Markov_Area', 'FV91_area'])
+    translation = {}
+    for i, j in temp.values:
+        if i in translation:
+            translation[i] = np.append(translation[i], j)
+        else:
+            translation[i] = np.array([j])
+
+    for ii in translation:
+        translation[ii] = list(np.unique(translation[ii]))
+
+    f = open(os.path.join(datapath, 'overlap.json'), 'r')
+    overlap = json.load(f)
+    f.close()
+
+    """
+    15. Binzegger Data about relating synapse location to cell body location
+    """
+    with open(os.path.join(datapath, 'BinzeggerData.csv'), 'rt') as f:
+        myreader = csv.reader(f, delimiter='\t')
+        skip_header()
+
+        pre_cells = next(myreader)
+        binzegger_data = {}
+        for ii in range(1, 38, 1):
+            temp = next(myreader)
+            if temp[0] != '':
+                subdict = {}
+                if(temp[1]) == '':
+                    syn_layer = re.sub("\D", "", re.sub(".*\(", "", temp[0]))
+                else:
+                    syn_layer = re.sub("\D", "", temp[1])
+                for jj in range(3, len(temp), 1):
+                    try:
+                        subdict[pre_cells[jj]] = float(temp[jj])
+                    except:
+                        subdict[pre_cells[jj]] = temp[jj]
+                if temp[0] in binzegger_data:
+                    binzegger_data[temp[0]]['syn_dict'].update(
+                        {syn_layer: subdict})
+                else:
+                    binzegger_data[temp[0]] = {'occurrence': float(
+                        temp[2]), 'syn_dict': {syn_layer: subdict}}
+
+    """
+    16. Average In-Degree
+    """
+    temp = np.loadtxt(os.path.join(datapath, 'SynapticDensity_Cragg.csv'),
+                      delimiter='\t', skiprows=2)
+    av_indegree_Cragg = float(temp)
+
+    temp = np.loadtxt(os.path.join(datapath, 'SynapticDensity_OKusky.csv'),
+                      delimiter='\t', skiprows=2)
+    av_indegree_OKusky = float(temp)
+
+    """
+    Store experimental data in json file
+    """
+    raw_data = {'area_list': area_list,
+                'hierarchy': hierarchy,
+                'neuronal_density_data': neuronal_density_data,
+                'architecture': architecture,
+                'euclidean_distance_data': euclidean_distance_data,
+                'thom_distance_data': thom_distance_data,
+                'thom_distance_data_markov': thom_distance_data_markov,
+                'median_distance_data': median_distance_data,
+                'surface_data': surface_data,
+                'cocomac_data': cocomac_data,
+                'FLN_Data': FLN_Data,
+                'Intrinsic_FLN_Data': Intrinsic_FLN_Data,
+                'SLN_Data': SLN_Data,
+                'NLN_Data': NLN_Data,
+                'Intrinsic_Connectivity': intrinsic_connectivity,
+                'num_V1': num_V1,
+                'Laminar_Thickness_cat': Laminar_Thickness_cat,
+                'laminar_thicknesses': laminar_thicknesses,
+                'Binzegger_Data': binzegger_data,
+                'av_indegree_Cragg': av_indegree_Cragg,
+                'av_indegree_OKusky': av_indegree_OKusky,
+                'hierarchy_markov': hierarchy_markov,
+                'Translation': translation,
+                'overlap': overlap,
+                'total_thickness_data': total_thickness_data}
+
+    with open(os.path.join(out_path,
+                           ''.join(('viscortex_raw_data' + out_label + '.json'))),
+              'w') as f:
+        json.dump(raw_data, f)
+
+    """
+    Process experimental data
+    =========================
+    """
+    # Assumption: MDP and MIP are on hierarchy levels 0.5 like
+    # their neighboring areas PO,MT,V4t. With the same argument,
+    # they are considered to be of structural type 5.
+    hierarchy_completed = hierarchy.copy()
+    architecture_completed = architecture.copy()
+
+    hierarchy_completed['MIP'] = .5
+    hierarchy_completed['MDP'] = .5
+    architecture_completed['MIP'] = 5
+    architecture_completed['MDP'] = 5
+
+    """
+    Neuronal numbers
+    ----------------
+    We compute neuronal numbers for each population
+    by first deriving neuronal densities and laminar
+    thicknesses and then combining them.
+
+    ### Neuronal densities
+
+    Transform neuronal density data to account for
+    undersampling of cells by NeuN staining relative
+    to Nissl staining.
+    """
+
+    # determine fit of scaling factors from NeuN to Nissl staining
+    new = []
+    old = []
+    for area in neuronal_density_data_updated:
+        if area in neuronal_density_data:
+            old.append(neuronal_density_data[area]['overall']['value'])
+            new.append(neuronal_density_data_updated[area])
+    gradient, intercept, r_value, p_value, std_err = stats.linregress(old, new)
+
+    # map Neuronal density data to FV91 scheme
+    neuronal_density_data_updated_FV91 = {}
+    for ii in list(neuronal_density_data_updated.keys()):
+        if ii not in area_list:
+            if ii in translation:
+                areas_FV91 = translation[ii]
+                for kk in areas_FV91:
+                    neuronal_density_data_updated_FV91[
+                        kk] = neuronal_density_data_updated[ii]
+        else:
+            neuronal_density_data_updated_FV91[
+                ii] = neuronal_density_data_updated[ii]
+
+    neuronal_density_data_FV91 = {}
+    for ii in list(neuronal_density_data.keys()):
+        if ii not in area_list:
+            areas_FV91 = translation[ii]
+            for kk in areas_FV91:
+                neuronal_density_data_FV91[kk] = neuronal_density_data[ii].copy(
+                )
+        else:
+            neuronal_density_data_FV91[ii] = neuronal_density_data[ii].copy()
+
+    # map Neuronal density data to 4 layers by dividing
+    neuronal_density_data_FV91_4layers = {}
+    for i in list(neuronal_density_data_FV91.keys()):
+        neuronal_density_data_FV91_4layers.update({i: {'23': 0., 'overall': 0.,
+                                                       '4': {'value': 0.0, 'error': 0.0},
+                                                       '5': 0., '6': 0.}})
+
+    for ii in list(neuronal_density_data_FV91_4layers.keys()):
+        for layer in ['23', '4', '56']:
+            if neuronal_density_data_FV91[ii][layer]['value'] > 0.:
+                # Assign equal density to layers 5 and 6
+                if layer == '56':
+                    neuronal_density_data_FV91_4layers[ii]['5'] = neuronal_density_data_FV91[
+                        ii]['56']['value'] * gradient + intercept
+                    neuronal_density_data_FV91_4layers[ii]['6'] = neuronal_density_data_FV91[
+                        ii]['56']['value'] * gradient + intercept
+                else:
+                    neuronal_density_data_FV91_4layers[ii][layer] = neuronal_density_data_FV91[
+                        ii][layer]['value'] * gradient + intercept
+            else:
+                neuronal_density_data_FV91_4layers[ii][layer] = 0.
+        # if there is Nissl data, then take it, otherwise
+        # transform NeuN data with the linear fit
+        if ii in neuronal_density_data_updated_FV91:
+            neuronal_density_data_FV91_4layers[ii][
+                'overall'] = neuronal_density_data_updated_FV91[ii]
+        else:
+            neuronal_density_data_FV91_4layers[ii]['overall'] = neuronal_density_data_FV91[
+                ii]['overall']['value'] * gradient + intercept
+
+    """
+    We build a dictionary containing neuron densities
+    (overall and layer-specific) for each area. If there
+    is no data available for an area, we compute the
+    densities in two steps:
+
+    1. Assign an average neural density to each cortical
+       category for each layer and overall density.
+    2. Based on the category, assign a density to each
+       area, if there is no direct data available.
+
+
+    3. In contrast to the model, the experimental data
+       combines layers 5 and 6 to one layer. Thus we
+       assign valyes to 5 and 6 separately by the following calculation:
+    N56 = N5 + N6, d56 = d5 + d6, A56 = A5 = A6
+    rho56 = N56 / (A56*d56) = (N5+N6) / (A56*(d5+d6)) = N5/(A56*(d5+d6)) +
+    N6/(A56*(d5+d6)) = N5/(A5*d5) * d5/(d5+d6) + N6/(A6*d6) * d6/(d5+d6) =
+    rho5 * d5/(d5+d6) + rho6 * d6/(d5+d6) = rho5 * factor + rho6 *
+    (1-factor)
+
+    """
+
+    # Step 1: Assign an average density to each structural type
+    neuronal_density_list = [{'overall': [], '23': [], '4': [], '5': [],
+                              '6': []} for i in range(8)]
+
+    for area in list(neuronal_density_data_FV91_4layers.keys()):
+        category = architecture_completed[area]
+        for key in list(neuronal_density_data_FV91_4layers[area].keys()):
+            neuronal_density_list[category - 1][key].append(float(
+                neuronal_density_data_FV91_4layers[area][key]))
+
+    category_density = {}
+
+    for x in range(8):
+        dict_ = {}
+        for ii in list(neuronal_density_list[0].keys()):
+            if len(neuronal_density_list[x][ii]) == 0:
+                dict_[ii] = np.nan
+            else:
+                dict_[ii] = np.mean(neuronal_density_list[x][ii])
+            category_density[x + 1] = dict_
+
+    # Step 2: For areas with out experimental data,
+    # assign the average density values of its structural type
+    neuronal_densities = nested_dict()
+    for area in list(architecture_completed.keys()):
+        dict_ = {}
+        if architecture_completed[area] in range(1, 9, 1):
+            if area in list(neuronal_density_data_FV91_4layers.keys()):
+                for key in list(neuronal_density_data_FV91_4layers[area].keys()):
+                    neuronal_densities[area][key] = neuronal_density_data_FV91_4layers[area][key]
+            else:
+                neuronal_densities[area] = category_density[architecture_completed[area]]
+        else:
+            neuronal_densities[area] = '?'
+    neuronal_densities = neuronal_densities.to_dict()
+
+    """
+    ### Thicknesses
+
+    To convert the neuronal volume densities into
+    neuron counts, we need total and laminar thicknesses
+    for each area.
+
+    For areas without experimental data on thicknesses, we
+    use we use a linear fit of total thickness vs.
+    logarithmic overall neuron density.
+
+    In addition, we use linear fits of relative thicknesses
+    vs. logarithmic neuron densities for L4 thickness, and the
+    arithmetic mean of the data for L1, L2/3, L5 and L6.
+
+    Finally, we convert the relative laminar thicknesses
+    into absolute values by multiplying with the total thickness.
+
+
+
+    Total thicknesses
+    """
+    # linear regression of barbas thicknesses vs architectural types
+    barbas_array = np.zeros(len(area_list))
+    log_density_array = np.zeros(len(area_list))
+    for i, area in enumerate(area_list):
+        barbas_array[i] = total_thickness_data[area]
+        log_density_array[i] = np.log10(neuronal_densities[area]['overall'])
+
+    gradient, intercept, r_value, p_value, std_err = stats.linregress(
+        log_density_array[np.isfinite(barbas_array)], barbas_array[np.isfinite(barbas_array)])
+
+    # total thicknesses
+    total_thicknesses = total_thickness_data.copy()
+    for a in list(total_thicknesses.keys()):
+        if np.isnan(total_thicknesses[a]):
+            total_thicknesses[a] = intercept + gradient * \
+                np.log10(neuronal_densities[a]['overall'])
+
+    """
+    Laminar thicknesses
+    """
+    # calculate relative layer thicknesses for each area and study
+    frac_of_total = nested_dict()
+    for area in list(laminar_thicknesses.keys()):
+        for layer in list(laminar_thicknesses[area].keys()):
+            frac_of_total[area][layer] = np.array(laminar_thicknesses[area][
+                layer]) / np.array(laminar_thicknesses[area]['total'])
+            # if layer thickness is zero, it makes up 0% of the total, even if the
+            # total is unknown
+            if 0 in np.array(laminar_thicknesses[area][layer]):
+                if np.isscalar(laminar_thicknesses[area][layer]):
+                    frac_of_total[area][layer] = 0
+                else:
+                    indices = np.where(
+                        np.array(laminar_thicknesses[area][layer]) == 0)[0]
+                    for i in indices:
+                        frac_of_total[area][layer][i] = 0
+    frac_of_total = frac_of_total.to_dict()
+
+    # for areas for which these are known: mean across studies
+    # of fractions of total thickness occupied by each layer
+    relative_layer_thicknesses = nested_dict()
+    for area, layer in product(area_list, ['1', '23', '4', '5', '6']):
+        if np.isscalar(frac_of_total[area][layer]):
+            relative_layer_thicknesses[area][layer] = frac_of_total[area][layer]
+        else:
+            relative_layer_thicknesses[area][layer] = np.mean(
+                frac_of_total[area][layer][np.isfinite(frac_of_total[area][layer])])
+    relative_layer_thicknesses = relative_layer_thicknesses.to_dict()
+
+    # for areas where these data are missing, use mean across areas of
+    # fractions of total thickness occupied by L1, L2/3, by L5, and by L6
+    tmp1 = np.array([])
+    tmp23 = np.array([])
+    tmp5 = np.array([])
+    tmp6 = np.array([])
+    for area in list(relative_layer_thicknesses.keys()):
+        tmp1 = np.append(tmp1, relative_layer_thicknesses[area]['1'])
+        tmp23 = np.append(tmp23, relative_layer_thicknesses[area]['23'])
+        tmp5 = np.append(tmp5, relative_layer_thicknesses[area]['5'])
+        tmp6 = np.append(tmp6, relative_layer_thicknesses[area]['6'])
+
+    mean_rel_L1_thickness = np.mean(tmp1[np.isfinite(tmp1)])
+    mean_rel_L23_thickness = np.mean(tmp23[np.isfinite(tmp23)])
+    mean_rel_L5_thickness = np.mean(tmp5[np.isfinite(tmp5)])
+    mean_rel_L6_thickness = np.mean(tmp6[np.isfinite(tmp6)])
+
+    for area in list(relative_layer_thicknesses.keys()):
+        if np.isnan(relative_layer_thicknesses[area]['1']):
+            relative_layer_thicknesses[area]['1'] = mean_rel_L1_thickness
+        if np.isnan(relative_layer_thicknesses[area]['23']):
+            relative_layer_thicknesses[area]['23'] = mean_rel_L23_thickness
+        if np.isnan(relative_layer_thicknesses[area]['5']):
+            relative_layer_thicknesses[area]['5'] = mean_rel_L5_thickness
+        if np.isnan(relative_layer_thicknesses[area]['6']):
+            relative_layer_thicknesses[area]['6'] = mean_rel_L6_thickness
+
+    # mean relative laminar thickness across studies for each area
+    frac4_of_total = np.zeros(len(area_list))
+
+    for i, area in enumerate(area_list):
+        temp = frac_of_total[area]['4']
+        if not np.isscalar(temp):
+            if sum(np.isfinite(temp)):
+                frac4_of_total[i] = np.nansum(temp) / sum(np.isfinite(temp))
+            else:
+                frac4_of_total[i] = np.nan
+        else:
+            frac4_of_total[i] = temp
+
+    # perform regressions of per-area average relative
+    # laminar thicknesses vs logarithmic overall densities
+    gradient4, intercept4, r_value4, p_value4, std_err4 = stats.linregress(np.array(
+        log_density_array)[np.isfinite(frac4_of_total)], frac4_of_total[
+            np.isfinite(frac4_of_total)])
+
+    # assign values based on linear regressions
+    for area in list(relative_layer_thicknesses.keys()):
+        if np.isnan(relative_layer_thicknesses[area]['4']):
+            relative_layer_thicknesses[area]['4'] = intercept4 + gradient4 * np.log10(
+                neuronal_densities[area]['overall'])
+
+    # convert relative thicknesses into absolute ones
+    laminar_thicknesses_completed = {}
+    for area in list(relative_layer_thicknesses.keys()):
+        laminar_thicknesses_completed[area] = {}
+        sum_rel_thick = sum(relative_layer_thicknesses[area].values())
+        for layer in list(relative_layer_thicknesses[area].keys()):
+            # 0.001 converts from micrometer to mm; the result is normalized to
+            # have the sum of the relative thicknesses equal to 1
+            laminar_thicknesses_completed[area][layer] = 0.001 * relative_layer_thicknesses[
+                area][layer] * total_thicknesses[area] / sum_rel_thick
+
+    """
+    Finally, we compute neuron numbers for each population.
+    We assume a laminar-specific ratio of excitatory
+    to inhibitory neurons to be constant across areas.
+    """
+    EI_ratio = {'23': num_V1['23E']['neurons'] / (
+        num_V1['23E']['neurons'] + num_V1['23I']['neurons']),
+                '4': num_V1['4E']['neurons'] / (num_V1['4E']['neurons'] + num_V1['4I']['neurons']),
+                '5': num_V1['5E']['neurons'] / (num_V1['5E']['neurons'] + num_V1['5I']['neurons']),
+                '6': num_V1['6E']['neurons'] / (num_V1['6E']['neurons'] + num_V1['6I']['neurons'])}
+
+    """
+    Then, we compute the number of neurons in
+    population i in layer v_i of area A as
+    N(A,i) = rho(A,v_i) * S(A) * D(A,v_i) * EI_ratio.
+    """
+    realistic_neuronal_numbers = nested_dict()
+    for area in list(neuronal_densities.keys()):
+        S = surface_data[area]
+        realistic_neuronal_numbers[area]['23E'] = (S * laminar_thicknesses_completed[area]['23'] *
+                                                   neuronal_densities[area]['23'] * EI_ratio['23'])
+        realistic_neuronal_numbers[area]['23I'] = (realistic_neuronal_numbers[area]['23E'] *
+                                                   (1. - EI_ratio['23']) / EI_ratio['23'])
+        realistic_neuronal_numbers[area]['4E'] = (S * laminar_thicknesses_completed[area]['4'] *
+                                                  neuronal_densities[area]['4'] * EI_ratio['4'])
+        realistic_neuronal_numbers[area]['4I'] = (realistic_neuronal_numbers[area]['4E'] *
+                                                  (1. - EI_ratio['4']) / EI_ratio['4'])
+        realistic_neuronal_numbers[area]['5E'] = (S * laminar_thicknesses_completed[area]['5'] *
+                                                  neuronal_densities[area]['5'] * EI_ratio['5'])
+        realistic_neuronal_numbers[area]['5I'] = (realistic_neuronal_numbers[area]['5E'] *
+                                                  (1. - EI_ratio['5']) / EI_ratio['5'])
+        realistic_neuronal_numbers[area]['6E'] = (S * laminar_thicknesses_completed[area]['6'] *
+                                                  neuronal_densities[area]['6'] * EI_ratio['6'])
+        realistic_neuronal_numbers[area]['6I'] = (realistic_neuronal_numbers[area]['6E'] *
+                                                  (1. - EI_ratio['6']) / EI_ratio['6'])
+        realistic_neuronal_numbers[area]['total'] = sum(
+            realistic_neuronal_numbers[area].values())
+    realistic_neuronal_numbers = realistic_neuronal_numbers.to_dict()
+
+    """
+    Cortico-cortical connectivity
+    -----------------------------
+
+    ### FLN values
+
+    We proceed with the FLN values in three steps:
+    1. Map the injection sites (= target areas) to the
+       FV91 scheme.
+    2. Map the source areas to FV91 with the overlap tool.
+    3. Retrieve information about existing connection
+       from CoCoMac
+    4. Fit exponential distance rule to existing data.
+    5. Fill missing values with exponential distance rule.
+    """
+
+    FLN_Data_FV91 = {}
+    """
+    1. Map target areas to FV91 according to the
+       exact coordinates of injected areas_FV91.
+    """
+
+    for monkey in FLN_Data:
+        FV91_area = injection_sites[monkey]['FV91_area']
+        if FV91_area in area_list:
+            if FV91_area in FLN_Data_FV91:
+                for source in FLN_Data[monkey]['source_areas']:
+                    if source in FLN_Data_FV91[FV91_area]:
+                        FLN_Data_FV91[FV91_area][source] = np.append(FLN_Data_FV91[
+                            FV91_area][source],
+                                                                     FLN_Data[monkey][
+                                                                         'source_areas'][
+                                                                             source]['FLN'])
+                    else:
+                        FLN_Data_FV91[FV91_area][source] = np.array(
+                            [FLN_Data[monkey]['source_areas'][source]['FLN']])
+            else:
+                FLN_Data_FV91[FV91_area] = {}
+                for source in FLN_Data[monkey]['source_areas']:
+                    FLN_Data_FV91[FV91_area][source] = np.array(
+                        [FLN_Data[monkey]['source_areas'][source]['FLN']])
+
+    # Compute the arithmetic means and fill arrays with zeros if necessary:
+    for target in FLN_Data_FV91:
+        dimension = 0
+        for source in FLN_Data_FV91[target]:
+            if FLN_Data_FV91[target][source].size > dimension:
+                dimension = FLN_Data_FV91[target][source].size
+        for source in FLN_Data_FV91[target]:
+            array = np.append(FLN_Data_FV91[target][source], np.zeros(
+                dimension - FLN_Data_FV91[target][source].size))
+            FLN_Data_FV91[target][source] = np.mean(array)
+
+    """
+    2. Map the source areas according to the overlap tool
+    """
+    FLN_Data_FV91_mapped = {}
+    for target in FLN_Data_FV91:
+        FLN_Data_FV91_mapped[target] = {}
+
+        for source in FLN_Data_FV91[target]:
+            # Here, we have to translate some of the area names.
+            source_key = source + '_M132'
+            if source == 'ENTO':
+                source_key = 'Entorhinal' + '_M132'
+            if source == 'POLE':
+                source_key = 'Temporal-pole' + '_M132'
+            if source == 'Parainsula':
+                source_key = 'Insula' + '_M132'
+            if source == 'SUB':
+                source_key = 'Subiculum' + '_M132'
+            if source == 'PIRI':
+                source_key = 'Piriform' + '_M132'
+            if source == 'PERI':
+                source_key = 'Perirhinal' + '_M132'
+            if source == 'Pro.St.':
+                source_key = 'Prostriate' + '_M132'
+            if source == 'INSULA':
+                source_key = 'Insula' + '_M132'
+            if source == 'CORE':
+                source_key = 'Aud-core' + '_M132'
+            if source == '29/30':
+                source_key = '29_30' + '_M132'
+            if source == 'TEa/mp':
+                source_key = 'TEam-p' + '_M132'
+            if source == 'TH/TF':
+                source_key = 'TH_TF' + '_M132'
+            if source == 'TEa/ma':
+                source_key = 'TEam-a' + '_M132'
+            if source == '9/46v':
+                source_key = '9_46v' + '_M132'
+            if source == '9/46d':
+                source_key = '9_46d' + '_M132'
+            if source == 'SII':
+                source_key = 'S2' + '_M132'
+
+            for FV91_key in overlap['all'][source_key]:
+                FV91_source = re.sub(
+                    "FVE.", "", re.sub("FVE_all.", "", FV91_key))
+                if FV91_source in area_list:
+                    # if norm > 0.0 and FV91_source in area_list :
+                    if FV91_source in FLN_Data_FV91_mapped[target]:
+                        FLN_Data_FV91_mapped[target][FV91_source] += overlap['all'][
+                            source_key][FV91_key] / 100. * FLN_Data_FV91[target][source]
+                    else:
+                        FLN_Data_FV91_mapped[target][FV91_source] = overlap['all'][
+                            source_key][FV91_key] / 100. * FLN_Data_FV91[target][source]
+
+    # Remove intrinsic FLN from FLN_Data_FV91_mapped
+    for target in FLN_Data_FV91_mapped:
+        if target in FLN_Data_FV91_mapped[target]:
+            del FLN_Data_FV91_mapped[target][target]
+
+    # Fill up FLN_Data_FV91 with missing target areas
+    for a in area_list:
+        if a not in FLN_Data_FV91:
+            FLN_Data_FV91_mapped.update({a: {}})
+
+    """
+    3. Process CoCoMac information
+       In the laminar patterns, make replacements:
+       'X' --> 2
+       '?' --> 0 or -1
+    """
+    cocomac_completed = {}
+    for target in cocomac_data:
+        cocomac_completed[target] = {}
+        for source in cocomac_data[target]:
+            sp = cocomac_data[target][source]['source_pattern']
+            tp = cocomac_data[target][source]['target_pattern']
+            if sp is not None:
+                for ii in range(6):
+                    if sp[ii] == 'X':
+                        sp[ii] = 2
+                    if sp[ii] == '?' and ii in [0, 3]:
+                        sp[ii] = 0
+                    if sp[ii] == '?' and ii in [1, 2, 4, 5]:
+                        # Dummy value to enable transformation of this list into a
+                        # numpy array
+                        sp[ii] = -1
+
+            if tp is not None:
+                for ii in range(6):
+                    if tp[ii] == 'X':
+                        tp[ii] = 2.
+                    if tp[ii] == '?':
+                        # Dummy value to enable transformation of this list into a
+                        # numpy array
+                        tp[ii] = -1
+
+            cocomac_completed[target][source] = {
+                'source_pattern': sp, 'target_pattern': tp}
+
+    # Add newly found connections by Markov et al. to cocomac data
+    for target_area in list(cocomac_data.keys()):
+        coco_source = list(cocomac_data[target_area].keys())
+        for source_area in without_ext(list(FLN_Data_FV91_mapped[target_area].keys())):
+            if (source_area not in coco_source and source_area != target_area and
+                    FLN_Data_FV91_mapped[target_area][source_area] > 0.):
+                cocomac_completed[target_area][source_area] = {
+                    'target_pattern': None, 'source_pattern': None}
+
+    # add self-connections to cocomac_completed for consistency reasons
+    for area in area_list:
+        if area not in cocomac_completed[area]:
+            cocomac_completed[area][area] = {
+                'target_pattern': None, 'source_pattern': None}
+
+    """
+    4. Fill missing data with fitted values from
+       exponential distance rule.
+    """
+    FLN_values_FV91 = np.array([])
+    distances_FV91 = np.array([])
+
+    for target_area in FLN_Data_FV91_mapped:
+        for source_area in FLN_Data_FV91_mapped[target_area]:
+            if target_area in thom_distance_data and source_area in thom_distance_data:
+                if FLN_Data_FV91_mapped[target_area][source_area]:
+                    FLN_values_FV91 = np.append(FLN_values_FV91, FLN_Data_FV91_mapped[
+                                                target_area][source_area])
+                    distances_FV91 = np.append(distances_FV91, median_distance_data[
+                                               target_area][source_area])
+
+    # Linear Fit to log values"
+    gradient, intercept, r_value, p_value, std_err = stats.linregress(
+        distances_FV91, np.log(FLN_values_FV91))
+    EDR_params = [intercept, gradient]
+
+    def EDR(target_area, source_area):
+        return np.exp(EDR_params[0] + EDR_params[1] *
+                      median_distance_data[target_area][source_area])
+
+    """
+    5. Build dictionary with FLN value for each
+       connection of the model.
+    """
+    FLN_completed = {}
+    for target_area in cocomac_completed:
+        # We have data for some of the connections to target_area.
+        if len(list(FLN_Data_FV91_mapped[target_area].keys())) > 0:
+            FLN_completed[target_area] = copy.deepcopy(
+                FLN_Data_FV91_mapped[target_area])
+            for source_area in cocomac_completed[target_area]:
+                if (source_area not in FLN_Data_FV91_mapped[target_area] and
+                    source_area in median_distance_data and
+                        source_area != target_area):
+                    FLN_completed[target_area][
+                        source_area] = EDR(target_area, source_area)
+        # We have no data for any connection to target_area.
+        else:
+            FLN_completed[target_area] = {}
+            for source_area in cocomac_completed[target_area]:
+                if source_area in median_distance_data:
+                    if source_area != target_area:
+                        FLN_completed[target_area][
+                            source_area] = EDR(target_area, source_area)
+
+    # Assign all FLN values from non-visual areas to "external FLN"
+    for target_area in FLN_completed:
+        ext_FLN = 0.
+        sources = list(FLN_completed[target_area].keys())
+        for source_area in sources:
+            if source_area not in area_list:
+                ext_FLN += FLN_completed[target_area][source_area]
+                del FLN_completed[target_area][source_area]
+        FLN_completed[target_area]['external'] = ext_FLN
+
+    """
+    ### SLN values
+
+    1. Map target areas the exact coordinates
+       of injections and compute the arithmetic mean
+       over injections.
+    2. Map the source areas using the overlap tool.
+    3. Perform sigmoidal fit of SLN values vs.
+       logarithmic neuron density ratios in R.
+    4. Fill missing data with fitted values.
+
+
+
+
+    1. Map target areas
+    """
+    SLN_Data_FV91 = {}
+    for monkey in SLN_Data:
+        FV91_area = injection_sites[monkey]['FV91_area']
+
+        if FV91_area in area_list:
+            if FV91_area in SLN_Data_FV91:
+                for source in SLN_Data[monkey]['source_areas']:
+                    if source in SLN_Data_FV91[FV91_area]:
+                        SLN_Data_FV91[FV91_area][source] = np.append(SLN_Data_FV91[
+                            FV91_area][source],
+                                                                     SLN_Data[
+                                                                         monkey]['source_areas'][
+                                                                         source]['SLN'])
+                    else:
+                        SLN_Data_FV91[FV91_area][source] = np.array(
+                            [SLN_Data[monkey]['source_areas'][source]['SLN']])
+            else:
+                SLN_Data_FV91[FV91_area] = {}
+                for source in SLN_Data[monkey]['source_areas']:
+                    SLN_Data_FV91[FV91_area][source] = np.array(
+                        [SLN_Data[monkey]['source_areas'][source]['SLN']])
+
+    for target in SLN_Data_FV91:
+        dimension = 0
+        for source in SLN_Data_FV91[target]:
+            if SLN_Data_FV91[target][source].size > dimension:
+                dimension = SLN_Data_FV91[target][source].size
+        for source in SLN_Data_FV91[target]:
+            array = np.append(SLN_Data_FV91[target][source], np.zeros(
+                dimension - SLN_Data_FV91[target][source].size))
+            SLN_Data_FV91[target][source] = np.mean(array)
+
+    """
+    2. Map source areas
+       To map the data from M132 to FV91, we weight
+       the SLN by the overlap between the source area
+       in the former and the source area in the latter
+       scheme and the FLN to take into account the overall
+       strength of the connection.
+    """
+    SLN_Data_FV91_mapped = {}
+    for target in SLN_Data_FV91:
+        SLN_Data_FV91_mapped[target] = {}
+
+        for source in SLN_Data_FV91[target]:
+
+            source_key = source + '_M132'
+            if source == 'ENTO':
+                source_key = 'Entorhinal' + '_M132'
+            if source == 'POLE':
+                source_key = 'Temporal-pole' + '_M132'
+            if source == 'Parainsula':
+                source_key = 'Insula' + '_M132'
+            if source == 'SUB':
+                source_key = 'Subiculum' + '_M132'
+            if source == 'PIRI':
+                source_key = 'Piriform' + '_M132'
+            if source == 'PERI':
+                source_key = 'Perirhinal' + '_M132'
+            if source == 'Pro.St.':
+                source_key = 'Prostriate' + '_M132'
+            if source == 'INSULA':
+                source_key = 'Insula' + '_M132'
+            if source == 'CORE':
+                source_key = 'Aud-core' + '_M132'
+            if source == '29/30':
+                source_key = '29_30' + '_M132'
+            if source == 'TEa/mp':
+                source_key = 'TEam-p' + '_M132'
+            if source == 'TH/TF':
+                source_key = 'TH_TF' + '_M132'
+            if source == 'TEa/ma':
+                source_key = 'TEam-a' + '_M132'
+            if source == '9/46v':
+                source_key = '9_46v' + '_M132'
+            if source == '9/46d':
+                source_key = '9_46d' + '_M132'
+            if source == 'SII':
+                source_key = 'S2' + '_M132'
+
+            for FV91_key in overlap['all'][source_key]:
+                FV91_source = re.sub(
+                    "FVE.", "", re.sub("FVE_all.", "", FV91_key))
+                if FV91_source in area_list:
+                    # if norm > 0.0 and FV91_source in area_list :
+                    if FV91_source in SLN_Data_FV91_mapped[target]:
+                        SLN_Data_FV91_mapped[target][FV91_source]['S'] += (overlap['all'][
+                            source_key][FV91_key] / 100. * SLN_Data_FV91[
+                                target][source] * FLN_Data_FV91[target][source])
+
+                        SLN_Data_FV91_mapped[target][FV91_source]['I'] += overlap['all'][
+                            source_key][FV91_key] / 100. * (1. - SLN_Data_FV91[
+                                target][source]) * FLN_Data_FV91[target][source]
+                    else:
+                        SLN_Data_FV91_mapped[target][FV91_source] = {}
+                        SLN_Data_FV91_mapped[target][FV91_source]['S'] = overlap['all'][source_key][
+                            FV91_key] / 100. * SLN_Data_FV91[
+                                target][source] * FLN_Data_FV91[target][source]
+                        SLN_Data_FV91_mapped[target][FV91_source]['I'] = overlap['all'][source_key][
+                            FV91_key] / 100. * (1. - SLN_Data_FV91[
+                                target][source]) * FLN_Data_FV91[target][source]
+
+    for target in SLN_Data_FV91_mapped:
+        for source in SLN_Data_FV91_mapped[target]:
+            SLN_Data_FV91_mapped[target][source] = SLN_Data_FV91_mapped[target][source][
+                'S'] / (SLN_Data_FV91_mapped[target][source]['S'] +
+                        SLN_Data_FV91_mapped[target][source]['I'])
+
+    """
+    3. Sigmoidal fit of SLN vs. logarithmic ratio of neuron densities.
+    """
+
+    def integrand(x, mu, sigma):
+        return 1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(x - mu) ** 2 / (2. * sigma ** 2))
+
+    def probit(x,):
+        if isinstance(x, np.ndarray):
+            res = [integrate.quad(integrand, -1000., ii,
+                                  args=(0., 1.))[0] for ii in x]
+        else:
+            res = integrate.quad(integrand, -1000., x, args=(0., 1.))[0]
+        return res
+
+    # Call R script to perform SLN fit
+    try:
+        proc = subprocess.Popen(["Rscript",
+                                 os.path.join(basepath, 'SLN_logdensities.R')],
+                                stdout=subprocess.PIPE)
+        out = proc.communicate()[0].decode('utf-8')
+        R_fit = [float(out.split('\n')[1].split(' ')[1]),
+                 float(out.split('\n')[1].split(' ')[3])]
+    except OSError:
+        print("No R installation, taking hard-coded fit parameters.")
+        R_fit = [-0.1516142, -1.5343200]
+
+    """
+    4. Fill missing data with fitted values.
+    """
+    SLN_completed = {}
+    s = 0.
+    s2 = 0.
+    for target in area_list:
+        SLN_completed[target] = {}
+        for source in list(cocomac_completed[target].keys()):
+            if source in area_list and source != target:
+                if target in SLN_Data_FV91_mapped and source in SLN_Data_FV91_mapped[target]:
+                    value = SLN_Data_FV91_mapped[target][source]
+                    s += 1
+                else:
+                    x = R_fit[1] * float(np.log(neuronal_densities[target]['overall']) -
+                                         np.log(neuronal_densities[source]['overall'])) + R_fit[0]
+                    value = probit(x)
+                    s2 += 1
+                SLN_completed[target][source] = value
+
+    """
+    Write output files
+    ------------------
+
+    Store processed values to json file.
+    """
+    processed_data = {'cocomac_completed': cocomac_completed,
+                      'architecture_completed': architecture_completed,
+                      'hierarchy_completed': hierarchy_completed,
+                      'SLN_completed': SLN_completed,
+                      'SLN_Data_FV91': SLN_Data_FV91_mapped,
+                      'FLN_Data_FV91': FLN_Data_FV91_mapped,
+                      'FLN_completed': FLN_completed,
+                      'neuronal_densities': neuronal_densities,
+                      'neuronal_density_data_FV91_4layers': neuronal_density_data_FV91_4layers,
+                      'realistic_neuronal_numbers': realistic_neuronal_numbers,
+                      'total_thicknesses': total_thicknesses,
+                      'laminar_thicknesses': laminar_thicknesses_completed,
+                      'category_density': category_density
+                      }
+
+    with open(os.path.join(out_path,
+                           ''.join(('viscortex_processed_data', out_label, '.json'))),
+              'w') as f:
+        json.dump(processed_data, f)
+
+
+if __name__ == '__main__':
+    process_raw_data()
diff --git a/multiarea_model/data_multiarea/custom_data_files/.gitignore b/multiarea_model/data_multiarea/custom_data_files/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..86d0cb2726c6c7c179b99520c452dd1b68e7a813
--- /dev/null
+++ b/multiarea_model/data_multiarea/custom_data_files/.gitignore
@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore
\ No newline at end of file
diff --git a/multiarea_model/data_multiarea/raw_data/ArchitecturalTypes.csv b/multiarea_model/data_multiarea/raw_data/ArchitecturalTypes.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c71ea5d6e9370b40326dc12a5cbc3b7c10486dfd
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/ArchitecturalTypes.csv
@@ -0,0 +1,34 @@
+# Architectural types of cortical areas, data from Table 4 of Hilgetag, C. C., Medalla, M., Beul, S. F., & Barbas, H. (2015). The primate connectome in context: Principles of connections of the cortical visual system. NeuroImage, 134, 685–702. https://doi.org/10.1016/j.neuroimage.2016.04.017
+	
+FEF	5
+7a	4
+STPp	4
+CITv	5
+PITv	5
+VP	7
+V3A	6
+TF	5
+LIP	5
+V4t	6
+MIP	?
+CITd	5
+MSTd	5
+DP	5
+STPa	4
+MSTl	5
+MT	6
+46	4
+AITv	4
+VIP	5
+PITd	5
+VOT	6
+V1	8
+V2	7
+V3	7
+V4	6
+TH	2
+PIP	5
+FST	4
+MDP	?
+PO	5
+AITd	4
diff --git a/multiarea_model/data_multiarea/raw_data/BinzeggerData.csv b/multiarea_model/data_multiarea/raw_data/BinzeggerData.csv
new file mode 100644
index 0000000000000000000000000000000000000000..73d65c610b74b9a03805a55c595d760460e77f73
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/BinzeggerData.csv
@@ -0,0 +1,42 @@
+# Taken from Binzegger, T., Douglas, R. J., & Martin, K. a C. (2004). A quantitative map of the circuit of cat primary visual cortex. The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 24(39), 8441–53. https://doi.org/10.1523/JNEUROSCI.1400-04.2004
+																										
+		percent of cells (respect to total area)	number of synapses per neuron	nb1	p2/3	b2/3	nb2/3	ss4(L4)	ss4(L2/3)	p4	b4	nb4	p5(L2/3)	p5(L5/6)	b5	nb5	p6(L4)	p6(L5/6)	b6	nb6	corticocortical	TCs	TCn	TIs	TIn	TRN
+nb1		1.5	8890	10.1	6.3	0.6	1.1	0	0	0.1	0	0	0.1	0	0	0	0	0	0	0	77.6	0	4.1			
+p2/3	L2/3	26	5800	0	59.9	9.1	4.4	0.6	6.9	7.7	0	0.8	7.4	0	0	0	2.3	0	0	0.8	0	0	0			
+p2/3	L1		1306	10.2	6.3	0.1	1.1	0	0	0.1	0	0	0.1	0	0	0	0	0	0	0	78	0	4.1			
+b2/3		3.1	3854	1.3	51.6	10.6	3.4	0.5	5.8	6.6	0	0.8	6.3	0	0	0	2.1	0	0	0.7	9.8	0	0.5			
+nb2/3		4.2	3307	1.7	48.6	11.4	3.3	0.5	5.5	6.2	0	0.8	5.9	0	0	0	1.8	0	0	0.6	13	0	0.7			
+ss4(L4)		9.2	5792	0	2.7	0.2	0.6	11.9	3.7	4.1	7.1	2	0.8	0.1	0	0	32.7	0	0	5.8	25.3	1.7	1.3			
+ss4(L2/3)		9.2	4989	0	5.6	0.4	0.8	11.3	3.8	4.3	7.2	2.1	1.1	0.1	0	0	31.1	0	0	5.5	23.9	1.7	1.3			
+p4	L4	9.2	5031	0	4.3	0.2	0.6	11.5	3.6	4.2	7.2	2.1	1.2	0.1	0	0	31.4	0.1	0	5.9	24.5	1.7	1.3			
+p4	L2/3		866	0	63.1	5.1	4.1	0.6	7.2	8.1	0	0.6	7.8	0	0	0	2.5	0	0	0.8	0	0	0			
+p4	L1		806	10.2	6.3	0.1	1.1	0	0	0.1	0	0	0.1	0	0	0	0	0	0	0	78	0	4.1			
+b4		5.4	3230	0	5.8	0.5	0.8	11	3.8	4.2	8.4	2.4	1.1	0	0	0	30.3	0	0	5.4	23.3	1.6	1.2			
+nb4		1.5	3688	0	2.7	0.2	0.6	11.7	3.6	4	8.2	2.3	0.8	0.1	0	0	32.2	0	0	5.7	24.9	1.7	1.3			
+p5(L2/3)	L5	4.8	4316	0	45.9	1.8	0.3	3.3	2	7.5	0	0.9	11.7	1	0.8	1.1	2.3	2.1	0	11.5	7.2	0.1	0.4			
+p5(L2/3)	L4		283	0	2.8	0.1	0.7	12.2	3.8	4.2	5.2	1.5	0.8	0.1	0	0	33.7	0	0	5.9	26	1.8	1.4			
+p5(L2/3)	L2/3		412	0	63.1	5.1	4.1	0.6	7.2	8.1	0	0.6	7.8	0	0	0	2.5	0	0	0.8	0	0	0			
+p5(L2/3)	L1		185	10.2	6.3	0.1	1.1	0	0	0.1	0	0	0.1	0	0	0	0	0	0	0	78	0	4.1			
+p5(L5/6)	L5	1.3	5101	0	44.3	1.7	0.2	3.2	2	7.3	0	0.8	11.3	1.2	0.8	1.1	2.3	2.5	0.3	11.3	9.2	0.2	0.5			
+p5(L5/6)	L4		949	0	2.8	0.1	0.7	12.2	3.8	4.2	5.2	1.5	0.8	0.1	0	0	33.7	0	0	5.9	26	1.8	1.4			
+p5(L5/6)	L2/3		1367	0	63.1	5.1	4.1	0.6	7.2	8.1	0	0.6	7.8	0	0	0	2.5	0	0	0.8	0	0	0			
+p5(L5/6)	L1		5658	10.2	6.3	0.1	1.1	0	0	0.1	0	0	0.1	0	0	0	0	0	0	0	78	0	4.1			
+b5		0.6	2981	0	45.5	2.3	0.2	3.3	2	7.5	0	1.1	11.6	1	0.9	1.3	2.3	2	0	11.4	7.2	0.1	0.4			
+nb5		0.8	2981	0	45.5	2.3	0.2	3.3	2	7.5	0	1.1	11.6	1	0.9	1.3	2.3	2	0	11.4	7.2	0.1	0.4			
+p6(L4)	L6	13.6	3261	0	2.5	0.1	0.1	0.7	0.9	1.3	0	0.1	0.1	4.9	0	0.3	1.2	13.2	7.7	7.7	55.7	0.6	2.9			
+p6(L4)	L5		1066	0	46.8	0.8	0.3	3.4	2.1	7.7	0	0.6	11.9	1	0.6	0.8	2.3	2.1	0	11.7	7.4	0.1	0.4			
+p6(L4)	L4		1915	0	2.8	0.1	0.7	12.2	3.8	4.2	5.2	1.5	0.8	0.1	0	0	33.7	0	0	5.9	26	1.8	1.4			
+p6(L4)	L2/3		121	0	63.1	5.1	4.1	0.6	7.2	8.1	0	0.6	7.8	0	0	0	2.5	0	0	0.8	0	0	0			
+p6(L5/6)	L6	4.5	5573	0	2.5	0.1	0.1	0.7	0.9	1.3	0	0.1	0.1	4.9	0	0.3	1.2	13.2	7.8	7.8	55.7	0.6	2.9			
+p6(L5/6)	L5		257	0	46.8	0.8	0.3	3.4	2.1	7.7	0	0.6	11.9	1	0.6	0.8	2.3	2.1	0	11.7	7.4	0.1	0.4			
+p6(L5/6)	L4		243	0	2.8	0.1	0.7	12.2	3.8	4.2	5.2	1.5	0.8	0.1	0	0	33.7	0	0	5.9	26	1.8	1.4			
+p6(L5/6)	L2/3		286	0	63.1	5.1	4.1	0.6	7.2	8.1	0	0.6	7.8	0	0	0	2.5	0	0	0.8	0	0	0			
+p6(L5/6)	L1		62	10.2	6.3	0.1	1.1	0	0	0.1	0	0	0.1	0	0	0	0	0	0	0	78	0	4.1			
+b6		2	3220	0	2.5	0.1	0.1	0.7	0.9	1.3	0	0.1	0.1	4.9	0	0.4	1.2	13.2	7.7	7.7	55.7	0.6	2.9			
+nb6		2	3220	0	2.5	0.1	0.1	0.7	0.9	1.3	0	0.1	0.1	4.9	0	0.4	1.2	13.2	7.7	7.7	55.7	0.6	2.9			
+						brainstem sensory																				
+TCs		0.5	4000	31	0	7.1	0	0	0	0	0	0	0	0	0	0	23	8	0	0	0	0	0	5	0	25.9
+TCn		0.5	4000	31	0	7.1	0	0	0	0	0	0	14	3.8	0	0	0	13.2	0	0	0	0	0	0	5	25.9
+TIs		0.1	3000	13.5	0	48.7	0	0	0	0	0	0	0	0	0	0	9.8	3.3	0	0	0	0.4	0	24.4	0	0
+TIn		0.1	3000	13.4	0	48.7	0	0	0	0	0	0	5.8	1.6	0	0	0	5.4	0	0	0	0	0.6	0	24.4	0
+TRN		0.5	4000	40	0	0	0	0	0	0	0	0	0	0	0	0	30	0	0	0	0	10	10	0	0	10																								
diff --git a/multiarea_model/data_multiarea/raw_data/CoCoMac_complete_81.json b/multiarea_model/data_multiarea/raw_data/CoCoMac_complete_81.json
new file mode 100644
index 0000000000000000000000000000000000000000..79511674609eef9496c2480162a1da2f99dca2fe
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/CoCoMac_complete_81.json
@@ -0,0 +1,7578 @@
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+      null
+    ],
+    "FV91-6":[
+      null,
+      null
+    ],
+    "FV91-7a":[
+      "XX000?",
+      null
+    ],
+    "FV91-36":[
+      null,
+      null
+    ],
+    "FV91-46":[
+      null,
+      null
+    ],
+    "FV91-AITd":[
+      null,
+      null
+    ],
+    "FV91-AITv":[
+      null,
+      null
+    ],
+    "FV91-CITd":[
+      null,
+      null
+    ],
+    "FV91-CITv":[
+      null,
+      null
+    ],
+    "FV91-DP":[
+      null,
+      null
+    ],
+    "FV91-FEF":[
+      "0XX0XX",
+      null
+    ],
+    "FV91-FST":[
+      "0XX000",
+      "000X00"
+    ],
+    "FV91-IT":[
+      "XX000?",
+      null
+    ],
+    "FV91-LIP":[
+      null,
+      null
+    ],
+    "FV91-MDP":[
+      null,
+      null
+    ],
+    "FV91-MIP":[
+      null,
+      null
+    ],
+    "FV91-MST":[
+      "0XX000",
+      "000X00"
+    ],
+    "FV91-MSTd":[
+      "0XX000",
+      "000X00"
+    ],
+    "FV91-MSTl":[
+      null,
+      null
+    ],
+    "FV91-MT":[
+      "0XX000",
+      "000X00"
+    ],
+    "FV91-PIP":[
+      null,
+      "000X00"
+    ],
+    "FV91-PIT":[
+      "XX000?",
+      null
+    ],
+    "FV91-PITd":[
+      "XX000?",
+      null
+    ],
+    "FV91-PITv":[
+      "XX000?",
+      null
+    ],
+    "FV91-PO":[
+      "0XX000",
+      null
+    ],
+    "FV91-STP":[
+      null,
+      null
+    ],
+    "FV91-STPa":[
+      null,
+      null
+    ],
+    "FV91-STPp":[
+      null,
+      null
+    ],
+    "FV91-TF":[
+      null,
+      "000X00"
+    ],
+    "FV91-TH":[
+      null,
+      null
+    ],
+    "FV91-V1":[
+      null,
+      null
+    ],
+    "FV91-V2":[
+      "XX00XX",
+      "XXX0XX"
+    ],
+    "FV91-V3":[
+      "0XX0XX",
+      null
+    ],
+    "FV91-V3A":[
+      null,
+      "X?????"
+    ],
+    "FV91-V4":[
+      "0XX0XX",
+      "000X00"
+    ],
+    "FV91-V4t":[
+      null,
+      null
+    ],
+    "FV91-V4v":[
+      null,
+      null
+    ],
+    "FV91-VIP":[
+      null,
+      "000X00"
+    ],
+    "FV91-VOT":[
+      null,
+      "000X00"
+    ]
+  }
+}
diff --git a/multiarea_model/data_multiarea/raw_data/CorticalThickness.csv b/multiarea_model/data_multiarea/raw_data/CorticalThickness.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4e1b3a15d6fcc0c56f50e5cb78f5c38975d52184
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/CorticalThickness.csv
@@ -0,0 +1,33 @@
+# Data from  Table 4 of Hilgetag, C. C., Medalla, M., Beul, S. F., & Barbas, H. (2015). The primate connectome in context: Principles of connections of the cortical visual system. NeuroImage, 134, 685–702. https://doi.org/10.1016/j.neuroimage.2016.04.017
+
+AREA	comments	TYPE	DENSITY [neurons/mm3]	THICKNESS [mm]
+V1		8	1.61E+05	1.24
+V2		7	9.76E+04	1.46
+VP		7		
+V3		7		
+PIP		5		
+V3A		6	6.14E+04	1.66
+V4		6	7.12E+04	1.89
+P0		5		
+MT		6	6.60E+04	1.96
+V4t		6		
+DP		5	4.80E+04	2.06
+VOT	TEO	6	6.33E+04	
+LIP		5	5.21E+04	2.30
+VIP		5		
+MSTd		5		
+MSTI		5		
+PITd		5		
+PITv		5		
+7a	PG	4	3.62E+04	2.68
+STPp		4		
+CITd		5		
+CITv		5		
+STPa		4		
+AITv		4	3.88E+04	2.63
+FEF		5	4.50E+04	2.21
+TF		5	4.61E+04	1.62
+46		4	3.80E+04	1.86
+FST		4		
+TH		2	3.32E+04	1.87
+AITd		4	3.88E+04	2.63
diff --git a/multiarea_model/data_multiarea/raw_data/Euclidean_Distances.csv b/multiarea_model/data_multiarea/raw_data/Euclidean_Distances.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ea01607ab8fff3d374112e7baf05266735f139b8
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Euclidean_Distances.csv
@@ -0,0 +1,35 @@
+#Taken from Cocomac database (www.cocomac.org), the center of the areas is computed (Details to be clarified) and the distance between two areas is taken to be the euclidian distance between the center points
+
+	V1	V2	V3	VP	V3A	V4	VOT	V4t	MT	FST	PITd	PITv	CITd	CITv	AITd	AITv	STPp	STPa	TF	TH	MSTd	MSTl	PO	PIP	LIP	VIP	MIP	MDP	DP	7a	FEF	46
+V1	0	7.669	10.407	14.918	9.502	20.718	20.303	15.964	17.943	26.424	22.552	25.953	29.645	32.295	35.085	34.961	35.125	34.287	20.186	15.843	13.643	19.724	9.591	4.85	18.223	14.97	12.83	18.891	16.286	21.617	49.116	53.474
+V2	7.669	0	16.474	13.736	14.777	20.895	17.106	14.231	14.384	21.005	18.76	22.471	24.545	27.142	29.2	28.516	30.656	28.257	14.413	8.842	12.641	16.43	11.825	9.575	21.31	16.851	16.603	22.103	21.122	23.901	45.706	49.215
+V3	10.407	16.474	0	23.687	4.877	22.442	25.983	18.984	22.913	31.308	27.15	30.53	34.973	38.288	40.419	41.632	38.735	39.334	27.715	22.143	14.309	22.533	10.306	6.91	10.294	9.789	6.57	11.819	7.32	15.952	47.503	52.895
+VP	14.918	13.736	23.687	0	20.459	17.728	13.018	16.116	14.617	22.352	17.564	19.027	22.84	23.603	28.856	27.448	29.576	29.245	13.457	19.06	20.132	19.786	23.808	18.613	30.033	27.239	27.015	33.187	27.296	28.745	51.906	55.377
+V3a	9.502	14.777	4.877	20.459	0	17.567	21.51	14.493	18.613	27.361	22.713	25.917	30.713	33.975	36.425	37.838	34.362	35.509	24.029	20.066	10.876	18.424	12.365	6.34	10.771	10.211	9.6	15.229	7.135	13.167	44.973	50.333
+V4	20.718	20.895	22.442	17.728	17.567	0	10.09	8.234	10.327	17.944	11.059	11.679	18.537	21.029	25.161	27.626	20.793	25.326	17.386	22.325	14.327	11.572	26.92	20.335	23.275	23.019	25.788	30.957	20.716	16.331	39.627	44.463
+VOT	20.303	17.106	25.983	13.018	21.51	10.09	0	8.56	4.818	11.18	4.921	6.234	11.265	13.231	18.04	18.888	16.895	18.446	7.866	16.795	15.495	9.847	26.745	21.263	27.825	25.568	28.107	33.619	26.509	23.356	40.303	43.702
+V4t	15.964	14.231	18.984	16.116	14.493	8.234	8.56	0	4.928	13.569	8.314	11.721	16.38	19.794	22.352	24.334	20.079	21.763	12.551	14.326	7.395	5.247	20.682	15.123	19.375	17.463	20.624	25.78	18.585	15.32	36.802	41.194
+MT	17.943	14.384	22.913	14.617	18.613	10.327	4.818	4.928	0	9.873	4.622	8.434	12.241	15.386	18.373	19.747	17.313	18.035	7.972	13.142	11.077	5.603	23.102	18.071	23.826	21.285	24.249	29.486	23.294	20.105	37.359	40.99
+FST	26.424	21.005	31.308	22.352	27.361	17.944	11.18	13.569	9.873	0	7.182	8.966	5.502	9.658	9.121	11.736	10.308	8.257	9.915	15.445	17.619	9.616	29.692	26.19	30.151	27.276	31.187	35.525	31.148	26.223	31.943	34.145
+PITd	22.552	18.76	27.15	17.564	22.713	11.059	4.921	8.314	4.622	7.182	0	4.247	8.246	11.54	14.737	16.873	12.894	14.759	8.946	16.263	14.647	6.83	27.529	22.594	27.173	24.968	28.408	33.389	26.815	22.225	35.478	38.792
+PITv	25.953	22.471	30.53	19.027	25.917	11.679	6.234	11.721	8.434	8.966	4.247	0	7.188	9.4	13.999	16.368	11.076	14.765	11.282	20.27	18.517	10.65	31.515	26.255	30.649	28.823	32.239	37.281	29.877	24.757	36.529	39.658
+CITd	29.645	24.545	34.973	22.84	30.713	18.537	11.265	16.38	12.241	5.502	8.246	7.188	0	4.415	6.947	9.555	7.844	7.951	11.327	20.012	21.817	13.426	34.072	29.947	34.43	31.883	35.585	40.245	34.727	29.504	34.538	36.404
+CITv	32.295	27.142	38.288	23.603	33.975	21.029	13.231	19.794	15.386	9.658	11.54	9.4	4.415	0	7.452	8.228	9.696	9.616	13.011	23.096	25.666	17.467	37.363	33.102	38.409	35.819	39.231	44.11	38.343	33.361	37.88	39.278
+AITd	35.085	29.2	40.419	28.856	36.425	25.161	18.04	22.352	18.373	9.121	14.737	13.999	6.947	7.452	0	6.067	8.435	2.826	16.236	23.084	26.696	18.49	38.418	35.178	39.001	36.179	40.2	44.35	40.125	34.51	32.576	33.06
+AITv	34.961	28.516	41.632	27.448	37.838	27.626	18.888	24.334	19.747	11.736	16.873	16.368	9.555	8.228	6.067	0	13.991	7.36	15.098	22.719	28.696	21.169	38.69	35.777	41.462	38.086	41.465	45.913	42.363	37.911	37.909	37.969
+STPp	35.125	30.656	38.735	29.576	34.362	20.793	16.895	20.079	17.313	10.308	12.894	11.076	7.844	9.696	8.435	13.991	0	9.194	18.746	25.622	25.029	16.375	38.804	34.605	36.377	34.661	39.157	43.213	37.065	30.035	29.254	31.135
+STPa	34.287	28.257	39.334	29.245	35.509	25.326	18.446	21.763	18.035	8.257	14.759	14.765	7.951	9.616	2.826	7.36	9.194	0	16.194	21.57	25.42	17.504	36.968	34.104	37.481	34.548	38.707	42.606	39.004	33.41	30.642	31.123
+TF	20.186	14.413	27.715	13.457	24.029	17.386	7.866	12.551	7.972	9.915	8.946	11.282	11.327	13.011	16.236	15.098	18.746	16.194	0	12.037	16.994	12.178	25.442	21.646	29.867	26.319	28.516	33.821	29.643	27.666	41.147	43.571
+TH	15.843	8.842	22.143	19.06	20.066	22.325	16.795	14.326	13.142	15.445	16.263	20.27	20.012	23.096	23.084	22.719	25.622	21.57	12.037	0	12.623	13.417	16.454	15.74	23.195	18.363	20.386	24.658	24.943	24.883	38.986	41.699
+MSTd	13.643	12.641	14.309	20.132	10.876	14.327	15.495	7.395	11.077	17.619	14.647	18.517	21.817	25.666	26.696	28.696	25.029	25.42	16.994	12.623	0	8.724	15.018	10.833	13.045	10.327	14.175	18.795	13.991	12.344	35.715	40.443
+MSTl	19.724	16.43	22.533	19.786	18.424	11.572	9.847	5.247	5.603	9.616	6.83	10.65	13.426	17.467	18.49	21.169	16.375	17.504	12.178	13.417	8.724	0	22.814	18.443	21.01	18.78	22.872	27.333	21.638	16.873	32.244	36.264
+PO	9.591	11.825	10.306	23.808	12.365	26.92	26.745	20.682	23.102	29.692	27.529	31.515	34.072	37.363	38.418	38.69	38.804	36.968	25.442	16.454	15.018	22.814	0	7.154	14.878	10.474	7.077	11.399	15.989	22.199	47.074	51.398
+PIP	4.85	9.575	6.91	18.613	6.34	20.335	21.263	15.123	18.071	26.19	22.594	26.255	29.947	33.102	35.178	35.777	34.605	34.104	21.646	15.74	10.833	18.443	7.154	0	13.458	10.174	8.42	14.605	12.289	17.854	45.858	50.545
+LIP	18.223	21.31	10.294	30.033	10.771	23.275	27.825	19.375	23.826	30.151	27.173	30.649	34.43	38.409	39.001	41.462	36.377	37.481	29.867	23.195	13.045	21.01	14.878	13.458	0	5.445	8.48	9.584	6.395	10.179	39.182	45.048
+VIP	14.97	16.851	9.789	27.239	10.211	23.019	25.568	17.463	21.285	27.276	24.968	28.823	31.883	35.819	36.179	38.086	34.661	34.548	26.319	18.363	10.327	18.78	10.474	10.174	5.445	0	5.864	8.636	9.627	13.176	38.992	44.214
+MIP	12.83	16.603	6.57	27.015	9.6	25.788	28.107	20.624	24.249	31.187	28.408	32.239	35.585	39.231	40.2	41.465	39.157	38.707	28.516	20.386	14.175	22.872	7.077	8.42	8.48	5.864	0	6.225	10.073	17.196	44.807	49.923
+MDP	18.891	22.103	11.819	33.187	15.229	30.957	33.619	25.78	29.486	35.525	33.389	37.281	40.245	44.11	44.35	45.913	43.213	42.606	33.821	24.658	18.795	27.333	11.399	14.605	9.584	8.636	6.225	0	13.164	19.733	44.95	50.182
+DP	16.286	21.122	7.32	27.296	7.135	20.716	26.509	18.585	23.294	31.148	26.815	29.877	34.727	38.343	40.125	42.363	37.065	39.004	29.643	24.943	13.991	21.638	15.989	12.289	6.395	9.627	10.073	13.164	0	9.838	43.343	49.351
+7a	21.617	23.901	15.952	28.745	13.167	16.331	23.356	15.32	20.105	26.223	22.225	24.757	29.504	33.361	34.51	37.911	30.035	33.41	27.666	24.883	12.344	16.873	22.199	17.854	10.179	13.176	17.196	19.733	9.838	0	35.1	41.419
+FEF	49.116	45.706	47.503	51.906	44.973	39.627	40.303	36.802	37.359	31.943	35.478	36.529	34.538	37.88	32.576	37.909	29.254	30.642	41.147	38.986	35.715	32.244	47.074	45.858	39.182	38.992	44.807	44.95	43.343	35.1	0	7.459
+46	53.474	49.215	52.895	55.377	50.333	44.463	43.702	41.194	40.99	34.145	38.792	39.658	36.404	39.278	33.06	37.969	31.135	31.123	43.571	41.699	40.443	36.264	51.398	50.545	45.048	44.214	49.923	50.182	49.351	41.419	7.459	0
diff --git a/multiarea_model/data_multiarea/raw_data/Intrinsic_Connectivity.csv b/multiarea_model/data_multiarea/raw_data/Intrinsic_Connectivity.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2ec88432437b7f3bec74a4fe9d07877f2bfea27d
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Intrinsic_Connectivity.csv
@@ -0,0 +1,11 @@
+# Data from Potjans, T. C., & Diesmann, M. (2014). The cell-type specific cortical microcircuit: Relating structure and activity in a full-scale spiking network model. Cerebral Cortex, 24(3), 785–806. https://doi.org/10.1093/cercor/bhs358
+
+	23E	23I	4E	4I	5E	5I	6E	6I	Th
+23E	0.101	0.169	0.044	0.082	0.032	0	0.008	0	0
+23I	0.135	0.137	0.032	0.052	0.075	0	0.004	0	0
+4E	0.008	0.006	0.05	0.135	0.007	0.0003	0.045	0	0.0983
+4I	0.069	0.003	0.079	0.16	0.003	0	0.106	0	0.0619
+5E	0.1	0.062	0.051	0.006	0.083	0.373	0.02	0	0
+5I	0.055	0.027	0.026	0.002	0.06	0.316	0.009	0	0
+6E	0.016	0.007	0.021	0.017	0.057	0.02	0.04	0.225	0.0512
+6I	0.036	0.001	0.003	0.001	0.028	0.008	0.066	0.144	0.0196
diff --git a/multiarea_model/data_multiarea/raw_data/Intrinsic_FLN_Data.csv b/multiarea_model/data_multiarea/raw_data/Intrinsic_FLN_Data.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4c5839bdffe4a733122eeb46edeba389c468b384
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Intrinsic_FLN_Data.csv
@@ -0,0 +1,6 @@
+# Data from supplement of Markov et al. (2011) "Weight Consistency Specifies Regularities of Macaque Cortical Networks"
+
+V1	0.85	0.05
+V2	0.75	0.05
+V4	0.9	0.05
+mean	0.79	0.11
diff --git a/multiarea_model/data_multiarea/raw_data/Laminar_Thickness_cat.csv b/multiarea_model/data_multiarea/raw_data/Laminar_Thickness_cat.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1d3ba5487f09d630d83d20ee65cbc924a555eec6
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Laminar_Thickness_cat.csv
@@ -0,0 +1,12 @@
+# Thickness of Laminae and errors taken from Table 1 of Beaulieu, C., & Colonnier, M. (1983). The number of neurons in the different laminae of the binocular and monocular regions of area 17 in the cat. Journal of Comparative Neurology, 344. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/cne.902170308/abstract for cat area 17, layer names are taken from the table		
+
+1	0.166	0.010              		
+2	0.128	0.026
+3a	0.163	0.014
+3b	0.174	0.014
+4a	0.265	0.072
+4b	0.245	0.045
+5	0.137	0.02
+6a	0.246	0.026
+6b	0.098	0.023
+total	1.621	0.134	
\ No newline at end of file
diff --git a/multiarea_model/data_multiarea/raw_data/Markov2014_FLN_rawdata.csv b/multiarea_model/data_multiarea/raw_data/Markov2014_FLN_rawdata.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6f5cda095f4707a093564290009cb0a2454dbe25
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Markov2014_FLN_rawdata.csv
@@ -0,0 +1,1991 @@
+# Data from the supplement of Markov et al (2014). A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cerebral Cortex (New York, N.Y. : 1991), 24(1), 17–36. https://doi.org/10.1093/cercor/bhs270																																																																															
+																																																																																			
+1	M81LH	V2	V1	7.66e-01	86132	Known																																																																													
+1	M81LH	V3	V1	8.26e-03	929	Known																																																																													
+1	M81LH	V3A	V1	1.45e-03	163	Known																																																																													
+1	M81LH	V4	V1	1.17e-01	13171	Known																																																																													
+1	M81LH	V4t	V1	1.46e-03	164	Known																																																																													
+1	M81LH	LIP	V1	1.14e-03	128	Known																																																																													
+1	M81LH	PIP	V1	9.96e-04	112	Known																																																																													
+1	M81LH	DP	V1	1.78e-04	20	NFP																																																																													
+1	M81LH	STPr	V1	2.67e-05	3	NFP																																																																													
+1	M81LH	STPi	V1	5.34e-04	60	Known																																																																													
+1	M81LH	STPc	V1	1.25e-03	141	Known																																																																													
+1	M81LH	PGa	V1	6.94e-04	78	Known																																																																													
+1	M81LH	IPa	V1	4.52e-03	508	NFP																																																																													
+1	M81LH	FST	V1	4.45e-03	500	Known																																																																													
+1	M81LH	MST	V1	1.32e-02	1480	Known																																																																													
+1	M81LH	MT	V1	5.95e-02	6690	Known																																																																													
+1	M81LH	TEO	V1	7.52e-03	846	Known																																																																													
+1	M81LH	TEOm	V1	4.09e-04	46	Known																																																																													
+1	M81LH	PERI	V1	4.45e-04	50	Known																																																																													
+1	M81LH	TEad	V1	3.56e-05	4	NFP																																																																													
+1	M81LH	TEav	V1	2.76e-04	31	NFP																																																																													
+1	M81LH	TEpd	V1	1.63e-03	183	Known																																																																													
+1	M81LH	TEpv	V1	2.24e-03	252	Known																																																																													
+1	M81LH	TEa/ma	V1	8.89e-06	1	NFP																																																																													
+1	M81LH	TEa/mp	V1	2.83e-03	318	Known																																																																													
+1	M81LH	TH/TF	V1	3.52e-03	396	Known																																																																													
+1	M81LH	MB	V1	8.89e-06	1	Known																																																																													
+1	M81LH	LB	V1	3.56e-05	4	Known																																																																													
+1	M81LH	PBc	V1	1.42e-04	16	Known																																																																													
+1	M81LH	8l	V1	1.42e-04	16	Known																																																																													
+1	M81LH	8r	V1	8.89e-06	1	NFP																																																																													
+2	M85LH	V2	V1	7.52e-01	105064	Known																																																																													
+2	M85LH	V3	V1	6.25e-03	873	Known																																																																													
+2	M85LH	V3A	V1	1.33e-03	186	Known																																																																													
+2	M85LH	V4	V1	9.50e-02	13261	Known																																																																													
+2	M85LH	V4t	V1	2.89e-03	404	Known																																																																													
+2	M85LH	LIP	V1	8.95e-04	125	Known																																																																													
+2	M85LH	PIP	V1	3.01e-04	42	Known																																																																													
+2	M85LH	DP	V1	7.88e-04	110	NFP																																																																													
+2	M85LH	STPr	V1	5.01e-05	7	NFP																																																																													
+2	M85LH	STPi	V1	4.87e-04	68	Known																																																																													
+2	M85LH	STPc	V1	1.73e-03	241	Known																																																																													
+2	M85LH	PGa	V1	7.45e-04	104	Known																																																																													
+2	M85LH	IPa	V1	5.44e-04	76	NFP																																																																													
+2	M85LH	FST	V1	7.68e-03	1072	Known																																																																													
+2	M85LH	MST	V1	4.40e-03	614	Known																																																																													
+2	M85LH	MT	V1	5.21e-02	7282	Known																																																																													
+2	M85LH	TEO	V1	3.89e-02	5433	Known																																																																													
+2	M85LH	TEOm	V1	2.81e-03	392	Known																																																																													
+2	M85LH	PERI	V1	5.57e-03	778	Known																																																																													
+2	M85LH	TEad	V1	2.24e-03	313	NFP																																																																													
+2	M85LH	TEav	V1	8.59e-04	120	NFP																																																																													
+2	M85LH	TEpd	V1	5.01e-03	699	Known																																																																													
+2	M85LH	TEpv	V1	7.58e-03	1059	Known																																																																													
+2	M85LH	TEa/ma	V1	2.36e-03	330	NFP																																																																													
+2	M85LH	TEa/mp	V1	1.57e-03	219	Known																																																																													
+2	M85LH	TH/TF	V1	5.24e-03	732	Known																																																																													
+2	M85LH	LB	V1	7.16e-05	10	Known																																																																													
+2	M85LH	PBc	V1	1.36e-04	19	Known																																																																													
+2	M85LH	8l	V1	1.22e-04	17	Known																																																																													
+3	M85RH	V2	V1	7.08e-01	141303	Known																																																																													
+3	M85RH	V3	V1	6.82e-03	1361	Known																																																																													
+3	M85RH	V3A	V1	1.57e-03	314	Known																																																																													
+3	M85RH	V4	V1	1.51e-01	30128	Known																																																																													
+3	M85RH	V4t	V1	1.72e-03	344	Known																																																																													
+3	M85RH	LIP	V1	9.52e-04	190	Known																																																																													
+3	M85RH	PIP	V1	5.76e-04	115	Known																																																																													
+3	M85RH	DP	V1	5.06e-04	101	NFP																																																																													
+3	M85RH	STPr	V1	2.00e-05	4	NFP																																																																													
+3	M85RH	STPi	V1	7.87e-04	157	Known																																																																													
+3	M85RH	STPc	V1	1.94e-03	387	Known																																																																													
+3	M85RH	PGa	V1	1.05e-03	210	Known																																																																													
+3	M85RH	IPa	V1	6.21e-04	124	NFP																																																																													
+3	M85RH	FST	V1	8.68e-03	1732	Known																																																																													
+3	M85RH	MST	V1	6.50e-03	1298	Known																																																																													
+3	M85RH	MT	V1	5.23e-02	10444	Known																																																																													
+3	M85RH	TEO	V1	3.82e-02	7622	Known																																																																													
+3	M85RH	TEOm	V1	2.20e-04	44	Known																																																																													
+3	M85RH	PERI	V1	1.18e-03	235	Known																																																																													
+3	M85RH	TEad	V1	1.50e-03	300	NFP																																																																													
+3	M85RH	TEav	V1	1.45e-03	289	NFP																																																																													
+3	M85RH	TEpd	V1	4.07e-03	813	Known																																																																													
+3	M85RH	TEpv	V1	3.48e-03	695	Known																																																																													
+3	M85RH	TEa/ma	V1	7.27e-04	145	NFP																																																																													
+3	M85RH	TEa/mp	V1	1.72e-03	343	Known																																																																													
+3	M85RH	TH/TF	V1	3.48e-03	694	Known																																																																													
+3	M85RH	CORE	V1	1.55e-04	31	Known																																																																													
+3	M85RH	MB	V1	1.25e-04	25	Known																																																																													
+3	M85RH	LB	V1	1.00e-04	20	Known																																																																													
+3	M85RH	PBc	V1	1.60e-04	32	Known																																																																													
+3	M85RH	8l	V1	3.26e-04	65	Known																																																																													
+4	M88RH	V2	V1	7.51e-01	27362	Known																																																																													
+4	M88RH	V3	V1	3.73e-03	136	Known																																																																													
+4	M88RH	V3A	V1	5.22e-03	190	Known																																																																													
+4	M88RH	V4	V1	7.16e-02	2606	Known																																																																													
+4	M88RH	V4t	V1	4.06e-03	148	Known																																																																													
+4	M88RH	7op	V1	3.30e-04	12	NFP																																																																													
+4	M88RH	LIP	V1	1.54e-03	56	Known																																																																													
+4	M88RH	PIP	V1	1.10e-04	4	Known																																																																													
+4	M88RH	DP	V1	7.96e-04	29	NFP																																																																													
+4	M88RH	STPi	V1	2.20e-04	8	Known																																																																													
+4	M88RH	STPc	V1	1.78e-03	65	Known																																																																													
+4	M88RH	TPt	V1	1.10e-04	4	NFP																																																																													
+4	M88RH	PGa	V1	8.51e-04	31	Known																																																																													
+4	M88RH	IPa	V1	3.30e-04	12	NFP																																																																													
+4	M88RH	FST	V1	1.01e-02	368	Known																																																																													
+4	M88RH	MST	V1	6.89e-03	251	Known																																																																													
+4	M88RH	MT	V1	7.83e-02	2850	Known																																																																													
+4	M88RH	TEO	V1	2.57e-02	935	Known																																																																													
+4	M88RH	TEOm	V1	5.82e-03	212	Known																																																																													
+4	M88RH	PERI	V1	9.89e-04	36	Known																																																																													
+4	M88RH	TEad	V1	5.49e-04	20	NFP																																																																													
+4	M88RH	TEav	V1	2.28e-03	83	NFP																																																																													
+4	M88RH	TEpd	V1	6.15e-03	224	Known																																																																													
+4	M88RH	TEpv	V1	1.15e-02	420	Known																																																																													
+4	M88RH	TEa/ma	V1	2.20e-04	8	NFP																																																																													
+4	M88RH	TEa/mp	V1	2.75e-03	100	Known																																																																													
+4	M88RH	TH/TF	V1	6.26e-03	228	Known																																																																													
+4	M88RH	CORE	V1	5.49e-05	2	Known																																																																													
+4	M88RH	MB	V1	5.49e-05	2	Known																																																																													
+4	M88RH	LB	V1	1.10e-04	4	Known																																																																													
+4	M88RH	PBc	V1	1.10e-04	4	Known																																																																													
+4	M88RH	8l	V1	1.65e-04	6	Known																																																																													
+5	M121LH	V2	V1	6.83e-01	66489	Known																																																																													
+5	M121LH	V3	V1	9.48e-03	922	Known																																																																													
+5	M121LH	V3A	V1	1.34e-03	130	Known																																																																													
+5	M121LH	V4	V1	2.04e-01	19832	Known																																																																													
+5	M121LH	V4t	V1	6.99e-04	68	Known																																																																													
+5	M121LH	LIP	V1	1.91e-03	186	Known																																																																													
+5	M121LH	PIP	V1	2.26e-03	220	Known																																																																													
+5	M121LH	DP	V1	1.85e-04	18	NFP																																																																													
+5	M121LH	STPi	V1	1.34e-04	13	Known																																																																													
+5	M121LH	STPc	V1	1.56e-03	152	Known																																																																													
+5	M121LH	PGa	V1	3.29e-04	32	Known																																																																													
+5	M121LH	IPa	V1	1.44e-04	14	NFP																																																																													
+5	M121LH	FST	V1	6.74e-03	656	Known																																																																													
+5	M121LH	MST	V1	1.91e-03	186	Known																																																																													
+5	M121LH	MT	V1	5.20e-02	5057	Known																																																																													
+5	M121LH	TEO	V1	2.48e-02	2418	Known																																																																													
+5	M121LH	TEOm	V1	3.60e-04	35	Known																																																																													
+5	M121LH	PERI	V1	6.17e-04	60	Known																																																																													
+5	M121LH	TEad	V1	5.14e-05	5	NFP																																																																													
+5	M121LH	TEav	V1	4.52e-04	44	NFP																																																																													
+5	M121LH	TEpd	V1	1.29e-03	126	Known																																																																													
+5	M121LH	TEpv	V1	2.20e-03	214	Known																																																																													
+5	M121LH	TEa/ma	V1	2.26e-04	22	NFP																																																																													
+5	M121LH	TEa/mp	V1	2.48e-03	241	Known																																																																													
+5	M121LH	TH/TF	V1	1.37e-03	133	Known																																																																													
+5	M121LH	PBc	V1	2.06e-05	2	Known																																																																													
+5	M121LH	8l	V1	3.19e-04	31	Known																																																																													
+6	M101LH	V1	V2	7.33e-01	262279	Known																																																																													
+6	M101LH	V3	V2	3.99e-02	14301	Known																																																																													
+6	M101LH	V3A	V2	1.11e-03	399	Known																																																																													
+6	M101LH	V4	V2	1.74e-01	62257	Known																																																																													
+6	M101LH	V4t	V2	7.32e-04	262	Known																																																																													
+6	M101LH	LIP	V2	8.80e-04	315	Known																																																																													
+6	M101LH	VIP	V2	2.46e-04	88	NFP																																																																													
+6	M101LH	PIP	V2	5.75e-04	206	Known																																																																													
+6	M101LH	DP	V2	4.02e-04	144	Known																																																																													
+6	M101LH	V6A	V2	3.91e-05	14	NFP																																																																													
+6	M101LH	STPi	V2	2.51e-05	9	NFP																																																																													
+6	M101LH	STPc	V2	9.50e-05	34	Known																																																																													
+6	M101LH	TPt	V2	2.79e-06	1	NFP																																																																													
+6	M101LH	PGa	V2	1.06e-04	38	Known																																																																													
+6	M101LH	IPa	V2	7.54e-05	27	NFP																																																																													
+6	M101LH	FST	V2	2.25e-03	807	Known																																																																													
+6	M101LH	MST	V2	7.85e-04	281	Known																																																																													
+6	M101LH	MT	V2	3.65e-02	13074	Known																																																																													
+6	M101LH	TEO	V2	3.73e-03	1337	Known																																																																													
+6	M101LH	TEOm	V2	2.12e-03	759	Known																																																																													
+6	M101LH	PERI	V2	8.38e-05	30	NFP																																																																													
+6	M101LH	TEad	V2	5.31e-05	19	NFP																																																																													
+6	M101LH	TEav	V2	4.75e-05	17	NFP																																																																													
+6	M101LH	TEpd	V2	7.96e-04	285	NFP																																																																													
+6	M101LH	TEpv	V2	8.21e-04	294	Known																																																																													
+6	M101LH	TEa/ma	V2	2.79e-06	1	Known																																																																													
+6	M101LH	TEa/mp	V2	6.14e-05	22	Known																																																																													
+6	M101LH	TH/TF	V2	1.97e-03	705	Known																																																																													
+6	M101LH	MB	V2	8.38e-06	3	NFP																																																																													
+6	M101LH	8l	V2	8.94e-05	32	NFP																																																																													
+6	M101LH	8m	V2	1.68e-05	6	NFP																																																																													
+7	M101RH	V1	V2	7.83e-01	191313	Known																																																																													
+7	M101RH	V3	V2	4.33e-02	10590	Known																																																																													
+7	M101RH	V3A	V2	3.76e-03	918	Known																																																																													
+7	M101RH	V4	V2	1.10e-01	26919	Known																																																																													
+7	M101RH	V4t	V2	8.80e-04	215	Known																																																																													
+7	M101RH	LIP	V2	1.49e-03	363	Known																																																																													
+7	M101RH	VIP	V2	9.41e-05	23	NFP																																																																													
+7	M101RH	PIP	V2	2.90e-04	71	Known																																																																													
+7	M101RH	DP	V2	8.35e-04	204	Known																																																																													
+7	M101RH	V6A	V2	2.05e-05	5	NFP																																																																													
+7	M101RH	STPi	V2	8.18e-05	20	NFP																																																																													
+7	M101RH	STPc	V2	8.18e-05	20	Known																																																																													
+7	M101RH	PGa	V2	3.27e-05	8	Known																																																																													
+7	M101RH	IPa	V2	8.18e-06	2	NFP																																																																													
+7	M101RH	FST	V2	2.38e-03	582	Known																																																																													
+7	M101RH	MST	V2	1.21e-03	295	Known																																																																													
+7	M101RH	MT	V2	4.08e-02	9973	Known																																																																													
+7	M101RH	TEO	V2	5.00e-03	1222	Known																																																																													
+7	M101RH	TEOm	V2	2.08e-03	509	Known																																																																													
+7	M101RH	PERI	V2	1.02e-04	25	NFP																																																																													
+7	M101RH	TEad	V2	2.86e-05	7	NFP																																																																													
+7	M101RH	TEav	V2	4.09e-05	10	NFP																																																																													
+7	M101RH	TEpd	V2	6.05e-04	148	NFP																																																																													
+7	M101RH	TEpv	V2	1.46e-03	358	Known																																																																													
+7	M101RH	TEa/ma	V2	1.64e-05	4	Known																																																																													
+7	M101RH	TEa/mp	V2	1.55e-04	38	Known																																																																													
+7	M101RH	TH/TF	V2	2.26e-03	553	Known																																																																													
+7	M101RH	MB	V2	4.09e-06	1	NFP																																																																													
+7	M101RH	8l	V2	1.15e-04	28	NFP																																																																													
+7	M101RH	8m	V2	5.73e-05	14	NFP																																																																													
+8	M103LH	V1	V2	7.75e-01	145246	Known																																																																													
+8	M103LH	V3	V2	1.04e-02	1957	Known																																																																													
+8	M103LH	V3A	V2	9.24e-04	173	Known																																																																													
+8	M103LH	V4	V2	1.70e-01	31838	Known																																																																													
+8	M103LH	V4t	V2	1.86e-03	349	Known																																																																													
+8	M103LH	LIP	V2	4.97e-04	93	Known																																																																													
+8	M103LH	VIP	V2	5.87e-05	11	NFP																																																																													
+8	M103LH	PIP	V2	4.43e-04	83	Known																																																																													
+8	M103LH	DP	V2	2.67e-05	5	Known																																																																													
+8	M103LH	V6	V2	1.60e-05	3	NFP																																																																													
+8	M103LH	V6A	V2	2.14e-05	4	NFP																																																																													
+8	M103LH	STPr	V2	2.67e-05	5	Known																																																																													
+8	M103LH	STPi	V2	1.01e-04	19	NFP																																																																													
+8	M103LH	STPc	V2	8.54e-05	16	Known																																																																													
+8	M103LH	PGa	V2	3.10e-04	58	Known																																																																													
+8	M103LH	IPa	V2	1.07e-04	20	NFP																																																																													
+8	M103LH	FST	V2	1.58e-03	296	Known																																																																													
+8	M103LH	MST	V2	2.46e-04	46	Known																																																																													
+8	M103LH	MT	V2	2.99e-02	5596	Known																																																																													
+8	M103LH	TEO	V2	1.09e-03	204	Known																																																																													
+8	M103LH	TEOm	V2	8.54e-04	160	Known																																																																													
+8	M103LH	PERI	V2	4.27e-04	80	NFP																																																																													
+8	M103LH	TEad	V2	4.27e-04	80	NFP																																																																													
+8	M103LH	TEav	V2	6.25e-04	117	NFP																																																																													
+8	M103LH	TEpd	V2	1.76e-03	329	NFP																																																																													
+8	M103LH	TEpv	V2	1.16e-03	217	Known																																																																													
+8	M103LH	TEa/ma	V2	1.55e-04	29	Known																																																																													
+8	M103LH	TEa/mp	V2	1.01e-04	19	Known																																																																													
+8	M103LH	TH/TF	V2	1.15e-03	215	Known																																																																													
+8	M103LH	MB	V2	1.60e-05	3	NFP																																																																													
+8	M103LH	PBc	V2	5.34e-06	1	NFP																																																																													
+8	M103LH	8l	V2	1.23e-04	23	NFP																																																																													
+9	M121RH	V1	V4	8.21e-03	1134	Known																																																																													
+9	M121RH	V2	V4	3.46e-01	47725	Known																																																																													
+9	M121RH	V3	V4	4.40e-02	6082	Known																																																																													
+9	M121RH	V3A	V4	7.24e-05	10	Known																																																																													
+9	M121RH	V4t	V4	8.39e-02	11588	Known																																																																													
+9	M121RH	7A	V4	1.67e-04	23	Known																																																																													
+9	M121RH	LIP	V4	3.70e-03	511	Known																																																																													
+9	M121RH	PIP	V4	4.42e-04	61	Known																																																																													
+9	M121RH	DP	V4	1.52e-04	21	Known																																																																													
+9	M121RH	STPr	V4	1.96e-04	27	NFP																																																																													
+9	M121RH	STPi	V4	7.97e-05	11	NFP																																																																													
+9	M121RH	STPc	V4	1.30e-04	18	NFP																																																																													
+9	M121RH	PGa	V4	4.71e-04	65	NFP																																																																													
+9	M121RH	IPa	V4	6.16e-04	85	NFP																																																																													
+9	M121RH	FST	V4	1.04e-02	1442	Known																																																																													
+9	M121RH	MST	V4	1.74e-04	24	NFP																																																																													
+9	M121RH	MT	V4	6.70e-02	9254	Known																																																																													
+9	M121RH	TEO	V4	2.37e-01	32701	Known																																																																													
+9	M121RH	TEOm	V4	2.22e-02	3062	Known																																																																													
+9	M121RH	PERI	V4	8.42e-03	1162	Known																																																																													
+9	M121RH	TEad	V4	2.52e-03	348	Known																																																																													
+9	M121RH	TEav	V4	1.24e-02	1711	Known																																																																													
+9	M121RH	TEpd	V4	7.42e-02	10249	Known																																																																													
+9	M121RH	TEpv	V4	1.72e-02	2380	Known																																																																													
+9	M121RH	TEa/ma	V4	7.10e-03	981	Known																																																																													
+9	M121RH	TEa/mp	V4	3.53e-02	4878	Known																																																																													
+9	M121RH	ENTO	V4	6.52e-05	9	NFP																																																																													
+9	M121RH	TH/TF	V4	1.51e-02	2083	Known																																																																													
+9	M121RH	INSULA	V4	8.69e-05	12	NFP																																																																													
+9	M121RH	9/46d	V4	7.24e-06	1	NFP																																																																													
+9	M121RH	8l	V4	2.85e-03	393	Known																																																																													
+9	M121RH	8r	V4	1.38e-04	19	Known																																																																													
+9	M121RH	45B	V4	2.90e-05	4	NFP																																																																													
+10	M123LH	V1	V4	1.79e-02	1673	Known																																																																													
+10	M123LH	V2	V4	4.36e-01	40739	Known																																																																													
+10	M123LH	V3	V4	1.49e-02	1392	Known																																																																													
+10	M123LH	V3A	V4	1.50e-04	14	Known																																																																													
+10	M123LH	V4t	V4	4.02e-03	376	Known																																																																													
+10	M123LH	7A	V4	4.28e-05	4	Known																																																																													
+10	M123LH	LIP	V4	1.63e-03	152	Known																																																																													
+10	M123LH	PIP	V4	8.55e-04	80	Known																																																																													
+10	M123LH	DP	V4	4.28e-05	4	Known																																																																													
+10	M123LH	STPr	V4	2.89e-04	27	NFP																																																																													
+10	M123LH	STPi	V4	3.85e-04	36	NFP																																																																													
+10	M123LH	STPc	V4	8.55e-05	8	NFP																																																																													
+10	M123LH	PGa	V4	7.70e-04	72	NFP																																																																													
+10	M123LH	IPa	V4	1.92e-03	180	NFP																																																																													
+10	M123LH	FST	V4	1.46e-02	1369	Known																																																																													
+10	M123LH	MST	V4	8.55e-05	8	NFP																																																																													
+10	M123LH	MT	V4	1.02e-01	9572	Known																																																																													
+10	M123LH	TEO	V4	2.39e-01	22341	Known																																																																													
+10	M123LH	TEOm	V4	1.04e-02	971	Known																																																																													
+10	M123LH	PERI	V4	6.62e-03	619	Known																																																																													
+10	M123LH	TEad	V4	3.75e-03	351	Known																																																																													
+10	M123LH	TEav	V4	2.74e-03	256	Known																																																																													
+10	M123LH	TEpd	V4	7.55e-02	7064	Known																																																																													
+10	M123LH	TEpv	V4	3.74e-02	3496	Known																																																																													
+10	M123LH	TEa/ma	V4	3.81e-03	356	Known																																																																													
+10	M123LH	TEa/mp	V4	9.58e-03	896	Known																																																																													
+10	M123LH	ENTO	V4	6.42e-05	6	NFP																																																																													
+10	M123LH	TH/TF	V4	1.34e-02	1252	Known																																																																													
+10	M123LH	LB	V4	2.14e-05	2	NFP																																																																													
+10	M123LH	INSULA	V4	5.35e-05	5	NFP																																																																													
+10	M123LH	9/46v	V4	3.21e-05	3	NFP																																																																													
+10	M123LH	8l	V4	1.99e-03	186	Known																																																																													
+10	M123LH	45B	V4	4.28e-05	4	NFP																																																																													
+11	M119LH	V2	TEO	2.43e-02	3782	Known																																																																													
+11	M119LH	V3	TEO	1.23e-01	19116	Known																																																																													
+11	M119LH	V3A	TEO	4.94e-04	77	Known																																																																													
+11	M119LH	V4	TEO	2.56e-01	39911	Known																																																																													
+11	M119LH	V4t	TEO	5.87e-03	915	Known																																																																													
+11	M119LH	7A	TEO	4.62e-04	72	Known																																																																													
+11	M119LH	7B	TEO	2.57e-05	4	Known																																																																													
+11	M119LH	LIP	TEO	7.90e-03	1232	Known																																																																													
+11	M119LH	MIP	TEO	1.92e-05	3	NFP																																																																													
+11	M119LH	PIP	TEO	1.71e-03	267	NFP																																																																													
+11	M119LH	DP	TEO	1.17e-03	182	Known																																																																													
+11	M119LH	5	TEO	2.57e-05	4	NFP																																																																													
+11	M119LH	7m	TEO	5.13e-05	8	NFP																																																																													
+11	M119LH	STPr	TEO	1.31e-03	205	Known																																																																													
+11	M119LH	STPi	TEO	1.28e-04	20	Known																																																																													
+11	M119LH	STPc	TEO	1.92e-05	3	Known																																																																													
+11	M119LH	PGa	TEO	4.55e-03	709	Known																																																																													
+11	M119LH	IPa	TEO	5.59e-03	871	Known																																																																													
+11	M119LH	FST	TEO	6.98e-02	10878	Known																																																																													
+11	M119LH	MST	TEO	5.84e-04	91	Known																																																																													
+11	M119LH	MT	TEO	2.44e-02	3805	Known																																																																													
+11	M119LH	TEOm	TEO	4.03e-02	6291	Known																																																																													
+11	M119LH	PERI	TEO	1.75e-02	2731	Known																																																																													
+11	M119LH	TEad	TEO	8.81e-03	1373	Known																																																																													
+11	M119LH	TEav	TEO	1.56e-02	2437	Known																																																																													
+11	M119LH	TEpd	TEO	2.31e-01	36077	Known																																																																													
+11	M119LH	TEpv	TEO	9.08e-02	14153	Known																																																																													
+11	M119LH	TEa/ma	TEO	1.57e-02	2441	Known																																																																													
+11	M119LH	TEa/mp	TEO	2.95e-02	4599	Known																																																																													
+11	M119LH	ENTO	TEO	2.57e-05	4	NFP																																																																													
+11	M119LH	TH/TF	TEO	1.46e-02	2276	Known																																																																													
+11	M119LH	POLE	TEO	2.89e-04	45	Known																																																																													
+11	M119LH	MB	TEO	3.85e-05	6	NFP																																																																													
+11	M119LH	LB	TEO	1.28e-05	2	NFP																																																																													
+11	M119LH	PBr	TEO	5.13e-05	8	NFP																																																																													
+11	M119LH	PBc	TEO	7.70e-05	12	NFP																																																																													
+11	M119LH	Parainsula	TEO	4.49e-05	7	NFP																																																																													
+11	M119LH	INSULA	TEO	1.28e-04	20	NFP																																																																													
+11	M119LH	1	TEO	2.57e-05	4	NFP																																																																													
+11	M119LH	2	TEO	3.85e-05	6	NFP																																																																													
+11	M119LH	3	TEO	1.22e-04	19	NFP																																																																													
+11	M119LH	23	TEO	1.28e-05	2	NFP																																																																													
+11	M119LH	24a	TEO	7.70e-05	12	NFP																																																																													
+11	M119LH	24b	TEO	3.85e-05	6	NFP																																																																													
+11	M119LH	24d	TEO	1.92e-05	3	NFP																																																																													
+11	M119LH	F2	TEO	6.41e-06	1	NFP																																																																													
+11	M119LH	F7	TEO	4.49e-05	7	NFP																																																																													
+11	M119LH	F5	TEO	3.85e-05	6	NFP																																																																													
+11	M119LH	ProM	TEO	1.28e-05	2	NFP																																																																													
+11	M119LH	46d	TEO	1.28e-05	2	NFP																																																																													
+11	M119LH	46v	TEO	3.85e-05	6	Known																																																																													
+11	M119LH	9/46d	TEO	2.57e-05	4	NFP																																																																													
+11	M119LH	9/46v	TEO	3.91e-04	61	Known																																																																													
+11	M119LH	8B	TEO	1.28e-05	2	Known																																																																													
+11	M119LH	8l	TEO	6.08e-03	948	Known																																																																													
+11	M119LH	8r	TEO	5.39e-04	84	Known																																																																													
+11	M119LH	45B	TEO	4.17e-04	65	Known																																																																													
+11	M119LH	45A	TEO	1.92e-05	3	Known																																																																													
+11	M119LH	44	TEO	1.28e-05	2	NFP																																																																													
+11	M119LH	11	TEO	1.28e-05	2	NFP																																																																													
+11	M119LH	12	TEO	2.37e-04	37	Known																																																																													
+12	M106LH	V2	9/46d	1.78e-03	458	Known																																																																													
+12	M106LH	V3	9/46d	4.66e-05	12	NFP																																																																													
+12	M106LH	V4	9/46d	8.55e-05	22	NFP																																																																													
+12	M106LH	Pro.St.	9/46d	2.10e-04	54	Known																																																																													
+12	M106LH	7op	9/46d	8.32e-04	214	Known																																																																													
+12	M106LH	7A	9/46d	7.31e-04	188	Known																																																																													
+12	M106LH	7B	9/46d	1.11e-03	286	Known																																																																													
+12	M106LH	LIP	9/46d	2.43e-03	626	Known																																																																													
+12	M106LH	VIP	9/46d	7.62e-04	196	NFP																																																																													
+12	M106LH	MIP	9/46d	1.63e-04	42	NFP																																																																													
+12	M106LH	PIP	9/46d	1.55e-05	4	NFP																																																																													
+12	M106LH	DP	9/46d	4.66e-05	12	NFP																																																																													
+12	M106LH	V6	9/46d	9.64e-04	248	NFP																																																																													
+12	M106LH	V6A	9/46d	1.93e-02	4960	NFP																																																																													
+12	M106LH	5	9/46d	9.72e-04	250	Known																																																																													
+12	M106LH	7m	9/46d	3.45e-02	8878	Known																																																																													
+12	M106LH	STPr	9/46d	1.52e-04	39	Known																																																																													
+12	M106LH	STPi	9/46d	6.50e-03	1672	Known																																																																													
+12	M106LH	STPc	9/46d	2.56e-02	6599	Known																																																																													
+12	M106LH	TPt	9/46d	8.39e-04	216	NFP																																																																													
+12	M106LH	PGa	9/46d	4.59e-04	118	NFP																																																																													
+12	M106LH	FST	9/46d	2.88e-04	74	NFP																																																																													
+12	M106LH	MST	9/46d	1.96e-03	504	NFP																																																																													
+12	M106LH	MT	9/46d	2.25e-04	58	NFP																																																																													
+12	M106LH	TEO	9/46d	7.77e-06	2	NFP																																																																													
+12	M106LH	PERI	9/46d	7.77e-06	2	NFP																																																																													
+12	M106LH	TEad	9/46d	1.55e-05	4	NFP																																																																													
+12	M106LH	TEav	9/46d	7.77e-06	2	NFP																																																																													
+12	M106LH	TEa/ma	9/46d	1.17e-05	3	NFP																																																																													
+12	M106LH	TEa/mp	9/46d	7.77e-06	2	NFP																																																																													
+12	M106LH	POLE	9/46d	1.17e-04	30	Known																																																																													
+12	M106LH	CORE	9/46d	1.55e-05	4	NFP																																																																													
+12	M106LH	MB	9/46d	2.25e-04	58	NFP																																																																													
+12	M106LH	LB	9/46d	7.00e-05	18	Known																																																																													
+12	M106LH	PBr	9/46d	5.36e-04	138	Known																																																																													
+12	M106LH	PBc	9/46d	2.02e-03	519	Known																																																																													
+12	M106LH	Parainsula	9/46d	1.32e-04	34	NFP																																																																													
+12	M106LH	INSULA	9/46d	1.97e-03	506	Known																																																																													
+12	M106LH	Gu	9/46d	2.33e-05	6	NFP																																																																													
+12	M106LH	SII	9/46d	1.05e-04	27	NFP																																																																													
+12	M106LH	2	9/46d	4.66e-05	12	Known																																																																													
+12	M106LH	23	9/46d	8.22e-03	2116	Known																																																																													
+12	M106LH	24a	9/46d	6.30e-04	162	Known																																																																													
+12	M106LH	24b	9/46d	5.17e-04	133	Known																																																																													
+12	M106LH	24c	9/46d	3.04e-03	782	Known																																																																													
+12	M106LH	24d	9/46d	5.52e-04	142	NFP																																																																													
+12	M106LH	29/30	9/46d	5.44e-03	1399	Known																																																																													
+12	M106LH	31	9/46d	2.73e-02	7026	Known																																																																													
+12	M106LH	32	9/46d	3.11e-05	8	Known																																																																													
+12	M106LH	F1	9/46d	5.44e-05	14	NFP																																																																													
+12	M106LH	F2	9/46d	2.23e-02	5736	Known																																																																													
+12	M106LH	F7	9/46d	5.54e-02	14244	Known																																																																													
+12	M106LH	F3	9/46d	3.58e-04	92	NFP																																																																													
+12	M106LH	F6	9/46d	9.66e-03	2485	Known																																																																													
+12	M106LH	F4	9/46d	8.89e-03	2287	NFP																																																																													
+12	M106LH	F5	9/46d	6.37e-04	164	Known																																																																													
+12	M106LH	ProM	9/46d	3.30e-04	85	Known																																																																													
+12	M106LH	10	9/46d	7.89e-03	2031	Known																																																																													
+12	M106LH	9	9/46d	2.44e-02	6267	Known																																																																													
+12	M106LH	46d	9/46d	1.96e-01	50412	Known																																																																													
+12	M106LH	46v	9/46d	9.69e-02	24941	Known																																																																													
+12	M106LH	9/46v	9/46d	1.68e-02	4328	Known																																																																													
+12	M106LH	8B	9/46d	7.10e-02	18269	Known																																																																													
+12	M106LH	8l	9/46d	1.47e-02	3781	NFP																																																																													
+12	M106LH	8m	9/46d	2.22e-01	57037	Known																																																																													
+12	M106LH	8r	9/46d	5.87e-02	15114	Known																																																																													
+12	M106LH	45B	9/46d	4.24e-03	1092	Known																																																																													
+12	M106LH	45A	9/46d	2.01e-02	5162	Known																																																																													
+12	M106LH	44	9/46d	9.49e-03	2441	NFP																																																																													
+12	M106LH	OPRO	9/46d	1.30e-03	334	NFP																																																																													
+12	M106LH	OPAI	9/46d	3.11e-05	8	NFP																																																																													
+12	M106LH	11	9/46d	2.57e-04	66	Known																																																																													
+12	M106LH	14	9/46d	5.44e-05	14	Known																																																																													
+12	M106LH	12	9/46d	7.20e-03	1852	Known																																																																													
+12	M106LH	13	9/46d	7.00e-04	180	Known																																																																													
+13	M106RH	V1	F5	5.37e-05	11	NFP																																																																													
+13	M106RH	V2	F5	3.41e-05	7	NFP																																																																													
+13	M106RH	V3	F5	4.88e-06	1	NFP																																																																													
+13	M106RH	7op	F5	3.41e-05	7	Known																																																																													
+13	M106RH	7A	F5	7.32e-05	15	Known																																																																													
+13	M106RH	7B	F5	7.72e-02	15826	Known																																																																													
+13	M106RH	LIP	F5	5.66e-03	1161	Known																																																																													
+13	M106RH	MIP	F5	4.88e-06	1	NFP																																																																													
+13	M106RH	AIP	F5	3.37e-03	690	Known																																																																													
+13	M106RH	V6	F5	9.76e-06	2	NFP																																																																													
+13	M106RH	V6A	F5	1.46e-05	3	NFP																																																																													
+13	M106RH	5	F5	9.76e-05	20	Known																																																																													
+13	M106RH	7m	F5	4.88e-06	1	NFP																																																																													
+13	M106RH	STPr	F5	3.90e-05	8	NFP																																																																													
+13	M106RH	STPi	F5	1.95e-05	4	NFP																																																																													
+13	M106RH	STPc	F5	4.88e-06	1	NFP																																																																													
+13	M106RH	TEOm	F5	1.46e-05	3	NFP																																																																													
+13	M106RH	PERI	F5	7.32e-05	15	NFP																																																																													
+13	M106RH	TEav	F5	1.17e-04	24	NFP																																																																													
+13	M106RH	TEpd	F5	3.90e-05	8	NFP																																																																													
+13	M106RH	TEpv	F5	9.76e-05	20	NFP																																																																													
+13	M106RH	TEa/ma	F5	6.83e-05	14	Known																																																																													
+13	M106RH	TEa/mp	F5	3.90e-05	8	NFP																																																																													
+13	M106RH	ENTO	F5	1.17e-04	24	NFP																																																																													
+13	M106RH	TH/TF	F5	9.76e-06	2	NFP																																																																													
+13	M106RH	SUB	F5	2.93e-05	6	NFP																																																																													
+13	M106RH	POLE	F5	4.88e-05	10	Known																																																																													
+13	M106RH	CORE	F5	5.37e-05	11	NFP																																																																													
+13	M106RH	MB	F5	3.90e-05	8	NFP																																																																													
+13	M106RH	LB	F5	4.88e-05	10	NFP																																																																													
+13	M106RH	PBr	F5	3.90e-05	8	NFP																																																																													
+13	M106RH	Parainsula	F5	2.44e-05	5	Known																																																																													
+13	M106RH	INSULA	F5	6.56e-03	1344	Known																																																																													
+13	M106RH	Gu	F5	1.04e-02	2129	Known																																																																													
+13	M106RH	SII	F5	5.88e-02	12064	Known																																																																													
+13	M106RH	1	F5	2.48e-03	508	Known																																																																													
+13	M106RH	2	F5	2.03e-01	41664	Known																																																																													
+13	M106RH	3	F5	1.05e-02	2149	Known																																																																													
+13	M106RH	23	F5	1.46e-04	30	NFP																																																																													
+13	M106RH	24a	F5	7.56e-04	155	Known																																																																													
+13	M106RH	24b	F5	1.32e-04	27	Known																																																																													
+13	M106RH	24c	F5	8.51e-03	1745	Known																																																																													
+13	M106RH	24d	F5	5.02e-04	103	Known																																																																													
+13	M106RH	29/30	F5	1.46e-05	3	NFP																																																																													
+13	M106RH	32	F5	3.90e-05	8	NFP																																																																													
+13	M106RH	F1	F5	4.30e-03	882	Known																																																																													
+13	M106RH	F2	F5	1.20e-03	247	Known																																																																													
+13	M106RH	F7	F5	3.90e-05	8	Known																																																																													
+13	M106RH	F3	F5	3.14e-02	6440	Known																																																																													
+13	M106RH	F6	F5	3.41e-05	7	Known																																																																													
+13	M106RH	F4	F5	5.00e-01	102471	Known																																																																													
+13	M106RH	ProM	F5	4.55e-02	9323	Known																																																																													
+13	M106RH	10	F5	9.27e-05	19	NFP																																																																													
+13	M106RH	9	F5	4.88e-05	10	NFP																																																																													
+13	M106RH	46d	F5	9.76e-05	20	Known																																																																													
+13	M106RH	46v	F5	1.12e-04	23	Known																																																																													
+13	M106RH	9/46d	F5	3.41e-05	7	Known																																																																													
+13	M106RH	9/46v	F5	2.84e-03	583	Known																																																																													
+13	M106RH	8B	F5	4.39e-05	9	Known																																																																													
+13	M106RH	8l	F5	8.83e-04	181	Known																																																																													
+13	M106RH	8m	F5	4.39e-05	9	Known																																																																													
+13	M106RH	8r	F5	2.59e-04	53	Known																																																																													
+13	M106RH	45B	F5	1.37e-04	28	Known																																																																													
+13	M106RH	45A	F5	2.93e-05	6	NFP																																																																													
+13	M106RH	44	F5	2.86e-03	586	Known																																																																													
+13	M106RH	OPRO	F5	7.96e-03	1631	NFP																																																																													
+13	M106RH	OPAI	F5	2.93e-04	60	NFP																																																																													
+13	M106RH	11	F5	1.51e-04	31	NFP																																																																													
+13	M106RH	14	F5	1.46e-05	3	NFP																																																																													
+13	M106RH	25	F5	4.88e-06	1	NFP																																																																													
+13	M106RH	12	F5	1.22e-02	2492	Known																																																																													
+13	M106RH	13	F5	1.17e-04	24	Known																																																																													
+14	BB272LH	V2	8m	1.23e-04	10	Known																																																																													
+14	BB272LH	V3	8m	4.91e-05	4	Known																																																																													
+14	BB272LH	V3A	8m	1.23e-05	1	Known																																																																													
+14	BB272LH	V4	8m	1.10e-04	9	Known																																																																													
+14	BB272LH	V4t	8m	1.47e-04	12	Known																																																																													
+14	BB272LH	7op	8m	5.76e-04	47	NFP																																																																													
+14	BB272LH	7A	8m	1.64e-03	134	Known																																																																													
+14	BB272LH	7B	8m	7.85e-04	64	Known																																																																													
+14	BB272LH	LIP	8m	6.28e-03	512	Known																																																																													
+14	BB272LH	VIP	8m	7.48e-04	61	Known																																																																													
+14	BB272LH	MIP	8m	1.23e-05	1	NFP																																																																													
+14	BB272LH	PIP	8m	3.68e-05	3	NFP																																																																													
+14	BB272LH	AIP	8m	9.20e-04	75	NFP																																																																													
+14	BB272LH	DP	8m	2.08e-04	17	Known																																																																													
+14	BB272LH	V6A	8m	5.89e-04	48	NFP																																																																													
+14	BB272LH	5	8m	8.58e-05	7	Known																																																																													
+14	BB272LH	7m	8m	5.15e-04	42	NFP																																																																													
+14	BB272LH	STPr	8m	1.47e-03	120	NFP																																																																													
+14	BB272LH	STPi	8m	1.44e-02	1171	Known																																																																													
+14	BB272LH	STPc	8m	3.40e-02	2774	Known																																																																													
+14	BB272LH	TPt	8m	8.58e-05	7	Known																																																																													
+14	BB272LH	PGa	8m	4.16e-03	339	Known																																																																													
+14	BB272LH	IPa	8m	9.81e-05	8	Known																																																																													
+14	BB272LH	FST	8m	2.78e-03	227	Known																																																																													
+14	BB272LH	MST	8m	2.10e-03	171	Known																																																																													
+14	BB272LH	MT	8m	6.87e-04	56	Known																																																																													
+14	BB272LH	TEOm	8m	2.45e-05	2	NFP																																																																													
+14	BB272LH	PERI	8m	2.45e-05	2	NFP																																																																													
+14	BB272LH	TEpd	8m	4.91e-05	4	Known																																																																													
+14	BB272LH	TEpv	8m	1.23e-05	1	Known																																																																													
+14	BB272LH	TEa/ma	8m	3.68e-05	3	NFP																																																																													
+14	BB272LH	TEa/mp	8m	1.35e-04	11	NFP																																																																													
+14	BB272LH	ENTO	8m	6.13e-05	5	NFP																																																																													
+14	BB272LH	TH/TF	8m	1.23e-05	1	Known																																																																													
+14	BB272LH	POLE	8m	1.47e-04	12	Known																																																																													
+14	BB272LH	CORE	8m	7.11e-04	58	Known																																																																													
+14	BB272LH	MB	8m	1.74e-03	142	Known																																																																													
+14	BB272LH	LB	8m	1.17e-03	95	Known																																																																													
+14	BB272LH	PBr	8m	1.19e-03	97	Known																																																																													
+14	BB272LH	PBc	8m	5.19e-03	423	Known																																																																													
+14	BB272LH	Parainsula	8m	1.47e-04	12	NFP																																																																													
+14	BB272LH	INSULA	8m	3.00e-03	245	Known																																																																													
+14	BB272LH	Gu	8m	9.81e-05	8	NFP																																																																													
+14	BB272LH	SII	8m	8.95e-04	73	NFP																																																																													
+14	BB272LH	2	8m	4.91e-05	4	NFP																																																																													
+14	BB272LH	3	8m	2.45e-05	2	Known																																																																													
+14	BB272LH	23	8m	2.58e-04	21	Known																																																																													
+14	BB272LH	24a	8m	7.11e-04	58	Known																																																																													
+14	BB272LH	24b	8m	1.02e-03	83	Known																																																																													
+14	BB272LH	24c	8m	2.39e-03	195	Known																																																																													
+14	BB272LH	24d	8m	3.68e-04	30	NFP																																																																													
+14	BB272LH	29/30	8m	1.23e-04	10	Known																																																																													
+14	BB272LH	31	8m	3.68e-05	3	Known																																																																													
+14	BB272LH	32	8m	2.94e-04	24	NFP																																																																													
+14	BB272LH	F1	8m	8.58e-04	70	NFP																																																																													
+14	BB272LH	F2	8m	2.16e-02	1760	Known																																																																													
+14	BB272LH	F7	8m	1.08e-01	8801	Known																																																																													
+14	BB272LH	F3	8m	2.33e-04	19	NFP																																																																													
+14	BB272LH	F6	8m	1.28e-03	104	Known																																																																													
+14	BB272LH	F4	8m	3.86e-02	3148	Known																																																																													
+14	BB272LH	F5	8m	7.03e-03	573	NFP																																																																													
+14	BB272LH	ProM	8m	5.76e-04	47	NFP																																																																													
+14	BB272LH	10	8m	2.11e-03	172	NFP																																																																													
+14	BB272LH	9	8m	2.16e-03	176	Known																																																																													
+14	BB272LH	46d	8m	1.12e-01	9125	Known																																																																													
+14	BB272LH	46v	8m	3.37e-02	2746	Known																																																																													
+14	BB272LH	9/46d	8m	3.78e-02	3083	Known																																																																													
+14	BB272LH	9/46v	8m	9.25e-02	7542	Known																																																																													
+14	BB272LH	8B	8m	1.71e-02	1393	Known																																																																													
+14	BB272LH	8l	8m	1.85e-01	15075	Known																																																																													
+14	BB272LH	8r	8m	7.09e-02	5783	Known																																																																													
+14	BB272LH	45B	8m	1.24e-01	10071	Known																																																																													
+14	BB272LH	45A	8m	2.63e-02	2141	Known																																																																													
+14	BB272LH	44	8m	1.58e-02	1286	NFP																																																																													
+14	BB272LH	OPRO	8m	2.21e-04	18	NFP																																																																													
+14	BB272LH	OPAI	8m	6.13e-05	5	NFP																																																																													
+14	BB272LH	11	8m	1.84e-04	15	NFP																																																																													
+14	BB272LH	14	8m	9.81e-05	8	NFP																																																																													
+14	BB272LH	12	8m	7.14e-03	582	Known																																																																													
+14	BB272LH	13	8m	3.13e-03	255	NFP																																																																													
+15	BB135LH	V1	7A	1.81e-05	2	NFP																																																																													
+15	BB135LH	V2	7A	3.61e-05	4	Known																																																																													
+15	BB135LH	V3A	7A	3.61e-05	4	NFP																																																																													
+15	BB135LH	V4	7A	3.01e-03	333	Known																																																																													
+15	BB135LH	7B	7A	5.51e-04	61	Known																																																																													
+15	BB135LH	LIP	7A	1.29e-01	14318	Known																																																																													
+15	BB135LH	VIP	7A	8.13e-05	9	Known																																																																													
+15	BB135LH	MIP	7A	3.61e-05	4	Known																																																																													
+15	BB135LH	PIP	7A	3.16e-04	35	Known																																																																													
+15	BB135LH	DP	7A	2.05e-02	2272	Known																																																																													
+15	BB135LH	V6	7A	1.26e-04	14	Known																																																																													
+15	BB135LH	V6A	7A	7.83e-02	8665	Known																																																																													
+15	BB135LH	5	7A	1.02e-02	1133	Known																																																																													
+15	BB135LH	7m	7A	2.11e-02	2334	Known																																																																													
+15	BB135LH	STPr	7A	2.79e-03	309	Known																																																																													
+15	BB135LH	STPi	7A	4.13e-02	4571	Known																																																																													
+15	BB135LH	STPc	7A	1.31e-02	1455	Known																																																																													
+15	BB135LH	TPt	7A	1.64e-01	18147	Known																																																																													
+15	BB135LH	PGa	7A	1.07e-02	1181	Known																																																																													
+15	BB135LH	IPa	7A	2.35e-03	260	Known																																																																													
+15	BB135LH	FST	7A	8.66e-03	959	Known																																																																													
+15	BB135LH	MST	7A	1.26e-01	13952	Known																																																																													
+15	BB135LH	MT	7A	5.42e-05	6	Known																																																																													
+15	BB135LH	TEO	7A	2.30e-03	255	Known																																																																													
+15	BB135LH	TEOm	7A	2.29e-03	254	Known																																																																													
+15	BB135LH	PERI	7A	3.88e-03	429	Known																																																																													
+15	BB135LH	TEav	7A	9.03e-05	10	NFP																																																																													
+15	BB135LH	TEpd	7A	2.72e-03	301	Known																																																																													
+15	BB135LH	TEpv	7A	7.74e-02	8563	Known																																																																													
+15	BB135LH	TEa/ma	7A	3.88e-04	43	Known																																																																													
+15	BB135LH	TEa/mp	7A	4.39e-03	486	Known																																																																													
+15	BB135LH	ENTO	7A	4.45e-03	493	Known																																																																													
+15	BB135LH	TH/TF	7A	8.31e-04	92	Known																																																																													
+15	BB135LH	POLE	7A	3.79e-04	42	Known																																																																													
+15	BB135LH	MB	7A	4.52e-05	5	NFP																																																																													
+15	BB135LH	LB	7A	1.81e-05	2	Known																																																																													
+15	BB135LH	INSULA	7A	1.27e-03	141	Known																																																																													
+15	BB135LH	2	7A	1.81e-05	2	Known																																																																													
+15	BB135LH	23	7A	9.21e-02	10197	Known																																																																													
+15	BB135LH	24a	7A	9.03e-05	10	Known																																																																													
+15	BB135LH	24b	7A	5.87e-03	650	Known																																																																													
+15	BB135LH	29/30	7A	3.64e-02	4030	Known																																																																													
+15	BB135LH	31	7A	7.33e-02	8118	Known																																																																													
+15	BB135LH	F1	7A	1.63e-04	18	NFP																																																																													
+15	BB135LH	F2	7A	7.49e-03	829	Known																																																																													
+15	BB135LH	F7	7A	9.03e-05	10	Known																																																																													
+15	BB135LH	F3	7A	4.97e-04	55	Known																																																																													
+15	BB135LH	F5	7A	1.31e-03	145	Known																																																																													
+15	BB135LH	9	7A	5.42e-05	6	Known																																																																													
+15	BB135LH	46d	7A	1.46e-02	1612	Known																																																																													
+15	BB135LH	46v	7A	1.45e-04	16	Known																																																																													
+15	BB135LH	9/46d	7A	2.27e-03	251	Known																																																																													
+15	BB135LH	9/46v	7A	3.80e-03	421	Known																																																																													
+15	BB135LH	8B	7A	7.52e-03	833	Known																																																																													
+15	BB135LH	8l	7A	3.61e-04	40	Known																																																																													
+15	BB135LH	8m	7A	1.94e-02	2144	Known																																																																													
+15	BB135LH	45B	7A	1.35e-04	15	Known																																																																													
+15	BB135LH	45A	7A	1.35e-03	149	Known																																																																													
+15	BB135LH	12	7A	6.32e-05	7	Known																																																																													
+15	BB135LH	13	7A	1.81e-05	2	Known																																																																													
+16	M89LH	V1	DP	1.19e-05	3	NFP																																																																													
+16	M89LH	V2	DP	7.94e-02	19967	Known																																																																													
+16	M89LH	V3	DP	5.04e-03	1269	Known																																																																													
+16	M89LH	V3A	DP	3.20e-02	8044	Known																																																																													
+16	M89LH	V4	DP	3.38e-01	84923	Known																																																																													
+16	M89LH	V4t	DP	7.91e-03	1989	NFP																																																																													
+16	M89LH	Pro.St.	DP	2.31e-04	58	NFP																																																																													
+16	M89LH	7A	DP	1.18e-01	29688	Known																																																																													
+16	M89LH	LIP	DP	2.02e-02	5083	Known																																																																													
+16	M89LH	VIP	DP	9.14e-04	230	Known																																																																													
+16	M89LH	MIP	DP	6.49e-03	1632	Known																																																																													
+16	M89LH	PIP	DP	3.71e-02	9335	Known																																																																													
+16	M89LH	V6	DP	2.02e-02	5083	Known																																																																													
+16	M89LH	V6A	DP	3.88e-02	9766	Known																																																																													
+16	M89LH	7m	DP	2.35e-04	59	Known																																																																													
+16	M89LH	STPr	DP	7.95e-06	2	NFP																																																																													
+16	M89LH	STPi	DP	4.77e-05	12	NFP																																																																													
+16	M89LH	STPc	DP	3.62e-04	91	NFP																																																																													
+16	M89LH	TPt	DP	9.54e-05	24	NFP																																																																													
+16	M89LH	PGa	DP	8.98e-04	226	NFP																																																																													
+16	M89LH	IPa	DP	7.79e-04	196	NFP																																																																													
+16	M89LH	FST	DP	1.04e-02	2609	NFP																																																																													
+16	M89LH	MST	DP	5.18e-02	13042	Known																																																																													
+16	M89LH	MT	DP	1.62e-01	40862	Known																																																																													
+16	M89LH	TEO	DP	3.38e-04	85	Known																																																																													
+16	M89LH	TEOm	DP	7.87e-03	1979	NFP																																																																													
+16	M89LH	PERI	DP	5.56e-05	14	NFP																																																																													
+16	M89LH	TEad	DP	3.18e-05	8	NFP																																																																													
+16	M89LH	TEav	DP	4.77e-05	12	NFP																																																																													
+16	M89LH	TEpd	DP	1.22e-03	306	Known																																																																													
+16	M89LH	TEpv	DP	2.70e-02	6782	Known																																																																													
+16	M89LH	TEa/ma	DP	3.70e-04	93	NFP																																																																													
+16	M89LH	TEa/mp	DP	2.15e-04	54	NFP																																																																													
+16	M89LH	ENTO	DP	4.61e-04	116	NFP																																																																													
+16	M89LH	TH/TF	DP	1.80e-02	4528	Known																																																																													
+16	M89LH	SUB	DP	7.95e-06	2	NFP																																																																													
+16	M89LH	PBc	DP	1.43e-04	36	NFP																																																																													
+16	M89LH	INSULA	DP	3.97e-06	1	NFP																																																																													
+16	M89LH	23	DP	2.02e-03	508	Known																																																																													
+16	M89LH	24b	DP	9.06e-04	228	NFP																																																																													
+16	M89LH	24c	DP	2.78e-05	7	NFP																																																																													
+16	M89LH	29/30	DP	3.97e-04	100	Known																																																																													
+16	M89LH	31	DP	2.15e-03	542	NFP																																																																													
+16	M89LH	F2	DP	1.54e-03	387	NFP																																																																													
+16	M89LH	F7	DP	5.68e-04	143	NFP																																																																													
+16	M89LH	F4	DP	1.59e-05	4	NFP																																																																													
+16	M89LH	F5	DP	1.59e-05	4	NFP																																																																													
+16	M89LH	9	DP	1.59e-05	4	Known																																																																													
+16	M89LH	46d	DP	7.55e-04	190	Known																																																																													
+16	M89LH	46v	DP	8.35e-05	21	NFP																																																																													
+16	M89LH	9/46d	DP	7.83e-04	197	NFP																																																																													
+16	M89LH	8B	DP	1.12e-03	283	Known																																																																													
+16	M89LH	8m	DP	1.90e-03	478	Known																																																																													
+16	M89LH	8r	DP	4.41e-04	111	Known																																																																													
+16	M89LH	45B	DP	6.76e-04	170	Known																																																																													
+16	M89LH	45A	DP	1.59e-05	4	NFP																																																																													
+16	M89LH	12	DP	3.97e-06	1	NFP																																																																													
+17	M98LH	7op	2	2.06e-03	363	Known																																																																													
+17	M98LH	7A	2	5.69e-06	1	Known																																																																													
+17	M98LH	7B	2	2.03e-03	357	Known																																																																													
+17	M98LH	LIP	2	1.57e-03	276	Known																																																																													
+17	M98LH	VIP	2	5.69e-06	1	Known																																																																													
+17	M98LH	AIP	2	2.44e-03	430	Known																																																																													
+17	M98LH	PERI	2	8.07e-04	142	NFP																																																																													
+17	M98LH	TEav	2	1.42e-04	25	NFP																																																																													
+17	M98LH	TEa/ma	2	6.82e-05	12	NFP																																																																													
+17	M98LH	ENTO	2	1.44e-03	253	NFP																																																																													
+17	M98LH	POLE	2	4.83e-04	85	NFP																																																																													
+17	M98LH	MB	2	9.10e-05	16	NFP																																																																													
+17	M98LH	LB	2	1.71e-05	3	NFP																																																																													
+17	M98LH	INSULA	2	3.00e-02	5272	Known																																																																													
+17	M98LH	Gu	2	7.76e-03	1365	NFP																																																																													
+17	M98LH	SII	2	3.80e-01	66797	Known																																																																													
+17	M98LH	1	2	9.26e-03	1628	Known																																																																													
+17	M98LH	3	2	2.40e-01	42204	Known																																																																													
+17	M98LH	24b	2	5.69e-05	10	Known																																																																													
+17	M98LH	24c	2	2.39e-04	42	NFP																																																																													
+17	M98LH	24d	2	7.96e-05	14	Known																																																																													
+17	M98LH	31	2	2.84e-05	5	NFP																																																																													
+17	M98LH	F1	2	4.32e-04	76	Known																																																																													
+17	M98LH	F3	2	5.74e-04	101	Known																																																																													
+17	M98LH	F4	2	1.11e-01	19484	Known																																																																													
+17	M98LH	F5	2	1.42e-01	25018	Known																																																																													
+17	M98LH	ProM	2	4.24e-02	7453	Known																																																																													
+17	M98LH	46d	2	1.14e-05	2	NFP																																																																													
+17	M98LH	9/46v	2	1.04e-02	1837	Known																																																																													
+17	M98LH	44	2	5.69e-04	100	Known																																																																													
+17	M98LH	OPRO	2	7.63e-03	1342	NFP																																																																													
+17	M98LH	OPAI	2	2.10e-04	37	NFP																																																																													
+17	M98LH	12	2	6.17e-03	1086	NFP																																																																													
+17	M98LH	13	2	1.76e-04	31	NFP																																																																													
+17	M98LH	PIRI	2	2.27e-05	4	NFP																																																																													
+18	M70LH	7op	5	1.02e-01	3235	Known																																																																													
+18	M70LH	7A	5	1.51e-01	4797	Known																																																																													
+18	M70LH	7B	5	1.14e-02	363	Known																																																																													
+18	M70LH	LIP	5	2.95e-03	94	Known																																																																													
+18	M70LH	VIP	5	1.68e-02	536	Known																																																																													
+18	M70LH	MIP	5	1.63e-03	52	Known																																																																													
+18	M70LH	AIP	5	1.00e-03	32	Known																																																																													
+18	M70LH	7m	5	1.82e-03	58	Known																																																																													
+18	M70LH	STPi	5	2.01e-03	64	NFP																																																																													
+18	M70LH	TPt	5	6.21e-03	198	NFP																																																																													
+18	M70LH	MST	5	3.14e-04	10	Known																																																																													
+18	M70LH	PERI	5	1.26e-04	4	NFP																																																																													
+18	M70LH	TEa/ma	5	2.51e-04	8	NFP																																																																													
+18	M70LH	ENTO	5	3.77e-04	12	NFP																																																																													
+18	M70LH	POLE	5	2.51e-04	8	NFP																																																																													
+18	M70LH	MB	5	3.77e-04	12	NFP																																																																													
+18	M70LH	INSULA	5	9.23e-03	294	Known																																																																													
+18	M70LH	1	5	2.51e-03	80	Known																																																																													
+18	M70LH	2	5	3.63e-02	1158	Known																																																																													
+18	M70LH	3	5	3.21e-02	1022	Known																																																																													
+18	M70LH	23	5	8.86e-02	2822	Known																																																																													
+18	M70LH	24a	5	6.28e-05	2	NFP																																																																													
+18	M70LH	24b	5	1.26e-02	400	Known																																																																													
+18	M70LH	24d	5	6.03e-03	192	Known																																																																													
+18	M70LH	29/30	5	2.95e-03	94	Known																																																																													
+18	M70LH	31	5	2.01e-03	64	Known																																																																													
+18	M70LH	F1	5	3.37e-01	10733	Known																																																																													
+18	M70LH	F2	5	1.18e-01	3746	Known																																																																													
+18	M70LH	F7	5	3.14e-04	10	Known																																																																													
+18	M70LH	F3	5	4.46e-02	1421	Known																																																																													
+18	M70LH	F6	5	3.52e-03	112	Known																																																																													
+18	M70LH	F5	5	6.84e-03	218	Known																																																																													
+18	M70LH	46d	5	1.88e-04	6	Known																																																																													
+18	M70LH	12	5	1.26e-04	4	NFP																																																																													
+19	M68LH	V2	7B	3.98e-05	3	NFP																																																																													
+19	M68LH	7op	7B	1.52e-01	11436	Known																																																																													
+19	M68LH	7A	7B	3.97e-01	29968	Known																																																																													
+19	M68LH	LIP	7B	5.78e-02	4358	Known																																																																													
+19	M68LH	VIP	7B	6.06e-02	4568	Known																																																																													
+19	M68LH	MIP	7B	7.14e-02	5386	Known																																																																													
+19	M68LH	AIP	7B	2.68e-02	2022	Known																																																																													
+19	M68LH	V6A	7B	1.38e-03	104	Known																																																																													
+19	M68LH	5	7B	2.18e-02	1644	Known																																																																													
+19	M68LH	7m	7B	1.86e-02	1405	Known																																																																													
+19	M68LH	STPr	7B	1.59e-04	12	Known																																																																													
+19	M68LH	STPi	7B	7.95e-05	6	Known																																																																													
+19	M68LH	STPc	7B	9.89e-03	746	Known																																																																													
+19	M68LH	TPt	7B	1.28e-02	966	Known																																																																													
+19	M68LH	PGa	7B	5.44e-04	41	NFP																																																																													
+19	M68LH	MST	7B	1.30e-02	978	Known																																																																													
+19	M68LH	MT	7B	1.70e-03	128	Known																																																																													
+19	M68LH	PERI	7B	7.95e-05	6	NFP																																																																													
+19	M68LH	TEpv	7B	5.30e-05	4	NFP																																																																													
+19	M68LH	TEa/ma	7B	3.05e-04	23	Known																																																																													
+19	M68LH	TH/TF	7B	1.59e-04	12	NFP																																																																													
+19	M68LH	MB	7B	5.04e-04	38	Known																																																																													
+19	M68LH	LB	7B	1.44e-03	109	NFP																																																																													
+19	M68LH	PBc	7B	5.30e-05	4	NFP																																																																													
+19	M68LH	INSULA	7B	1.46e-02	1099	Known																																																																													
+19	M68LH	SII	7B	5.32e-02	4011	Known																																																																													
+19	M68LH	2	7B	3.08e-03	232	Known																																																																													
+19	M68LH	23	7B	5.46e-03	412	Known																																																																													
+19	M68LH	24b	7B	1.91e-03	144	Known																																																																													
+19	M68LH	24c	7B	3.98e-05	3	Known																																																																													
+19	M68LH	24d	7B	1.67e-03	126	Known																																																																													
+19	M68LH	F1	7B	9.41e-04	71	Known																																																																													
+19	M68LH	F2	7B	2.93e-03	221	Known																																																																													
+19	M68LH	F3	7B	1.17e-03	88	Known																																																																													
+19	M68LH	F4	7B	1.19e-02	899	Known																																																																													
+19	M68LH	F5	7B	3.66e-02	2763	Known																																																																													
+19	M68LH	ProM	7B	6.63e-04	50	Known																																																																													
+19	M68LH	46v	7B	6.76e-04	51	Known																																																																													
+19	M68LH	9/46d	7B	2.52e-04	19	Known																																																																													
+19	M68LH	9/46v	7B	1.27e-02	958	Known																																																																													
+19	M68LH	8m	7B	1.86e-04	14	Known																																																																													
+19	M68LH	45B	7B	3.45e-04	26	Known																																																																													
+19	M68LH	44	7B	2.72e-03	205	Known																																																																													
+19	M68LH	12	7B	1.01e-03	76	Known																																																																													
+20	BB289RH	V2	STPr	5.28e-06	4	NFP																																																																													
+20	BB289RH	V4	STPr	2.64e-06	2	NFP																																																																													
+20	BB289RH	Pro.St.	STPr	9.64e-05	73	NFP																																																																													
+20	BB289RH	7A	STPr	1.88e-04	142	Known																																																																													
+20	BB289RH	LIP	STPr	1.20e-04	91	NFP																																																																													
+20	BB289RH	DP	STPr	3.70e-05	28	NFP																																																																													
+20	BB289RH	STPi	STPr	2.33e-01	176360	Known																																																																													
+20	BB289RH	STPc	STPr	2.93e-02	22189	Known																																																																													
+20	BB289RH	TPt	STPr	1.32e-05	10	Known																																																																													
+20	BB289RH	PGa	STPr	3.33e-02	25236	Known																																																																													
+20	BB289RH	IPa	STPr	2.09e-02	15848	Known																																																																													
+20	BB289RH	FST	STPr	2.26e-03	1714	Known																																																																													
+20	BB289RH	MST	STPr	1.83e-02	13860	Known																																																																													
+20	BB289RH	MT	STPr	1.32e-05	10	Known																																																																													
+20	BB289RH	TEO	STPr	5.28e-06	4	NFP																																																																													
+20	BB289RH	TEOm	STPr	2.06e-04	156	NFP																																																																													
+20	BB289RH	PERI	STPr	9.93e-03	7516	Known																																																																													
+20	BB289RH	TEad	STPr	6.44e-04	488	Known																																																																													
+20	BB289RH	TEav	STPr	1.37e-02	10376	NFP																																																																													
+20	BB289RH	TEpd	STPr	9.27e-04	702	NFP																																																																													
+20	BB289RH	TEpv	STPr	1.61e-03	1218	Known																																																																													
+20	BB289RH	TEa/ma	STPr	4.48e-02	33936	Known																																																																													
+20	BB289RH	TEa/mp	STPr	3.94e-03	2982	NFP																																																																													
+20	BB289RH	ENTO	STPr	3.86e-03	2920	Known																																																																													
+20	BB289RH	TH/TF	STPr	1.50e-02	11343	Known																																																																													
+20	BB289RH	SUB	STPr	9.83e-04	744	NFP																																																																													
+20	BB289RH	POLE	STPr	2.22e-01	168340	Known																																																																													
+20	BB289RH	CORE	STPr	9.61e-04	728	NFP																																																																													
+20	BB289RH	MB	STPr	1.63e-02	12348	Known																																																																													
+20	BB289RH	LB	STPr	7.07e-03	5354	Known																																																																													
+20	BB289RH	PBr	STPr	1.94e-01	147032	Known																																																																													
+20	BB289RH	PBc	STPr	8.54e-03	6464	Known																																																																													
+20	BB289RH	Parainsula	STPr	5.27e-03	3994	Known																																																																													
+20	BB289RH	INSULA	STPr	9.51e-04	720	NFP																																																																													
+20	BB289RH	Gu	STPr	5.28e-06	4	NFP																																																																													
+20	BB289RH	23	STPr	5.48e-04	415	Known																																																																													
+20	BB289RH	24a	STPr	8.45e-04	640	NFP																																																																													
+20	BB289RH	24b	STPr	1.29e-03	978	NFP																																																																													
+20	BB289RH	24c	STPr	2.64e-04	200	NFP																																																																													
+20	BB289RH	29/30	STPr	1.91e-04	145	Known																																																																													
+20	BB289RH	32	STPr	1.56e-03	1184	Known																																																																													
+20	BB289RH	F1	STPr	1.06e-05	8	NFP																																																																													
+20	BB289RH	F2	STPr	1.58e-05	12	NFP																																																																													
+20	BB289RH	F7	STPr	5.02e-05	38	NFP																																																																													
+20	BB289RH	F4	STPr	5.28e-06	4	NFP																																																																													
+20	BB289RH	10	STPr	3.23e-02	24421	Known																																																																													
+20	BB289RH	9	STPr	1.66e-03	1255	Known																																																																													
+20	BB289RH	46d	STPr	9.75e-03	7382	Known																																																																													
+20	BB289RH	46v	STPr	8.70e-03	6590	Known																																																																													
+20	BB289RH	9/46d	STPr	9.91e-05	75	Known																																																																													
+20	BB289RH	9/46v	STPr	5.22e-04	395	Known																																																																													
+20	BB289RH	8B	STPr	5.81e-04	440	NFP																																																																													
+20	BB289RH	8l	STPr	4.75e-05	36	NFP																																																																													
+20	BB289RH	8m	STPr	3.43e-04	260	NFP																																																																													
+20	BB289RH	8r	STPr	5.81e-05	44	NFP																																																																													
+20	BB289RH	45B	STPr	7.82e-04	592	Known																																																																													
+20	BB289RH	45A	STPr	2.11e-03	1600	Known																																																																													
+20	BB289RH	44	STPr	1.11e-04	84	NFP																																																																													
+20	BB289RH	OPRO	STPr	6.40e-03	4844	NFP																																																																													
+20	BB289RH	OPAI	STPr	2.98e-04	226	NFP																																																																													
+20	BB289RH	11	STPr	4.53e-03	3428	Known																																																																													
+20	BB289RH	14	STPr	1.26e-02	9577	Known																																																																													
+20	BB289RH	25	STPr	6.88e-03	5212	Known																																																																													
+20	BB289RH	12	STPr	1.70e-02	12885	Known																																																																													
+20	BB289RH	13	STPr	1.61e-03	1220	Known																																																																													
+20	BB289RH	PIRI	STPr	7.40e-05	56	NFP																																																																													
+21	BB289LH	V4t	STPi	3.22e-05	3	NFP																																																																													
+21	BB289LH	Pro.St.	STPi	7.52e-05	7	Known																																																																													
+21	BB289LH	LIP	STPi	4.30e-05	4	Known																																																																													
+21	BB289LH	STPr	STPi	2.21e-02	2054	Known																																																																													
+21	BB289LH	STPc	STPi	2.39e-01	22266	Known																																																																													
+21	BB289LH	TPt	STPi	8.60e-05	8	Known																																																																													
+21	BB289LH	PGa	STPi	4.30e-03	400	Known																																																																													
+21	BB289LH	IPa	STPi	1.16e-03	108	NFP																																																																													
+21	BB289LH	MST	STPi	7.11e-02	6616	Known																																																																													
+21	BB289LH	MT	STPi	4.30e-05	4	Known																																																																													
+21	BB289LH	PERI	STPi	8.60e-05	8	Known																																																																													
+21	BB289LH	TEav	STPi	1.72e-04	16	Known																																																																													
+21	BB289LH	TEpd	STPi	1.50e-04	14	NFP																																																																													
+21	BB289LH	TEa/ma	STPi	8.60e-05	8	NFP																																																																													
+21	BB289LH	TEa/mp	STPi	4.08e-04	38	NFP																																																																													
+21	BB289LH	TH/TF	STPi	6.45e-04	60	Known																																																																													
+21	BB289LH	POLE	STPi	1.30e-01	12098	Known																																																																													
+21	BB289LH	CORE	STPi	1.90e-02	1768	Known																																																																													
+21	BB289LH	MB	STPi	1.16e-02	1084	Known																																																																													
+21	BB289LH	LB	STPi	7.28e-02	6776	Known																																																																													
+21	BB289LH	PBr	STPi	3.15e-01	29306	Known																																																																													
+21	BB289LH	PBc	STPi	5.44e-02	5062	Known																																																																													
+21	BB289LH	Parainsula	STPi	8.81e-04	82	Known																																																																													
+21	BB289LH	INSULA	STPi	6.23e-04	58	NFP																																																																													
+21	BB289LH	Gu	STPi	4.30e-05	4	NFP																																																																													
+21	BB289LH	23	STPi	4.62e-04	43	Known																																																																													
+21	BB289LH	24c	STPi	1.40e-04	13	Known																																																																													
+21	BB289LH	24d	STPi	4.30e-05	4	NFP																																																																													
+21	BB289LH	29/30	STPi	4.30e-05	4	Known																																																																													
+21	BB289LH	32	STPi	3.44e-04	32	Known																																																																													
+21	BB289LH	F7	STPi	8.60e-05	8	NFP																																																																													
+21	BB289LH	F6	STPi	8.60e-05	8	NFP																																																																													
+21	BB289LH	10	STPi	2.40e-02	2233	Known																																																																													
+21	BB289LH	9	STPi	4.73e-04	44	Known																																																																													
+21	BB289LH	46d	STPi	3.62e-03	337	Known																																																																													
+21	BB289LH	46v	STPi	2.47e-03	230	Known																																																																													
+21	BB289LH	9/46d	STPi	2.04e-04	19	Known																																																																													
+21	BB289LH	8B	STPi	2.15e-04	20	NFP																																																																													
+21	BB289LH	8m	STPi	4.30e-05	4	Known																																																																													
+21	BB289LH	45A	STPi	3.87e-04	36	NFP																																																																													
+21	BB289LH	OPRO	STPi	4.30e-04	40	NFP																																																																													
+21	BB289LH	11	STPi	3.22e-04	30	NFP																																																																													
+21	BB289LH	14	STPi	1.36e-02	1264	Known																																																																													
+21	BB289LH	25	STPi	2.71e-03	252	Known																																																																													
+21	BB289LH	12	STPi	6.07e-03	565	Known																																																																													
+21	BB289LH	13	STPi	2.15e-04	20	Known																																																																													
+22	M90RH	V2	STPc	3.88e-04	112	Known																																																																													
+22	M90RH	V3A	STPc	2.77e-05	8	NFP																																																																													
+22	M90RH	V4	STPc	1.36e-03	392	Known																																																																													
+22	M90RH	Pro.St.	STPc	1.94e-04	56	Known																																																																													
+22	M90RH	7op	STPc	8.03e-04	232	Known																																																																													
+22	M90RH	7A	STPc	1.41e-03	408	Known																																																																													
+22	M90RH	7B	STPc	2.21e-04	64	Known																																																																													
+22	M90RH	LIP	STPc	2.79e-02	8072	Known																																																																													
+22	M90RH	VIP	STPc	5.54e-05	16	NFP																																																																													
+22	M90RH	PIP	STPc	4.79e-03	1384	Known																																																																													
+22	M90RH	DP	STPc	1.94e-04	56	NFP																																																																													
+22	M90RH	V6A	STPc	1.38e-05	4	NFP																																																																													
+22	M90RH	5	STPc	2.77e-05	8	Known																																																																													
+22	M90RH	7m	STPc	4.15e-05	12	Known																																																																													
+22	M90RH	STPr	STPc	1.47e-02	4240	Known																																																																													
+22	M90RH	STPi	STPc	4.19e-01	121034	Known																																																																													
+22	M90RH	TPt	STPc	4.48e-02	12956	Known																																																																													
+22	M90RH	PGa	STPc	1.17e-02	3382	Known																																																																													
+22	M90RH	IPa	STPc	6.04e-03	1744	Known																																																																													
+22	M90RH	FST	STPc	6.09e-03	1760	Known																																																																													
+22	M90RH	MST	STPc	1.81e-01	52360	Known																																																																													
+22	M90RH	MT	STPc	7.20e-04	208	Known																																																																													
+22	M90RH	TEO	STPc	1.66e-04	48	NFP																																																																													
+22	M90RH	TEOm	STPc	3.05e-04	88	NFP																																																																													
+22	M90RH	PERI	STPc	6.51e-04	188	Known																																																																													
+22	M90RH	TEad	STPc	7.47e-04	216	NFP																																																																													
+22	M90RH	TEav	STPc	3.88e-04	112	Known																																																																													
+22	M90RH	TEpd	STPc	7.89e-04	228	NFP																																																																													
+22	M90RH	TEpv	STPc	1.40e-03	404	NFP																																																																													
+22	M90RH	TEa/ma	STPc	5.12e-04	148	NFP																																																																													
+22	M90RH	TEa/mp	STPc	3.74e-04	108	NFP																																																																													
+22	M90RH	ENTO	STPc	5.81e-04	168	NFP																																																																													
+22	M90RH	TH/TF	STPc	9.14e-03	2640	Known																																																																													
+22	M90RH	SUB	STPc	3.53e-04	102	NFP																																																																													
+22	M90RH	POLE	STPc	3.77e-03	1088	Known																																																																													
+22	M90RH	CORE	STPc	1.30e-02	3768	NFP																																																																													
+22	M90RH	MB	STPc	2.38e-02	6870	Known																																																																													
+22	M90RH	LB	STPc	5.58e-02	16124	NFP																																																																													
+22	M90RH	PBr	STPc	1.99e-02	5736	Known																																																																													
+22	M90RH	PBc	STPc	9.00e-02	26006	Known																																																																													
+22	M90RH	Parainsula	STPc	2.15e-04	62	NFP																																																																													
+22	M90RH	INSULA	STPc	1.96e-02	5678	Known																																																																													
+22	M90RH	2	STPc	6.92e-05	20	NFP																																																																													
+22	M90RH	23	STPc	3.09e-03	892	Known																																																																													
+22	M90RH	24b	STPc	4.57e-04	132	NFP																																																																													
+22	M90RH	24c	STPc	1.38e-05	4	NFP																																																																													
+22	M90RH	29/30	STPc	3.32e-04	96	Known																																																																													
+22	M90RH	31	STPc	1.74e-03	504	Known																																																																													
+22	M90RH	F7	STPc	7.47e-04	216	NFP																																																																													
+22	M90RH	F6	STPc	1.38e-05	4	NFP																																																																													
+22	M90RH	F5	STPc	1.01e-03	292	NFP																																																																													
+22	M90RH	10	STPc	1.43e-03	412	NFP																																																																													
+22	M90RH	9	STPc	2.77e-05	8	NFP																																																																													
+22	M90RH	46d	STPc	6.87e-03	1984	Known																																																																													
+22	M90RH	46v	STPc	2.99e-03	864	Known																																																																													
+22	M90RH	9/46d	STPc	2.24e-03	648	Known																																																																													
+22	M90RH	8B	STPc	8.03e-04	232	Known																																																																													
+22	M90RH	8l	STPc	4.84e-04	140	Known																																																																													
+22	M90RH	8m	STPc	6.88e-03	1988	Known																																																																													
+22	M90RH	8r	STPc	6.78e-04	196	Known																																																																													
+22	M90RH	45B	STPc	7.47e-04	216	Known																																																																													
+22	M90RH	45A	STPc	1.38e-05	4	Known																																																																													
+22	M90RH	12	STPc	4.08e-03	1180	Known																																																																													
+22	M90RH	13	STPc	2.22e-03	642	NFP																																																																													
+23	M108LH	V2	PBr	1.12e-05	4	NFP																																																																													
+23	M108LH	V4	PBr	2.24e-05	8	NFP																																																																													
+23	M108LH	Pro.St.	PBr	6.21e-03	2219	NFP																																																																													
+23	M108LH	7A	PBr	2.24e-05	8	NFP																																																																													
+23	M108LH	LIP	PBr	8.39e-06	3	NFP																																																																													
+23	M108LH	DP	PBr	5.59e-05	20	NFP																																																																													
+23	M108LH	7m	PBr	2.13e-04	76	NFP																																																																													
+23	M108LH	STPr	PBr	6.96e-02	24873	Known																																																																													
+23	M108LH	STPi	PBr	2.89e-01	103294	Known																																																																													
+23	M108LH	STPc	PBr	6.18e-02	22105	Known																																																																													
+23	M108LH	TPt	PBr	7.38e-04	264	Known																																																																													
+23	M108LH	PGa	PBr	2.42e-03	866	Known																																																																													
+23	M108LH	IPa	PBr	6.43e-05	23	Known																																																																													
+23	M108LH	FST	PBr	1.01e-04	36	Known																																																																													
+23	M108LH	MST	PBr	1.09e-04	39	NFP																																																																													
+23	M108LH	PERI	PBr	1.18e-03	423	Known																																																																													
+23	M108LH	ENTO	PBr	7.84e-03	2803	NFP																																																																													
+23	M108LH	TH/TF	PBr	2.49e-02	8918	Known																																																																													
+23	M108LH	SUB	PBr	2.80e-05	10	NFP																																																																													
+23	M108LH	POLE	PBr	1.40e-01	49969	Known																																																																													
+23	M108LH	CORE	PBr	8.21e-02	29350	Known																																																																													
+23	M108LH	MB	PBr	9.18e-02	32822	Known																																																																													
+23	M108LH	LB	PBr	4.88e-02	17456	Known																																																																													
+23	M108LH	PBc	PBr	9.70e-02	34695	Known																																																																													
+23	M108LH	Parainsula	PBr	7.58e-03	2709	Known																																																																													
+23	M108LH	INSULA	PBr	1.31e-03	467	Known																																																																													
+23	M108LH	23	PBr	1.26e-02	4490	Known																																																																													
+23	M108LH	24a	PBr	1.23e-03	440	NFP																																																																													
+23	M108LH	24b	PBr	1.03e-03	367	Known																																																																													
+23	M108LH	24c	PBr	1.09e-04	39	Known																																																																													
+23	M108LH	24d	PBr	2.24e-05	8	NFP																																																																													
+23	M108LH	29/30	PBr	7.86e-03	2812	NFP																																																																													
+23	M108LH	31	PBr	1.79e-03	639	NFP																																																																													
+23	M108LH	32	PBr	2.60e-03	931	Known																																																																													
+23	M108LH	F7	PBr	1.31e-04	47	Known																																																																													
+23	M108LH	F6	PBr	2.24e-05	8	NFP																																																																													
+23	M108LH	ProM	PBr	8.39e-06	3	NFP																																																																													
+23	M108LH	10	PBr	8.73e-03	3121	Known																																																																													
+23	M108LH	9	PBr	1.23e-03	440	Known																																																																													
+23	M108LH	46d	PBr	4.12e-03	1474	Known																																																																													
+23	M108LH	46v	PBr	8.53e-04	305	Known																																																																													
+23	M108LH	9/46d	PBr	4.07e-03	1456	Known																																																																													
+23	M108LH	8B	PBr	8.98e-04	321	NFP																																																																													
+23	M108LH	8l	PBr	2.80e-06	1	NFP																																																																													
+23	M108LH	8m	PBr	4.36e-04	156	Known																																																																													
+23	M108LH	8r	PBr	5.59e-06	2	NFP																																																																													
+23	M108LH	45B	PBr	5.03e-05	18	NFP																																																																													
+23	M108LH	45A	PBr	3.69e-04	132	Known																																																																													
+23	M108LH	OPRO	PBr	3.83e-03	1369	Known																																																																													
+23	M108LH	OPAI	PBr	2.50e-03	893	Known																																																																													
+23	M108LH	11	PBr	6.82e-04	244	Known																																																																													
+23	M108LH	14	PBr	1.34e-04	48	Known																																																																													
+23	M108LH	25	PBr	1.09e-03	389	Known																																																																													
+23	M108LH	12	PBr	7.80e-03	2788	Known																																																																													
+23	M108LH	13	PBr	2.98e-03	1067	Known																																																																													
+23	M108LH	PIRI	PBr	2.85e-04	102	NFP																																																																													
+24	M128RH	V2	TEpd	1.75e-04	70	Known																																																																													
+24	M128RH	V3	TEpd	1.90e-04	76	NFP																																																																													
+24	M128RH	V3A	TEpd	3.51e-04	140	NFP																																																																													
+24	M128RH	V4	TEpd	2.74e-02	10928	Known																																																																													
+24	M128RH	V4t	TEpd	5.76e-05	23	Known																																																																													
+24	M128RH	Pro.St.	TEpd	5.01e-05	20	NFP																																																																													
+24	M128RH	7A	TEpd	2.02e-03	806	Known																																																																													
+24	M128RH	LIP	TEpd	2.83e-03	1128	Known																																																																													
+24	M128RH	PIP	TEpd	1.10e-04	44	NFP																																																																													
+24	M128RH	DP	TEpd	8.02e-05	32	NFP																																																																													
+24	M128RH	STPr	TEpd	4.29e-04	171	Known																																																																													
+24	M128RH	STPi	TEpd	2.51e-05	10	NFP																																																																													
+24	M128RH	STPc	TEpd	5.01e-06	2	NFP																																																																													
+24	M128RH	PGa	TEpd	4.44e-04	177	Known																																																																													
+24	M128RH	IPa	TEpd	6.35e-03	2532	Known																																																																													
+24	M128RH	FST	TEpd	1.05e-03	417	Known																																																																													
+24	M128RH	MST	TEpd	1.00e-05	4	Known																																																																													
+24	M128RH	MT	TEpd	1.50e-05	6	Known																																																																													
+24	M128RH	TEO	TEpd	1.38e-01	54911	Known																																																																													
+24	M128RH	TEOm	TEpd	1.74e-02	6952	Known																																																																													
+24	M128RH	PERI	TEpd	3.51e-02	13992	Known																																																																													
+24	M128RH	TEad	TEpd	2.69e-01	107159	Known																																																																													
+24	M128RH	TEav	TEpd	1.15e-01	45866	Known																																																																													
+24	M128RH	TEpv	TEpd	3.90e-02	15545	Known																																																																													
+24	M128RH	TEa/ma	TEpd	6.52e-02	25999	Known																																																																													
+24	M128RH	TEa/mp	TEpd	2.44e-01	97279	Known																																																																													
+24	M128RH	ENTO	TEpd	3.43e-04	137	Known																																																																													
+24	M128RH	TH/TF	TEpd	1.62e-02	6460	Known																																																																													
+24	M128RH	POLE	TEpd	1.17e-03	467	Known																																																																													
+24	M128RH	CORE	TEpd	7.52e-06	3	NFP																																																																													
+24	M128RH	MB	TEpd	5.01e-06	2	NFP																																																																													
+24	M128RH	LB	TEpd	1.50e-05	6	NFP																																																																													
+24	M128RH	PBr	TEpd	6.01e-05	24	NFP																																																																													
+24	M128RH	Parainsula	TEpd	5.01e-06	2	NFP																																																																													
+24	M128RH	INSULA	TEpd	7.77e-05	31	NFP																																																																													
+24	M128RH	SII	TEpd	4.94e-04	197	NFP																																																																													
+24	M128RH	3	TEpd	5.01e-06	2	NFP																																																																													
+24	M128RH	23	TEpd	7.52e-06	3	NFP																																																																													
+24	M128RH	24a	TEpd	2.71e-04	108	NFP																																																																													
+24	M128RH	24b	TEpd	3.51e-05	14	NFP																																																																													
+24	M128RH	F6	TEpd	1.50e-05	6	NFP																																																																													
+24	M128RH	F5	TEpd	7.52e-06	3	NFP																																																																													
+24	M128RH	46d	TEpd	1.50e-05	6	Known																																																																													
+24	M128RH	46v	TEpd	4.09e-04	163	Known																																																																													
+24	M128RH	9/46v	TEpd	1.42e-03	566	Known																																																																													
+24	M128RH	8l	TEpd	4.59e-03	1833	Known																																																																													
+24	M128RH	8m	TEpd	2.51e-05	10	Known																																																																													
+24	M128RH	8r	TEpd	1.92e-03	766	Known																																																																													
+24	M128RH	45B	TEpd	6.49e-03	2588	Known																																																																													
+24	M128RH	45A	TEpd	9.42e-04	376	Known																																																																													
+24	M128RH	44	TEpd	2.76e-05	11	Known																																																																													
+24	M128RH	OPRO	TEpd	8.02e-05	32	Known																																																																													
+24	M128RH	OPAI	TEpd	1.00e-05	4	Known																																																																													
+24	M128RH	11	TEpd	3.51e-05	14	NFP																																																																													
+24	M128RH	12	TEpd	1.82e-03	727	Known																																																																													
+24	M128RH	13	TEpd	3.41e-04	136	Known																																																																													
+24	M128RH	PIRI	TEpd	8.02e-05	32	NFP																																																																													
+25	NICO	7op	24c	3.49e-03	252	Known																																																																													
+25	NICO	7A	24c	7.96e-03	575	Known																																																																													
+25	NICO	7B	24c	4.32e-03	312	Known																																																																													
+25	NICO	LIP	24c	2.22e-04	16	NFP																																																																													
+25	NICO	VIP	24c	1.38e-04	10	Known																																																																													
+25	NICO	MIP	24c	8.24e-03	595	NFP																																																																													
+25	NICO	V6	24c	1.38e-04	10	NFP																																																																													
+25	NICO	V6A	24c	8.06e-03	582	NFP																																																																													
+25	NICO	5	24c	2.56e-02	1847	Known																																																																													
+25	NICO	7m	24c	1.95e-02	1410	Known																																																																													
+25	NICO	STPr	24c	2.77e-05	2	Known																																																																													
+25	NICO	STPi	24c	4.15e-05	3	Known																																																																													
+25	NICO	STPc	24c	1.52e-04	11	Known																																																																													
+25	NICO	IPa	24c	2.77e-05	2	Known																																																																													
+25	NICO	MST	24c	1.66e-04	12	Known																																																																													
+25	NICO	TEpv	24c	2.77e-05	2	NFP																																																																													
+25	NICO	CORE	24c	2.77e-05	2	NFP																																																																													
+25	NICO	LB	24c	2.77e-05	2	NFP																																																																													
+25	NICO	INSULA	24c	1.75e-02	1263	Known																																																																													
+25	NICO	SII	24c	2.80e-03	202	Known																																																																													
+25	NICO	1	24c	2.77e-05	2	Known																																																																													
+25	NICO	2	24c	2.24e-03	162	Known																																																																													
+25	NICO	3	24c	5.26e-04	38	Known																																																																													
+25	NICO	23	24c	2.40e-02	1733	Known																																																																													
+25	NICO	24a	24c	4.36e-03	315	Known																																																																													
+25	NICO	24b	24c	1.18e-01	8557	Known																																																																													
+25	NICO	24d	24c	1.02e-01	7340	Known																																																																													
+25	NICO	29/30	24c	4.15e-05	3	Known																																																																													
+25	NICO	31	24c	3.18e-04	23	Known																																																																													
+25	NICO	32	24c	1.94e-03	140	Known																																																																													
+25	NICO	F1	24c	1.12e-02	807	Known																																																																													
+25	NICO	F2	24c	4.91e-02	3547	Known																																																																													
+25	NICO	F7	24c	8.05e-02	5812	Known																																																																													
+25	NICO	F3	24c	1.15e-01	8309	Known																																																																													
+25	NICO	F6	24c	2.62e-01	18928	Known																																																																													
+25	NICO	F4	24c	3.07e-03	222	Known																																																																													
+25	NICO	F5	24c	2.21e-02	1598	Known																																																																													
+25	NICO	ProM	24c	2.20e-03	159	Known																																																																													
+25	NICO	10	24c	1.52e-04	11	Known																																																																													
+25	NICO	9	24c	1.33e-02	964	Known																																																																													
+25	NICO	46d	24c	4.85e-04	35	Known																																																																													
+25	NICO	46v	24c	2.31e-03	167	Known																																																																													
+25	NICO	9/46d	24c	5.11e-03	369	Known																																																																													
+25	NICO	9/46v	24c	7.48e-04	54	Known																																																																													
+25	NICO	8B	24c	4.29e-02	3096	Known																																																																													
+25	NICO	8l	24c	8.31e-05	6	Known																																																																													
+25	NICO	8m	24c	2.77e-05	2	Known																																																																													
+25	NICO	8r	24c	2.77e-05	2	Known																																																																													
+25	NICO	45B	24c	8.31e-05	6	Known																																																																													
+25	NICO	44	24c	1.60e-02	1158	Known																																																																													
+25	NICO	OPRO	24c	6.37e-04	46	Known																																																																													
+25	NICO	11	24c	4.15e-05	3	Known																																																																													
+25	NICO	12	24c	2.08e-02	1500	Known																																																																													
+26	M69LH	7op	F1	6.60e-03	586	Known																																																																													
+26	M69LH	7A	F1	3.60e-04	32	Known																																																																													
+26	M69LH	5	F1	1.09e-01	9683	Known																																																																													
+26	M69LH	STPc	F1	9.00e-05	8	Known																																																																													
+26	M69LH	MST	F1	1.91e-04	17	NFP																																																																													
+26	M69LH	MB	F1	3.15e-04	28	Known																																																																													
+26	M69LH	INSULA	F1	2.66e-03	236	Known																																																																													
+26	M69LH	1	F1	1.22e-03	108	Known																																																																													
+26	M69LH	2	F1	1.25e-01	11148	Known																																																																													
+26	M69LH	3	F1	9.93e-03	882	Known																																																																													
+26	M69LH	23	F1	3.21e-02	2848	Known																																																																													
+26	M69LH	24b	F1	4.24e-03	377	Known																																																																													
+26	M69LH	24c	F1	4.32e-03	384	Known																																																																													
+26	M69LH	24d	F1	2.08e-02	1845	Known																																																																													
+26	M69LH	29/30	F1	4.50e-05	4	Known																																																																													
+26	M69LH	F2	F1	4.02e-01	35723	Known																																																																													
+26	M69LH	F7	F1	3.34e-03	297	Known																																																																													
+26	M69LH	F3	F1	2.30e-01	20431	Known																																																																													
+26	M69LH	F6	F1	7.80e-03	693	Known																																																																													
+26	M69LH	F4	F1	2.94e-02	2615	Known																																																																													
+26	M69LH	F5	F1	9.00e-03	800	Known																																																																													
+26	M69LH	ProM	F1	3.60e-04	32	Known																																																																													
+26	M69LH	9	F1	4.50e-05	4	NFP																																																																													
+26	M69LH	8B	F1	3.60e-04	32	Known																																																																													
+26	M69LH	8m	F1	4.50e-05	4	Known																																																																													
+26	M69LH	44	F1	4.05e-04	36	Known																																																																													
+27	M102RH	7op	F2	1.24e-02	1417	Known																																																																													
+27	M102RH	7A	F2	8.33e-03	951	Known																																																																													
+27	M102RH	7B	F2	5.25e-05	6	Known																																																																													
+27	M102RH	LIP	F2	7.01e-05	8	Known																																																																													
+27	M102RH	VIP	F2	7.88e-05	9	Known																																																																													
+27	M102RH	MIP	F2	2.21e-03	252	Known																																																																													
+27	M102RH	AIP	F2	5.25e-05	6	Known																																																																													
+27	M102RH	5	F2	1.88e-02	2146	Known																																																																						(34,	37,	52,	70,	73,	88,	99,	102-
+27	M102RH	7m	F2	7.47e-03	853	Known																																																																					103)								
+27	M102RH	STPr	F2	4.38e-05	5	NFP																																																																													
+27	M102RH	STPi	F2	4.47e-04	51	Known																																																																													
+27	M102RH	STPc	F2	3.77e-04	43	Known																																																																													
+27	M102RH	TPt	F2	1.35e-02	1546	Known																																																																													
+27	M102RH	PGa	F2	1.23e-04	14	NFP																																																																													
+27	M102RH	IPa	F2	5.25e-05	6	NFP																																																																													
+27	M102RH	MST	F2	4.03e-04	46	Known																																																																													
+27	M102RH	MT	F2	8.76e-06	1	NFP																																																																													
+27	M102RH	PERI	F2	3.50e-05	4	NFP																																																																													
+27	M102RH	TEa/ma	F2	5.25e-05	6	NFP																																																																													
+27	M102RH	POLE	F2	2.63e-05	3	NFP																																																																													
+27	M102RH	MB	F2	3.07e-04	35	NFP																																																																													
+27	M102RH	PBr	F2	6.13e-05	7	NFP																																																																													
+27	M102RH	Parainsula	F2	9.63e-05	11	Known																																																																													
+27	M102RH	INSULA	F2	6.48e-03	740	Known																																																																													
+27	M102RH	SII	F2	5.25e-05	6	Known																																																																													
+27	M102RH	3	F2	5.80e-03	662	Known																																																																													
+27	M102RH	23	F2	8.35e-02	9530	Known																																																																													
+27	M102RH	24a	F2	3.15e-04	36	Known																																																																													
+27	M102RH	24b	F2	2.13e-02	2429	Known																																																																													
+27	M102RH	24c	F2	3.12e-02	3567	Known																																																																													
+27	M102RH	24d	F2	1.35e-01	15382	Known																																																																													
+27	M102RH	31	F2	1.05e-04	12	Known																																																																													
+27	M102RH	F1	F2	1.63e-01	18590	Known																																																																													
+27	M102RH	F7	F2	2.43e-02	2770	Known																																																																													
+27	M102RH	F3	F2	3.40e-01	38856	Known																																																																													
+27	M102RH	F6	F2	7.54e-02	8612	Known																																																																													
+27	M102RH	F4	F2	4.23e-03	483	Known																																																																													
+27	M102RH	F5	F2	4.19e-02	4788	Known																																																																													
+27	M102RH	ProM	F2	7.88e-05	9	NFP																																																																													
+27	M102RH	46v	F2	4.55e-04	52	Known																																																																													
+27	M102RH	9/46d	F2	1.66e-04	19	Known																																																																													
+27	M102RH	9/46v	F2	2.54e-04	29	Known																																																																													
+27	M102RH	8B	F2	1.31e-04	15	Known																																																																													
+27	M102RH	8l	F2	1.75e-05	2	Known																																																																													
+27	M102RH	8m	F2	2.54e-04	29	Known																																																																													
+27	M102RH	8r	F2	2.63e-05	3	Known																																																																													
+27	M102RH	45B	F2	4.38e-05	5	NFP																																																																													
+27	M102RH	44	F2	6.83e-04	78	Known																																																																													
+27	M102RH	OPRO	F2	2.45e-04	28	NFP																																																																													
+27	M102RH	12	F2	1.23e-04	14	NFP																																																																													
+27	M102RH	13	F2	7.01e-05	8	NFP																																																																													
+28	M102LH	V2	F7	9.04e-05	8	NFP																																																																													
+28	M102LH	7op	F7	3.84e-04	34	Known																																																																													
+28	M102LH	7A	F7	2.12e-03	188	Known																																																																													
+28	M102LH	7B	F7	5.65e-05	5	Known																																																																													
+28	M102LH	LIP	F7	4.41e-04	39	Known																																																																													
+28	M102LH	VIP	F7	1.13e-05	1	NFP																																																																													
+28	M102LH	5	F7	2.26e-05	2	Known																																																																													
+28	M102LH	7m	F7	5.63e-03	498	Known																																																																													
+28	M102LH	STPr	F7	6.58e-03	582	Known																																																																													
+28	M102LH	STPi	F7	1.17e-02	1033	Known																																																																													
+28	M102LH	STPc	F7	1.84e-03	163	Known																																																																													
+28	M102LH	TPt	F7	1.74e-03	154	Known																																																																													
+28	M102LH	PGa	F7	2.86e-03	253	Known																																																																													
+28	M102LH	IPa	F7	2.98e-03	264	Known																																																																													
+28	M102LH	FST	F7	7.91e-05	7	Known																																																																													
+28	M102LH	MST	F7	6.33e-04	56	Known																																																																													
+28	M102LH	TEO	F7	4.52e-05	4	NFP																																																																													
+28	M102LH	PERI	F7	5.65e-05	5	NFP																																																																													
+28	M102LH	TEav	F7	6.78e-05	6	NFP																																																																													
+28	M102LH	TEa/ma	F7	9.15e-04	81	Known																																																																													
+28	M102LH	TEa/mp	F7	2.26e-05	2	Known																																																																													
+28	M102LH	POLE	F7	5.99e-04	53	Known																																																																													
+28	M102LH	MB	F7	1.58e-03	140	NFP																																																																													
+28	M102LH	PBr	F7	2.55e-03	226	NFP																																																																													
+28	M102LH	PBc	F7	2.26e-05	2	Known																																																																													
+28	M102LH	Parainsula	F7	5.65e-04	50	Known																																																																													
+28	M102LH	INSULA	F7	2.46e-03	218	Known																																																																													
+28	M102LH	SII	F7	2.26e-05	2	Known																																																																													
+28	M102LH	1	F7	1.13e-05	1	NFP																																																																													
+28	M102LH	3	F7	1.13e-04	10	NFP																																																																													
+28	M102LH	23	F7	3.04e-02	2691	Known																																																																													
+28	M102LH	24a	F7	1.08e-02	956	Known																																																																													
+28	M102LH	24b	F7	6.48e-02	5733	Known																																																																													
+28	M102LH	24c	F7	9.32e-02	8249	Known																																																																													
+28	M102LH	24d	F7	1.78e-02	1578	Known																																																																													
+28	M102LH	31	F7	4.84e-03	428	Known																																																																													
+28	M102LH	32	F7	2.49e-04	22	Known																																																																													
+28	M102LH	F1	F7	2.94e-04	26	Known																																																																													
+28	M102LH	F2	F7	9.72e-02	8602	Known																																																																													
+28	M102LH	F3	F7	1.01e-02	890	Known																																																																													
+28	M102LH	F6	F7	2.42e-01	21432	Known																																																																													
+28	M102LH	F4	F7	2.72e-03	241	Known																																																																													
+28	M102LH	F5	F7	2.14e-03	189	Known																																																																													
+28	M102LH	ProM	F7	1.81e-04	16	Known																																																																													
+28	M102LH	10	F7	1.49e-03	132	Known																																																																													
+28	M102LH	9	F7	1.16e-01	10258	Known																																																																													
+28	M102LH	46d	F7	9.04e-04	80	Known																																																																													
+28	M102LH	46v	F7	1.48e-02	1312	Known																																																																													
+28	M102LH	9/46d	F7	2.51e-02	2226	Known																																																																													
+28	M102LH	9/46v	F7	3.83e-03	339	Known																																																																													
+28	M102LH	8B	F7	1.03e-01	9106	Known																																																																													
+28	M102LH	8l	F7	3.19e-03	282	Known																																																																													
+28	M102LH	8m	F7	3.86e-02	3413	Known																																																																													
+28	M102LH	8r	F7	2.30e-03	204	Known																																																																													
+28	M102LH	45B	F7	6.39e-03	566	Known																																																																													
+28	M102LH	45A	F7	3.47e-02	3073	Known																																																																													
+28	M102LH	44	F7	1.03e-02	913	Known																																																																													
+28	M102LH	OPRO	F7	1.21e-03	107	Known																																																																													
+28	M102LH	11	F7	2.71e-04	24	NFP																																																																													
+28	M102LH	14	F7	2.26e-05	2	NFP																																																																													
+28	M102LH	12	F7	1.24e-02	1100	Known																																																																													
+28	M102LH	13	F7	2.67e-03	236	Known																																																																													
+29	M98LH	7op	ProM	5.07e-05	9	NFP																																																																													
+29	M98LH	7A	ProM	1.69e-05	3	NFP																																																																													
+29	M98LH	7B	ProM	1.06e-03	188	NFP																																																																													
+29	M98LH	LIP	ProM	6.08e-04	108	NFP																																																																													
+29	M98LH	AIP	ProM	4.34e-03	770	Known																																																																													
+29	M98LH	PGa	ProM	2.25e-05	4	NFP																																																																													
+29	M98LH	PERI	ProM	1.25e-03	222	Known																																																																													
+29	M98LH	TEav	ProM	3.83e-04	68	NFP																																																																													
+29	M98LH	TEa/ma	ProM	1.15e-03	204	Known																																																																													
+29	M98LH	ENTO	ProM	2.25e-03	400	NFP																																																																													
+29	M98LH	POLE	ProM	2.16e-03	383	Known																																																																													
+29	M98LH	MB	ProM	2.25e-05	4	NFP																																																																													
+29	M98LH	INSULA	ProM	2.50e-02	4431	Known																																																																													
+29	M98LH	Gu	ProM	1.61e-01	28602	Known																																																																													
+29	M98LH	SII	ProM	2.47e-01	43906	Known																																																																													
+29	M98LH	1	ProM	2.25e-05	4	Known																																																																													
+29	M98LH	2	ProM	2.79e-02	4958	Known																																																																													
+29	M98LH	3	ProM	1.13e-04	20	Known																																																																													
+29	M98LH	24a	ProM	2.13e-03	378	NFP																																																																													
+29	M98LH	24b	ProM	3.94e-05	7	Known																																																																													
+29	M98LH	24c	ProM	2.51e-03	446	Known																																																																													
+29	M98LH	24d	ProM	1.18e-04	21	Known																																																																													
+29	M98LH	F1	ProM	6.76e-05	12	NFP																																																																													
+29	M98LH	F2	ProM	1.13e-05	2	Known																																																																													
+29	M98LH	F3	ProM	1.57e-03	278	Known																																																																													
+29	M98LH	F4	ProM	3.26e-03	578	Known																																																																													
+29	M98LH	F5	ProM	3.17e-01	56218	Known																																																																													
+29	M98LH	9	ProM	2.25e-05	4	NFP																																																																													
+29	M98LH	46d	ProM	1.13e-05	2	NFP																																																																													
+29	M98LH	46v	ProM	3.15e-04	56	Known																																																																													
+29	M98LH	9/46v	ProM	2.01e-02	3569	Known																																																																													
+29	M98LH	44	ProM	1.13e-02	2008	Known																																																																													
+29	M98LH	OPRO	ProM	2.82e-02	5016	Known																																																																													
+29	M98LH	OPAI	ProM	4.07e-03	723	Known																																																																													
+29	M98LH	11	ProM	5.63e-05	10	NFP																																																																													
+29	M98LH	12	ProM	1.33e-01	23657	Known																																																																													
+29	M98LH	13	ProM	1.66e-03	294	Known																																																																													
+30	BB272RH	V1	8l	1.43e-04	14	NFP																																																																													
+30	BB272RH	V2	8l	3.49e-03	342	Known																																																																													
+30	BB272RH	V3	8l	5.42e-03	531	Known																																																																													
+30	BB272RH	V3A	8l	4.29e-04	42	Known																																																																													
+30	BB272RH	V4	8l	1.21e-02	1186	Known																																																																													
+30	BB272RH	V4t	8l	3.06e-04	30	Known																																																																													
+30	BB272RH	7op	8l	1.12e-04	11	Known																																																																													
+30	BB272RH	7A	8l	1.51e-03	148	Known																																																																													
+30	BB272RH	7B	8l	3.06e-05	3	Known																																																																													
+30	BB272RH	LIP	8l	2.92e-02	2859	Known																																																																													
+30	BB272RH	VIP	8l	1.63e-03	160	Known																																																																													
+30	BB272RH	MIP	8l	8.17e-05	8	Known																																																																													
+30	BB272RH	PIP	8l	3.15e-03	308	Known																																																																													
+30	BB272RH	AIP	8l	1.02e-04	10	Known																																																																													
+30	BB272RH	DP	8l	5.21e-04	51	Known																																																																													
+30	BB272RH	V6A	8l	2.15e-04	21	Known																																																																													
+30	BB272RH	5	8l	6.13e-05	6	Known																																																																													
+30	BB272RH	7m	8l	1.02e-04	10	NFP																																																																													
+30	BB272RH	STPr	8l	1.40e-03	137	Known																																																																													
+30	BB272RH	STPi	8l	5.75e-03	563	Known																																																																													
+30	BB272RH	STPc	8l	1.21e-02	1189	Known																																																																													
+30	BB272RH	TPt	8l	4.29e-04	42	Known																																																																													
+30	BB272RH	PGa	8l	4.89e-03	479	Known																																																																													
+30	BB272RH	IPa	8l	2.02e-03	198	Known																																																																													
+30	BB272RH	FST	8l	3.31e-03	324	Known																																																																													
+30	BB272RH	MST	8l	5.40e-03	529	Known																																																																													
+30	BB272RH	MT	8l	2.03e-02	1986	Known																																																																													
+30	BB272RH	TEO	8l	1.47e-03	144	Known																																																																													
+30	BB272RH	TEOm	8l	2.63e-03	257	Known																																																																													
+30	BB272RH	PERI	8l	1.33e-04	13	Known																																																																													
+30	BB272RH	TEad	8l	3.06e-05	3	Known																																																																													
+30	BB272RH	TEav	8l	1.33e-04	13	NFP																																																																													
+30	BB272RH	TEpd	8l	1.43e-04	14	Known																																																																													
+30	BB272RH	TEpv	8l	1.28e-03	125	Known																																																																													
+30	BB272RH	TEa/ma	8l	1.33e-04	13	Known																																																																													
+30	BB272RH	TEa/mp	8l	9.19e-05	9	Known																																																																													
+30	BB272RH	ENTO	8l	2.86e-04	28	NFP																																																																													
+30	BB272RH	TH/TF	8l	1.27e-03	124	Known																																																																													
+30	BB272RH	SUB	8l	2.04e-05	2	NFP																																																																													
+30	BB272RH	POLE	8l	5.01e-04	49	NFP																																																																													
+30	BB272RH	CORE	8l	6.95e-04	68	NFP																																																																													
+30	BB272RH	MB	8l	2.02e-03	198	NFP																																																																													
+30	BB272RH	LB	8l	4.49e-04	44	Known																																																																													
+30	BB272RH	PBr	8l	9.81e-04	96	NFP																																																																													
+30	BB272RH	PBc	8l	2.00e-03	196	NFP																																																																													
+30	BB272RH	Parainsula	8l	3.27e-04	32	NFP																																																																													
+30	BB272RH	INSULA	8l	9.21e-03	902	Known																																																																													
+30	BB272RH	Gu	8l	1.32e-03	129	NFP																																																																													
+30	BB272RH	SII	8l	1.31e-03	128	NFP																																																																													
+30	BB272RH	2	8l	2.35e-04	23	NFP																																																																													
+30	BB272RH	3	8l	2.45e-04	24	NFP																																																																													
+30	BB272RH	23	8l	7.56e-04	74	Known																																																																													
+30	BB272RH	24a	8l	4.17e-03	408	Known																																																																													
+30	BB272RH	24b	8l	2.32e-03	227	Known																																																																													
+30	BB272RH	24c	8l	2.42e-03	237	NFP																																																																													
+30	BB272RH	24d	8l	1.05e-03	103	NFP																																																																													
+30	BB272RH	29/30	8l	2.45e-04	24	NFP																																																																													
+30	BB272RH	31	8l	7.15e-05	7	NFP																																																																													
+30	BB272RH	32	8l	1.02e-04	10	NFP																																																																													
+30	BB272RH	F1	8l	1.85e-03	181	Known																																																																													
+30	BB272RH	F2	8l	1.90e-02	1860	Known																																																																													
+30	BB272RH	F7	8l	2.61e-02	2552	Known																																																																													
+30	BB272RH	F3	8l	2.25e-04	22	NFP																																																																													
+30	BB272RH	F6	8l	2.33e-03	228	Known																																																																													
+30	BB272RH	F4	8l	5.42e-03	531	Known																																																																													
+30	BB272RH	F5	8l	1.27e-02	1244	Known																																																																													
+30	BB272RH	ProM	8l	1.75e-03	171	Known																																																																													
+30	BB272RH	10	8l	5.31e-04	52	NFP																																																																													
+30	BB272RH	9	8l	2.57e-03	252	Known																																																																													
+30	BB272RH	46d	8l	3.91e-02	3825	Known																																																																													
+30	BB272RH	46v	8l	1.11e-02	1090	Known																																																																													
+30	BB272RH	9/46d	8l	1.03e-02	1005	Known																																																																													
+30	BB272RH	9/46v	8l	2.49e-02	2439	Known																																																																													
+30	BB272RH	8B	8l	2.06e-02	2018	Known																																																																													
+30	BB272RH	8m	8l	4.15e-01	40660	Known																																																																													
+30	BB272RH	8r	8l	1.23e-01	12083	Known																																																																													
+30	BB272RH	45B	8l	6.82e-02	6673	Known																																																																													
+30	BB272RH	45A	8l	1.25e-02	1220	Known																																																																													
+30	BB272RH	44	8l	1.93e-02	1886	Known																																																																													
+30	BB272RH	OPRO	8l	4.41e-03	432	NFP																																																																													
+30	BB272RH	OPAI	8l	5.82e-04	57	NFP																																																																													
+30	BB272RH	11	8l	5.41e-04	53	NFP																																																																													
+30	BB272RH	14	8l	6.13e-05	6	NFP																																																																													
+30	BB272RH	25	8l	5.11e-05	5	NFP																																																																													
+30	BB272RH	12	8l	2.12e-02	2078	Known																																																																													
+30	BB272RH	13	8l	3.64e-03	356	NFP																																																																													
+30	BB272RH	PIRI	8l	9.19e-05	9	NFP																																																																													
+31	M116RH	V3	9/46v	1.17e-05	4	Known																																																																													
+31	M116RH	7op	9/46v	4.27e-04	146	Known																																																																													
+31	M116RH	7A	9/46v	2.23e-02	7614	Known																																																																													
+31	M116RH	7B	9/46v	1.95e-02	6664	Known																																																																													
+31	M116RH	LIP	9/46v	1.61e-02	5516	Known																																																																													
+31	M116RH	VIP	9/46v	3.51e-05	12	NFP																																																																													
+31	M116RH	AIP	9/46v	2.07e-03	706	Known																																																																													
+31	M116RH	V6A	9/46v	8.19e-05	28	Known																																																																													
+31	M116RH	5	9/46v	7.02e-05	24	NFP																																																																													
+31	M116RH	7m	9/46v	7.78e-04	266	Known																																																																													
+31	M116RH	STPr	9/46v	2.90e-04	99	Known																																																																													
+31	M116RH	STPi	9/46v	7.37e-04	252	Known																																																																													
+31	M116RH	STPc	9/46v	9.83e-04	336	Known																																																																													
+31	M116RH	TPt	9/46v	2.19e-03	748	NFP																																																																													
+31	M116RH	PGa	9/46v	5.33e-03	1823	Known																																																																													
+31	M116RH	IPa	9/46v	8.97e-03	3066	Known																																																																													
+31	M116RH	FST	9/46v	2.34e-05	8	Known																																																																													
+31	M116RH	MST	9/46v	5.73e-04	196	NFP																																																																													
+31	M116RH	TEOm	9/46v	2.34e-05	8	NFP																																																																													
+31	M116RH	PERI	9/46v	2.19e-03	748	Known																																																																													
+31	M116RH	TEad	9/46v	2.34e-04	80	NFP																																																																													
+31	M116RH	TEav	9/46v	4.33e-04	148	Known																																																																													
+31	M116RH	TEpd	9/46v	1.05e-04	36	NFP																																																																													
+31	M116RH	TEpv	9/46v	7.02e-04	240	Known																																																																													
+31	M116RH	TEa/ma	9/46v	1.14e-02	3884	Known																																																																													
+31	M116RH	TEa/mp	9/46v	2.03e-02	6954	Known																																																																													
+31	M116RH	ENTO	9/46v	2.34e-05	8	NFP																																																																													
+31	M116RH	TH/TF	9/46v	6.14e-05	21	Known																																																																													
+31	M116RH	POLE	9/46v	7.26e-04	248	Known																																																																													
+31	M116RH	MB	9/46v	3.51e-05	12	NFP																																																																													
+31	M116RH	PBr	9/46v	1.17e-05	4	NFP																																																																													
+31	M116RH	PBc	9/46v	2.05e-05	7	NFP																																																																													
+31	M116RH	Parainsula	9/46v	2.34e-05	8	NFP																																																																													
+31	M116RH	INSULA	9/46v	1.01e-02	3445	Known																																																																													
+31	M116RH	Gu	9/46v	1.52e-04	52	NFP																																																																													
+31	M116RH	SII	9/46v	2.26e-02	7711	Known																																																																													
+31	M116RH	2	9/46v	1.81e-03	618	Known																																																																													
+31	M116RH	3	9/46v	3.51e-05	12	NFP																																																																													
+31	M116RH	23	9/46v	1.18e-02	4041	Known																																																																													
+31	M116RH	24a	9/46v	1.63e-02	5584	Known																																																																													
+31	M116RH	24b	9/46v	2.77e-03	948	Known																																																																													
+31	M116RH	24c	9/46v	6.88e-03	2352	Known																																																																													
+31	M116RH	24d	9/46v	1.14e-03	388	NFP																																																																													
+31	M116RH	29/30	9/46v	6.85e-03	2342	NFP																																																																													
+31	M116RH	31	9/46v	3.51e-05	12	NFP																																																																													
+31	M116RH	32	9/46v	9.07e-05	31	NFP																																																																													
+31	M116RH	F1	9/46v	5.85e-05	20	NFP																																																																													
+31	M116RH	F2	9/46v	5.17e-03	1768	Known																																																																													
+31	M116RH	F7	9/46v	8.75e-03	2992	Known																																																																													
+31	M116RH	F3	9/46v	1.24e-03	423	Known																																																																													
+31	M116RH	F6	9/46v	9.18e-03	3136	Known																																																																													
+31	M116RH	F4	9/46v	1.47e-02	5016	Known																																																																													
+31	M116RH	F5	9/46v	1.80e-02	6168	Known																																																																													
+31	M116RH	ProM	9/46v	9.21e-03	3148	Known																																																																													
+31	M116RH	10	9/46v	2.40e-04	82	NFP																																																																													
+31	M116RH	9	9/46v	5.47e-04	187	NFP																																																																													
+31	M116RH	46d	9/46v	3.85e-02	13150	Known																																																																													
+31	M116RH	46v	9/46v	3.01e-01	102710	Known																																																																													
+31	M116RH	9/46d	9/46v	1.46e-02	4994	Known																																																																													
+31	M116RH	8B	9/46v	1.65e-02	5628	Known																																																																													
+31	M116RH	8l	9/46v	3.08e-03	1052	Known																																																																													
+31	M116RH	8m	9/46v	3.47e-02	11844	Known																																																																													
+31	M116RH	8r	9/46v	1.93e-03	660	Known																																																																													
+31	M116RH	45B	9/46v	7.63e-03	2608	Known																																																																													
+31	M116RH	45A	9/46v	5.70e-02	19496	Known																																																																													
+31	M116RH	44	9/46v	8.16e-02	27884	Known																																																																													
+31	M116RH	OPRO	9/46v	6.66e-03	2276	Known																																																																													
+31	M116RH	OPAI	9/46v	2.93e-04	100	Known																																																																													
+31	M116RH	11	9/46v	6.02e-02	20564	Known																																																																													
+31	M116RH	14	9/46v	4.68e-04	160	Known																																																																													
+31	M116RH	12	9/46v	9.71e-02	33186	Known																																																																													
+31	M116RH	13	9/46v	1.48e-02	5064	Known																																																																													
+32	M116LH	V2	46d	2.24e-03	540	NFP																																																																													
+32	M116LH	V3	46d	1.16e-04	28	NFP																																																																													
+32	M116LH	7op	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	7A	46d	5.15e-04	124	Known																																																																													
+32	M116LH	LIP	46d	3.32e-05	8	Known																																																																													
+32	M116LH	VIP	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	MIP	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	DP	46d	2.57e-04	62	NFP																																																																													
+32	M116LH	V6A	46d	7.47e-05	18	NFP																																																																													
+32	M116LH	7m	46d	7.47e-04	180	Known																																																																													
+32	M116LH	STPr	46d	6.14e-04	148	Known																																																																													
+32	M116LH	STPi	46d	1.32e-02	3179	Known																																																																													
+32	M116LH	STPc	46d	4.44e-03	1070	Known																																																																													
+32	M116LH	PGa	46d	2.97e-03	716	NFP																																																																													
+32	M116LH	MST	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	MT	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	TEO	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	TEOm	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	PERI	46d	3.32e-05	8	NFP																																																																													
+32	M116LH	TEpd	46d	6.64e-05	16	NFP																																																																													
+32	M116LH	TEpv	46d	3.74e-05	9	NFP																																																																													
+32	M116LH	ENTO	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	TH/TF	46d	8.30e-05	20	Known																																																																													
+32	M116LH	POLE	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	PBr	46d	4.65e-04	112	NFP																																																																													
+32	M116LH	PBc	46d	1.83e-04	44	Known																																																																													
+32	M116LH	Parainsula	46d	3.32e-05	8	NFP																																																																													
+32	M116LH	INSULA	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	2	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	3	46d	2.91e-05	7	NFP																																																																													
+32	M116LH	23	46d	1.38e-02	3321	Known																																																																													
+32	M116LH	24a	46d	1.83e-04	44	NFP																																																																													
+32	M116LH	24b	46d	3.32e-05	8	NFP																																																																													
+32	M116LH	24c	46d	3.04e-03	732	NFP																																																																													
+32	M116LH	24d	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	29/30	46d	2.47e-03	595	Known																																																																													
+32	M116LH	31	46d	1.01e-03	244	Known																																																																													
+32	M116LH	32	46d	1.59e-03	384	Known																																																																													
+32	M116LH	F1	46d	6.64e-05	16	NFP																																																																													
+32	M116LH	F2	46d	1.33e-04	32	NFP																																																																													
+32	M116LH	F7	46d	7.37e-03	1776	Known																																																																													
+32	M116LH	F3	46d	1.66e-05	4	NFP																																																																													
+32	M116LH	F6	46d	3.32e-03	800	NFP																																																																													
+32	M116LH	F4	46d	3.32e-05	8	NFP																																																																													
+32	M116LH	F5	46d	4.98e-05	12	NFP																																																																													
+32	M116LH	10	46d	7.51e-02	18094	Known																																																																													
+32	M116LH	9	46d	1.17e-01	28219	Known																																																																													
+32	M116LH	46v	46d	5.84e-02	14071	Known																																																																													
+32	M116LH	9/46d	46d	6.04e-01	145390	Known																																																																													
+32	M116LH	9/46v	46d	1.16e-04	28	Known																																																																													
+32	M116LH	8B	46d	3.92e-02	9436	Known																																																																													
+32	M116LH	8l	46d	6.64e-05	16	Known																																																																													
+32	M116LH	8m	46d	3.16e-02	7612	Known																																																																													
+32	M116LH	8r	46d	4.24e-03	1020	Known																																																																													
+32	M116LH	45A	46d	1.44e-03	348	Known																																																																													
+32	M116LH	44	46d	8.30e-05	20	NFP																																																																													
+32	M116LH	OPRO	46d	4.82e-04	116	NFP																																																																													
+32	M116LH	11	46d	2.63e-03	634	NFP																																																																													
+32	M116LH	14	46d	2.23e-03	536	Known																																																																													
+32	M116LH	12	46d	3.54e-03	853	Known																																																																													
+32	M116LH	13	46d	5.65e-04	136	Known																																																																													
+33	M128LH	V4	8B	7.73e-06	2	NFP																																																																													
+33	M128LH	7A	8B	8.88e-04	230	Known																																																																													
+33	M128LH	LIP	8B	5.72e-04	148	Known																																																																													
+33	M128LH	DP	8B	1.04e-04	27	NFP																																																																													
+33	M128LH	7m	8B	2.65e-03	686	Known																																																																													
+33	M128LH	STPr	8B	1.91e-02	4952	Known																																																																													
+33	M128LH	STPi	8B	1.44e-02	3720	Known																																																																													
+33	M128LH	STPc	8B	5.41e-05	14	NFP																																																																													
+33	M128LH	PGa	8B	3.97e-03	1027	NFP																																																																													
+33	M128LH	IPa	8B	7.11e-04	184	NFP																																																																													
+33	M128LH	FST	8B	2.20e-04	57	NFP																																																																													
+33	M128LH	PERI	8B	3.48e-05	9	NFP																																																																													
+33	M128LH	TEad	8B	1.55e-05	4	NFP																																																																													
+33	M128LH	TEa/ma	8B	9.27e-05	24	NFP																																																																													
+33	M128LH	TEa/mp	8B	3.09e-05	8	NFP																																																																													
+33	M128LH	ENTO	8B	1.55e-04	40	NFP																																																																													
+33	M128LH	TH/TF	8B	2.97e-04	77	Known																																																																													
+33	M128LH	POLE	8B	8.99e-03	2328	NFP																																																																													
+33	M128LH	CORE	8B	1.55e-05	4	NFP																																																																													
+33	M128LH	MB	8B	3.86e-05	10	NFP																																																																													
+33	M128LH	LB	8B	2.70e-05	7	Known																																																																													
+33	M128LH	PBr	8B	3.52e-04	91	NFP																																																																													
+33	M128LH	Parainsula	8B	6.18e-05	16	NFP																																																																													
+33	M128LH	INSULA	8B	1.00e-04	26	NFP																																																																													
+33	M128LH	SII	8B	7.73e-06	2	NFP																																																																													
+33	M128LH	23	8B	6.53e-03	1691	Known																																																																													
+33	M128LH	24a	8B	2.54e-03	657	Known																																																																													
+33	M128LH	24b	8B	8.14e-03	2107	NFP																																																																													
+33	M128LH	24c	8B	9.37e-02	24248	NFP																																																																													
+33	M128LH	24d	8B	1.39e-04	36	NFP																																																																													
+33	M128LH	29/30	8B	5.37e-04	139	Known																																																																													
+33	M128LH	31	8B	7.07e-04	183	Known																																																																													
+33	M128LH	32	8B	3.40e-02	8796	Known																																																																													
+33	M128LH	F1	8B	7.73e-06	2	NFP																																																																													
+33	M128LH	F2	8B	8.50e-05	22	Known																																																																													
+33	M128LH	F7	8B	1.51e-01	39132	Known																																																																													
+33	M128LH	F6	8B	6.55e-02	16946	Known																																																																													
+33	M128LH	F4	8B	3.09e-05	8	NFP																																																																													
+33	M128LH	F5	8B	7.73e-06	2	NFP																																																																													
+33	M128LH	10	8B	1.32e-01	34149	Known																																																																													
+33	M128LH	9	8B	1.76e-01	45672	Known																																																																													
+33	M128LH	46d	8B	3.99e-02	10340	Known																																																																													
+33	M128LH	46v	8B	3.92e-02	10136	Known																																																																													
+33	M128LH	9/46d	8B	8.70e-02	22512	Known																																																																													
+33	M128LH	9/46v	8B	1.47e-04	38	NFP																																																																													
+33	M128LH	8l	8B	9.35e-04	242	Known																																																																													
+33	M128LH	8m	8B	4.91e-02	12704	Known																																																																													
+33	M128LH	8r	8B	5.83e-04	151	Known																																																																													
+33	M128LH	45B	8B	4.79e-04	124	Known																																																																													
+33	M128LH	45A	8B	2.78e-04	72	Known																																																																													
+33	M128LH	44	8B	5.41e-05	14	NFP																																																																													
+33	M128LH	OPRO	8B	5.41e-03	1400	NFP																																																																													
+33	M128LH	OPAI	8B	2.63e-04	68	NFP																																																																													
+33	M128LH	11	8B	1.27e-02	3288	NFP																																																																													
+33	M128LH	14	8B	5.54e-03	1435	Known																																																																													
+33	M128LH	25	8B	1.55e-04	40	NFP																																																																													
+33	M128LH	12	8B	2.24e-02	5808	Known																																																																													
+33	M128LH	13	8B	1.12e-02	2908	Known																																																																													
+33	M128LH	PIRI	8B	4.02e-04	104	NFP																																																																													
+34	M131LH	V2	10	1.02e-05	2	Known																																																																													
+34	M131LH	Pro.St.	10	1.12e-04	22	Known																																																																													
+34	M131LH	7op	10	4.08e-05	8	NFP																																																																													
+34	M131LH	7A	10	6.53e-04	128	NFP																																																																													
+34	M131LH	LIP	10	1.02e-05	2	NFP																																																																													
+34	M131LH	MIP	10	1.02e-05	2	NFP																																																																													
+34	M131LH	PIP	10	8.17e-05	16	NFP																																																																													
+34	M131LH	DP	10	4.39e-04	86	NFP																																																																													
+34	M131LH	STPr	10	2.98e-02	5828	Known																																																																													
+34	M131LH	STPi	10	4.14e-02	8100	Known																																																																													
+34	M131LH	STPc	10	9.03e-03	1768	Known																																																																													
+34	M131LH	PGa	10	1.99e-03	389	NFP																																																																													
+34	M131LH	IPa	10	1.63e-04	32	NFP																																																																													
+34	M131LH	FST	10	1.63e-04	32	NFP																																																																													
+34	M131LH	PERI	10	1.12e-04	22	Known																																																																													
+34	M131LH	TEav	10	4.08e-05	8	Known																																																																													
+34	M131LH	TEpd	10	1.02e-05	2	NFP																																																																													
+34	M131LH	TEpv	10	1.02e-05	2	NFP																																																																													
+34	M131LH	TEa/ma	10	2.55e-05	5	Known																																																																													
+34	M131LH	TEa/mp	10	5.10e-06	1	NFP																																																																													
+34	M131LH	ENTO	10	4.59e-04	90	Known																																																																													
+34	M131LH	TH/TF	10	9.55e-04	187	Known																																																																													
+34	M131LH	SUB	10	3.06e-05	6	NFP																																																																													
+34	M131LH	POLE	10	3.62e-02	7094	Known																																																																													
+34	M131LH	CORE	10	3.47e-04	68	Known																																																																													
+34	M131LH	MB	10	1.61e-03	315	Known																																																																													
+34	M131LH	LB	10	1.17e-03	229	Known																																																																													
+34	M131LH	PBr	10	2.93e-02	5736	Known																																																																													
+34	M131LH	PBc	10	9.41e-03	1844	Known																																																																													
+34	M131LH	Parainsula	10	9.04e-04	177	Known																																																																													
+34	M131LH	INSULA	10	4.19e-04	82	Known																																																																													
+34	M131LH	23	10	5.51e-03	1080	Known																																																																													
+34	M131LH	24a	10	1.63e-04	32	Known																																																																													
+34	M131LH	24b	10	8.58e-04	168	Known																																																																													
+34	M131LH	24c	10	1.62e-03	317	Known																																																																													
+34	M131LH	24d	10	4.90e-04	96	NFP																																																																													
+34	M131LH	29/30	10	1.20e-03	236	Known																																																																													
+34	M131LH	31	10	5.51e-04	108	Known																																																																													
+34	M131LH	32	10	1.35e-02	2638	Known																																																																													
+34	M131LH	F2	10	1.28e-04	25	NFP																																																																													
+34	M131LH	F7	10	1.20e-03	236	NFP																																																																													
+34	M131LH	F6	10	1.02e-05	2	NFP																																																																													
+34	M131LH	F4	10	1.53e-05	3	NFP																																																																													
+34	M131LH	9	10	1.10e-01	21478	Known																																																																													
+34	M131LH	46d	10	2.21e-01	43373	Known																																																																													
+34	M131LH	46v	10	1.55e-01	30350	Known																																																																													
+34	M131LH	9/46d	10	1.28e-04	25	Known																																																																													
+34	M131LH	8B	10	8.50e-03	1665	Known																																																																													
+34	M131LH	8l	10	1.57e-03	308	Known																																																																													
+34	M131LH	8m	10	1.51e-02	2960	Known																																																																													
+34	M131LH	8r	10	8.17e-05	16	NFP																																																																													
+34	M131LH	45B	10	1.17e-03	230	Known																																																																													
+34	M131LH	45A	10	3.52e-03	690	Known																																																																													
+34	M131LH	44	10	1.02e-05	2	Known																																																																													
+34	M131LH	OPRO	10	1.47e-02	2880	Known																																																																													
+34	M131LH	OPAI	10	8.17e-05	16	Known																																																																													
+34	M131LH	11	10	1.36e-02	2671	Known																																																																													
+34	M131LH	14	10	1.45e-01	28468	Known																																																																													
+34	M131LH	25	10	2.38e-02	4660	Known																																																																													
+34	M131LH	12	10	6.63e-02	12983	Known																																																																													
+34	M131LH	13	10	3.01e-02	5888	Known																																																																													
+35	M133LH	V1	MT	1.90e-02	12757	Known																																																																													
+35	M133LH	V2	MT	1.19e-01	80233	Known																																																																													
+35	M133LH	V3	MT	5.10e-02	34282	Known																																																																													
+35	M133LH	V3A	MT	3.35e-02	22510	Known																																																																													
+35	M133LH	V4	MT	3.81e-01	255836	Known																																																																													
+35	M133LH	V4t	MT	7.71e-02	51790	Known																																																																													
+35	M133LH	Pro.St.	MT	8.93e-06	6	NFP																																																																													
+35	M133LH	7A	MT	4.53e-04	304	Known																																																																													
+35	M133LH	LIP	MT	2.29e-02	15358	Known																																																																													
+35	M133LH	VIP	MT	1.49e-03	1004	Known																																																																													
+35	M133LH	MIP	MT	1.19e-05	8	Known																																																																													
+35	M133LH	PIP	MT	9.32e-03	6261	Known																																																																													
+35	M133LH	DP	MT	1.46e-02	9836	Known																																																																													
+35	M133LH	V6A	MT	2.98e-06	2	Known																																																																													
+35	M133LH	STPr	MT	2.43e-04	163	NFP																																																																													
+35	M133LH	STPi	MT	2.17e-04	146	NFP																																																																													
+35	M133LH	STPc	MT	1.78e-03	1196	Known																																																																													
+35	M133LH	TPt	MT	2.68e-05	18	NFP																																																																													
+35	M133LH	PGa	MT	6.07e-03	4074	NFP																																																																													
+35	M133LH	IPa	MT	1.33e-03	895	Known																																																																													
+35	M133LH	FST	MT	6.19e-02	41544	Known																																																																													
+35	M133LH	MST	MT	5.74e-03	3857	Known																																																																													
+35	M133LH	TEO	MT	3.82e-02	25656	Known																																																																													
+35	M133LH	TEOm	MT	8.84e-02	59404	Known																																																																													
+35	M133LH	PERI	MT	8.87e-04	596	NFP																																																																													
+35	M133LH	TEad	MT	1.06e-03	712	NFP																																																																													
+35	M133LH	TEav	MT	1.16e-03	778	NFP																																																																													
+35	M133LH	TEpd	MT	1.36e-02	9102	NFP																																																																													
+35	M133LH	TEpv	MT	1.89e-02	12698	NFP																																																																													
+35	M133LH	TEa/ma	MT	2.27e-03	1522	NFP																																																																													
+35	M133LH	TEa/mp	MT	1.51e-02	10112	Known																																																																													
+35	M133LH	TH/TF	MT	9.41e-03	6322	NFP																																																																													
+35	M133LH	SUB	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	POLE	MT	2.38e-05	16	NFP																																																																													
+35	M133LH	MB	MT	8.04e-05	54	NFP																																																																													
+35	M133LH	LB	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	PBr	MT	1.79e-05	12	NFP																																																																													
+35	M133LH	INSULA	MT	4.47e-05	30	NFP																																																																													
+35	M133LH	SII	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	1	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	2	MT	2.38e-05	16	NFP																																																																													
+35	M133LH	23	MT	1.13e-04	76	NFP																																																																													
+35	M133LH	24a	MT	1.04e-05	7	NFP																																																																													
+35	M133LH	24b	MT	4.47e-06	3	NFP																																																																													
+35	M133LH	29/30	MT	1.79e-05	12	NFP																																																																													
+35	M133LH	32	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	F1	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	F2	MT	5.96e-06	4	NFP																																																																													
+35	M133LH	F4	MT	2.08e-05	14	NFP																																																																													
+35	M133LH	F5	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	ProM	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	9/46d	MT	5.96e-06	4	NFP																																																																													
+35	M133LH	9/46v	MT	3.87e-05	26	NFP																																																																													
+35	M133LH	8l	MT	2.28e-03	1528	Known																																																																													
+35	M133LH	8m	MT	6.28e-04	422	Known																																																																													
+35	M133LH	8r	MT	8.04e-05	54	NFP																																																																													
+35	M133LH	45B	MT	5.00e-04	336	NFP																																																																													
+35	M133LH	45A	MT	2.98e-06	2	NFP																																																																													
+35	M133LH	OPRO	MT	2.98e-06	2	NFP																																																																													
+36	M136RH	V1	7m	2.68e-05	9	NFP																																																																													
+36	M136RH	V2	7m	1.45e-03	487	Known																																																																													
+36	M136RH	V3	7m	1.79e-05	6	Known																																																																													
+36	M136RH	V3A	7m	1.73e-04	58	NFP																																																																													
+36	M136RH	V4	7m	3.66e-04	123	NFP																																																																													
+36	M136RH	Pro.St.	7m	1.61e-04	54	NFP																																																																													
+36	M136RH	7op	7m	5.42e-04	182	Known																																																																													
+36	M136RH	7A	7m	7.85e-02	26357	Known																																																																													
+36	M136RH	7B	7m	5.96e-06	2	Known																																																																													
+36	M136RH	LIP	7m	3.11e-02	10434	Known																																																																													
+36	M136RH	VIP	7m	8.38e-03	2815	Known																																																																													
+36	M136RH	MIP	7m	2.74e-02	9189	Known																																																																													
+36	M136RH	PIP	7m	4.77e-03	1601	Known																																																																													
+36	M136RH	AIP	7m	3.13e-04	105	NFP																																																																													
+36	M136RH	DP	7m	1.34e-02	4510	Known																																																																													
+36	M136RH	V6	7m	2.32e-03	780	Known																																																																													
+36	M136RH	V6A	7m	4.34e-01	145681	Known																																																																													
+36	M136RH	5	7m	7.11e-03	2388	Known																																																																													
+36	M136RH	STPr	7m	5.96e-05	20	Known																																																																													
+36	M136RH	STPi	7m	8.93e-05	30	Known																																																																													
+36	M136RH	STPc	7m	1.17e-02	3921	Known																																																																													
+36	M136RH	TPt	7m	3.70e-03	1242	Known																																																																													
+36	M136RH	PGa	7m	6.25e-04	210	NFP																																																																													
+36	M136RH	IPa	7m	1.37e-04	46	NFP																																																																													
+36	M136RH	FST	7m	5.36e-05	18	NFP																																																																													
+36	M136RH	MST	7m	7.99e-02	26839	Known																																																																													
+36	M136RH	MT	7m	9.14e-04	307	Known																																																																													
+36	M136RH	PERI	7m	1.79e-04	60	Known																																																																													
+36	M136RH	TEpd	7m	5.96e-06	2	NFP																																																																													
+36	M136RH	TEpv	7m	5.81e-04	195	NFP																																																																													
+36	M136RH	TEa/mp	7m	1.79e-05	6	NFP																																																																													
+36	M136RH	ENTO	7m	4.17e-05	14	Known																																																																													
+36	M136RH	TH/TF	7m	5.84e-04	196	Known																																																																													
+36	M136RH	MB	7m	3.10e-04	104	Known																																																																													
+36	M136RH	LB	7m	3.33e-04	112	NFP																																																																													
+36	M136RH	PBr	7m	5.96e-06	2	NFP																																																																													
+36	M136RH	PBc	7m	9.71e-04	326	NFP																																																																													
+36	M136RH	INSULA	7m	1.55e-04	52	Known																																																																													
+36	M136RH	1	7m	1.55e-04	52	Known																																																																													
+36	M136RH	2	7m	1.19e-05	4	Known																																																																													
+36	M136RH	3	7m	2.98e-05	10	Known																																																																													
+36	M136RH	23	7m	9.12e-02	30620	Known																																																																													
+36	M136RH	24a	7m	1.10e-03	368	Known																																																																													
+36	M136RH	24b	7m	1.01e-02	3407	Known																																																																													
+36	M136RH	24c	7m	1.65e-03	554	Known																																																																													
+36	M136RH	24d	7m	9.13e-03	3067	Known																																																																													
+36	M136RH	29/30	7m	5.65e-03	1899	Known																																																																													
+36	M136RH	31	7m	2.68e-02	8990	Known																																																																													
+36	M136RH	32	7m	3.57e-05	12	Known																																																																													
+36	M136RH	F1	7m	3.07e-04	103	Known																																																																													
+36	M136RH	F2	7m	3.17e-02	10644	Known																																																																													
+36	M136RH	F7	7m	1.34e-02	4505	Known																																																																													
+36	M136RH	F3	7m	1.67e-03	562	Known																																																																													
+36	M136RH	F6	7m	1.90e-03	638	Known																																																																													
+36	M136RH	F5	7m	2.98e-05	10	Known																																																																													
+36	M136RH	9	7m	4.82e-04	162	Known																																																																													
+36	M136RH	46d	7m	4.29e-03	1442	Known																																																																													
+36	M136RH	46v	7m	5.78e-03	1941	Known																																																																													
+36	M136RH	9/46d	7m	2.16e-02	7248	Known																																																																													
+36	M136RH	9/46v	7m	1.24e-03	416	Known																																																																													
+36	M136RH	8B	7m	3.84e-02	12896	Known																																																																													
+36	M136RH	8l	7m	5.78e-04	194	NFP																																																																													
+36	M136RH	8m	7m	1.86e-02	6238	Known																																																																													
+36	M136RH	8r	7m	3.68e-03	1236	Known																																																																													
+36	M136RH	45B	7m	1.13e-04	38	Known																																																																													
+36	M136RH	44	7m	1.67e-04	56	NFP																																																																													
+36	M136RH	11	7m	2.98e-05	10	NFP																																																																													
+36	M136RH	14	7m	2.08e-05	7	NFP																																																																													
+36	M136RH	25	7m	2.38e-05	8	NFP																																																																													
+36	M136RH	12	7m	4.17e-05	14	NFP																																																																													
+36	M136RH	13	7m	2.38e-05	8	NFP																																																																													
+37	M136LH	V2	10	1.87e-05	6	Known																																																																													
+37	M136LH	Pro.St.	10	6.32e-03	2026	Known																																																																													
+37	M136LH	7A	10	3.12e-06	1	NFP																																																																													
+37	M136LH	DP	10	3.12e-06	1	NFP																																																																													
+37	M136LH	STPr	10	3.79e-02	12168	Known																																																																													
+37	M136LH	STPi	10	1.01e-02	3234	Known																																																																													
+37	M136LH	STPc	10	7.39e-03	2372	Known																																																																													
+37	M136LH	PGa	10	2.67e-03	858	NFP																																																																													
+37	M136LH	IPa	10	2.81e-04	90	NFP																																																																													
+37	M136LH	FST	10	4.99e-05	16	NFP																																																																													
+37	M136LH	PERI	10	9.29e-04	298	Known																																																																													
+37	M136LH	TEad	10	2.49e-05	8	NFP																																																																													
+37	M136LH	TEav	10	1.12e-04	36	Known																																																																													
+37	M136LH	TEpd	10	1.25e-05	4	NFP																																																																													
+37	M136LH	TEpv	10	6.23e-06	2	NFP																																																																													
+37	M136LH	TEa/ma	10	3.05e-04	98	Known																																																																													
+37	M136LH	ENTO	10	2.52e-04	81	Known																																																																													
+37	M136LH	TH/TF	10	1.37e-03	441	Known																																																																													
+37	M136LH	SUB	10	5.92e-05	19	NFP																																																																													
+37	M136LH	POLE	10	1.72e-02	5526	Known																																																																													
+37	M136LH	CORE	10	7.98e-04	256	Known																																																																													
+37	M136LH	MB	10	6.42e-04	206	Known																																																																													
+37	M136LH	LB	10	2.07e-03	665	Known																																																																													
+37	M136LH	PBr	10	1.97e-02	6334	Known																																																																													
+37	M136LH	PBc	10	5.33e-04	171	Known																																																																													
+37	M136LH	Parainsula	10	1.68e-04	54	Known																																																																													
+37	M136LH	INSULA	10	1.93e-04	62	Known																																																																													
+37	M136LH	23	10	1.92e-02	6158	Known																																																																													
+37	M136LH	24a	10	1.54e-03	494	Known																																																																													
+37	M136LH	24b	10	4.68e-04	150	Known																																																																													
+37	M136LH	24c	10	2.09e-03	670	Known																																																																													
+37	M136LH	24d	10	2.49e-05	8	NFP																																																																													
+37	M136LH	29/30	10	1.10e-03	353	Known																																																																													
+37	M136LH	31	10	2.43e-03	778	Known																																																																													
+37	M136LH	32	10	5.22e-02	16745	Known																																																																													
+37	M136LH	F1	10	6.23e-06	2	NFP																																																																													
+37	M136LH	F2	10	5.61e-05	18	NFP																																																																													
+37	M136LH	F7	10	6.55e-04	210	NFP																																																																													
+37	M136LH	F6	10	2.49e-05	8	NFP																																																																													
+37	M136LH	F4	10	6.23e-06	2	NFP																																																																													
+37	M136LH	F5	10	3.12e-05	10	Known																																																																													
+37	M136LH	9	10	9.98e-02	32009	Known																																																																													
+37	M136LH	46d	10	1.15e-01	36892	Known																																																																													
+37	M136LH	46v	10	8.05e-02	25822	Known																																																																													
+37	M136LH	9/46d	10	8.60e-03	2758	Known																																																																													
+37	M136LH	9/46v	10	2.49e-05	8	Known																																																																													
+37	M136LH	8B	10	1.53e-02	4912	Known																																																																													
+37	M136LH	8l	10	7.48e-05	24	Known																																																																													
+37	M136LH	8m	10	1.84e-03	590	Known																																																																													
+37	M136LH	8r	10	3.12e-05	10	NFP																																																																													
+37	M136LH	45B	10	1.31e-04	42	Known																																																																													
+37	M136LH	45A	10	6.23e-05	20	Known																																																																													
+37	M136LH	44	10	2.49e-05	8	Known																																																																													
+37	M136LH	OPRO	10	5.52e-02	17696	Known																																																																													
+37	M136LH	OPAI	10	1.30e-03	418	Known																																																																													
+37	M136LH	11	10	9.10e-02	29178	Known																																																																													
+37	M136LH	14	10	2.28e-01	73291	Known																																																																													
+37	M136LH	25	10	2.03e-02	6525	Known																																																																													
+37	M136LH	12	10	6.07e-02	19483	Known																																																																													
+37	M136LH	13	10	3.27e-02	10484	Known																																																																													
+38	M137LH	Pro.St.	10	3.47e-04	94	Known																																																																													
+38	M137LH	7A	10	1.48e-05	4	NFP																																																																													
+38	M137LH	LIP	10	7.39e-06	2	NFP																																																																													
+38	M137LH	DP	10	7.39e-06	2	NFP																																																																													
+38	M137LH	STPr	10	2.41e-02	6514	Known																																																																													
+38	M137LH	STPi	10	1.77e-02	4792	Known																																																																													
+38	M137LH	STPc	10	1.54e-03	416	Known																																																																													
+38	M137LH	PGa	10	1.95e-03	528	NFP																																																																													
+38	M137LH	IPa	10	2.29e-04	62	NFP																																																																													
+38	M137LH	FST	10	2.22e-05	6	NFP																																																																													
+38	M137LH	PERI	10	2.22e-04	60	Known																																																																													
+38	M137LH	TEav	10	1.48e-05	4	Known																																																																													
+38	M137LH	TEpv	10	1.48e-05	4	NFP																																																																													
+38	M137LH	TEa/ma	10	7.39e-06	2	Known																																																																													
+38	M137LH	ENTO	10	3.70e-05	10	Known																																																																													
+38	M137LH	TH/TF	10	2.14e-03	580	Known																																																																													
+38	M137LH	SUB	10	4.43e-05	12	NFP																																																																													
+38	M137LH	POLE	10	3.10e-02	8384	Known																																																																													
+38	M137LH	CORE	10	2.44e-04	66	Known																																																																													
+38	M137LH	MB	10	1.10e-03	297	Known																																																																													
+38	M137LH	LB	10	5.47e-04	148	Known																																																																													
+38	M137LH	PBr	10	4.31e-02	11675	Known																																																																													
+38	M137LH	PBc	10	6.36e-04	172	Known																																																																													
+38	M137LH	Parainsula	10	3.62e-04	98	Known																																																																													
+38	M137LH	INSULA	10	1.29e-04	35	Known																																																																													
+38	M137LH	23	10	3.38e-03	914	Known																																																																													
+38	M137LH	24a	10	5.17e-04	140	Known																																																																													
+38	M137LH	24b	10	1.41e-03	382	Known																																																																													
+38	M137LH	24c	10	5.19e-03	1404	Known																																																																													
+38	M137LH	24d	10	1.11e-05	3	NFP																																																																													
+38	M137LH	29/30	10	1.37e-03	372	Known																																																																													
+38	M137LH	31	10	1.48e-05	4	Known																																																																													
+38	M137LH	32	10	2.12e-02	5724	Known																																																																													
+38	M137LH	F2	10	1.48e-05	4	NFP																																																																													
+38	M137LH	F7	10	2.95e-03	798	NFP																																																																													
+38	M137LH	F6	10	5.91e-05	16	NFP																																																																													
+38	M137LH	9	10	8.18e-02	22144	Known																																																																													
+38	M137LH	46d	10	1.70e-01	46016	Known																																																																													
+38	M137LH	46v	10	1.20e-01	32352	Known																																																																													
+38	M137LH	9/46d	10	3.24e-02	8780	Known																																																																													
+38	M137LH	9/46v	10	4.43e-05	12	Known																																																																													
+38	M137LH	8B	10	3.22e-02	8708	Known																																																																													
+38	M137LH	8l	10	5.17e-05	14	Known																																																																													
+38	M137LH	8m	10	3.12e-03	844	Known																																																																													
+38	M137LH	8r	10	5.91e-05	16	NFP																																																																													
+38	M137LH	45B	10	7.17e-04	194	Known																																																																													
+38	M137LH	45A	10	1.03e-02	2776	Known																																																																													
+38	M137LH	OPRO	10	1.33e-02	3612	Known																																																																													
+38	M137LH	OPAI	10	2.07e-04	56	Known																																																																													
+38	M137LH	11	10	2.75e-03	744	Known																																																																													
+38	M137LH	14	10	2.67e-01	72348	Known																																																																													
+38	M137LH	25	10	4.89e-03	1324	Known																																																																													
+38	M137LH	12	10	6.75e-02	18256	Known																																																																													
+38	M137LH	13	10	3.21e-02	8700	Known																																																																													
+39	BB341LH	Pro.St.	10	4.67e-04	136	Known																																																																													
+39	BB341LH	LIP	10	3.43e-06	1	NFP																																																																													
+39	BB341LH	STPr	10	4.73e-02	13788	Known																																																																													
+39	BB341LH	STPi	10	1.30e-02	3772	Known																																																																													
+39	BB341LH	STPc	10	6.70e-04	195	Known																																																																													
+39	BB341LH	PGa	10	1.27e-03	370	NFP																																																																													
+39	BB341LH	IPa	10	4.12e-05	12	NFP																																																																													
+39	BB341LH	FST	10	2.16e-04	63	NFP																																																																													
+39	BB341LH	MST	10	2.06e-05	6	NFP																																																																													
+39	BB341LH	PERI	10	1.79e-04	52	Known																																																																													
+39	BB341LH	TEad	10	1.37e-05	4	NFP																																																																													
+39	BB341LH	TEav	10	4.81e-05	14	Known																																																																													
+39	BB341LH	TEpd	10	1.37e-05	4	NFP																																																																													
+39	BB341LH	TEpv	10	2.06e-05	6	NFP																																																																													
+39	BB341LH	TEa/ma	10	4.94e-04	144	Known																																																																													
+39	BB341LH	TEa/mp	10	4.12e-05	12	NFP																																																																													
+39	BB341LH	ENTO	10	1.37e-04	40	Known																																																																													
+39	BB341LH	TH/TF	10	3.30e-04	96	Known																																																																													
+39	BB341LH	SUB	10	7.55e-05	22	NFP																																																																													
+39	BB341LH	POLE	10	3.04e-02	8854	Known																																																																													
+39	BB341LH	CORE	10	3.43e-05	10	Known																																																																													
+39	BB341LH	MB	10	2.61e-04	76	Known																																																																													
+39	BB341LH	LB	10	4.60e-04	134	Known																																																																													
+39	BB341LH	PBr	10	1.30e-02	3790	Known																																																																													
+39	BB341LH	PBc	10	5.77e-04	168	Known																																																																													
+39	BB341LH	Parainsula	10	3.43e-04	100	Known																																																																													
+39	BB341LH	INSULA	10	4.74e-04	138	Known																																																																													
+39	BB341LH	23	10	2.77e-03	806	Known																																																																													
+39	BB341LH	24a	10	4.33e-04	126	Known																																																																													
+39	BB341LH	24b	10	4.41e-03	1285	Known																																																																													
+39	BB341LH	24c	10	1.68e-02	4897	Known																																																																													
+39	BB341LH	24d	10	1.37e-05	4	NFP																																																																													
+39	BB341LH	29/30	10	1.35e-03	393	Known																																																																													
+39	BB341LH	31	10	2.06e-04	60	Known																																																																													
+39	BB341LH	32	10	8.12e-02	23635	Known																																																																													
+39	BB341LH	F2	10	6.18e-05	18	NFP																																																																													
+39	BB341LH	F7	10	3.27e-03	953	NFP																																																																													
+39	BB341LH	F3	10	6.87e-06	2	NFP																																																																													
+39	BB341LH	F6	10	8.93e-05	26	NFP																																																																													
+39	BB341LH	F4	10	6.87e-06	2	NFP																																																																													
+39	BB341LH	F5	10	1.37e-05	4	Known																																																																													
+39	BB341LH	9	10	1.55e-01	45054	Known																																																																													
+39	BB341LH	46d	10	2.41e-01	70086	Known																																																																													
+39	BB341LH	46v	10	2.95e-02	8588	Known																																																																													
+39	BB341LH	9/46d	10	3.76e-03	1096	Known																																																																													
+39	BB341LH	9/46v	10	2.40e-05	7	Known																																																																													
+39	BB341LH	8B	10	1.96e-02	5712	Known																																																																													
+39	BB341LH	8l	10	5.49e-05	16	Known																																																																													
+39	BB341LH	8m	10	2.80e-03	814	Known																																																																													
+39	BB341LH	8r	10	1.06e-03	308	NFP																																																																													
+39	BB341LH	45B	10	1.32e-03	385	Known																																																																													
+39	BB341LH	45A	10	3.24e-03	945	Known																																																																													
+39	BB341LH	44	10	5.49e-05	16	Known																																																																													
+39	BB341LH	OPRO	10	2.79e-02	8131	Known																																																																													
+39	BB341LH	OPAI	10	4.94e-04	144	Known																																																																													
+39	BB341LH	11	10	5.91e-03	1721	Known																																																																													
+39	BB341LH	14	10	1.97e-01	57506	Known																																																																													
+39	BB341LH	25	10	1.89e-02	5515	Known																																																																													
+39	BB341LH	12	10	6.11e-02	17781	Known																																																																													
+39	BB341LH	13	10	1.09e-02	3175	Known																																																																													
diff --git a/multiarea_model/data_multiarea/raw_data/Markov2014_InjectionSites.csv b/multiarea_model/data_multiarea/raw_data/Markov2014_InjectionSites.csv
new file mode 100644
index 0000000000000000000000000000000000000000..44b965de6f8fe62eb4e79c25d5f375136558f941
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Markov2014_InjectionSites.csv
@@ -0,0 +1,42 @@
+# Data from the supplement of Markov et al (2014). A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cerebral Cortex (New York, N.Y. : 1991), 24(1), 17–36. https://doi.org/10.1093/cercor/bhs270
+INJECTED AREA	CASE	MONKEY	SECTION PLANE	NODE NUMBER	FIDUCIAL	F99	(X,Y,Z)	FV91 Area	Comment
+									
+V1	1	M81LH	HORIZONTAL	30856	27.6	-34.9	5.3	V1	
+V1	2	M85LH	HORIZONTAL	30087	27.7	-35	3.7	V1	
+V1	3	M85RH	HORIZONTAL	30087	27.7	-35	3.7	V1	
+V1	4	M88RH	HORIZONTAL	30086	27.8	-34.7	3.1	V1	
+V1	5	M121LH	CORONAL	29325	26.3	-36.6	5.6	V1	
+V2	6	M101LH	CORONAL	33931	25.8	-32	9.2	V2	slightly beside
+V2	7	M101RH	CORONAL	33163	26.9	-32.7	9	V2	slightly beside
+V2	8	M103LH	CORONAL	33164	26.4	-32.7	9.4	V2	slightly beside
+V4	9	M121RH	CORONAL	36206	29.9	-25.2	4.6	V4	
+V4	10	M123LH	CORONAL	37357	29.9	-25.7	4.2	V4	
+TEO	11	M119LH	CORONAL	28507	28.1	-25.3	-4	V4	
+9/46d	12	M106LH	CORONAL	62526	14.7	14.3	16.1	FEF	
+F5	13	M106RH	CORONAL	71691	24.8	5.5	9.6	Area 4 / ???	on the border
+8m	14	BB272LH	CORONAL	65890	14.4	8.3	16.8	FEF	
+7A	15	BB135LH	HORIZONTAL	57021	15.8	-26.9	20.8	7a	
+DP	16	M89LH	HORIZONTAL	47018	15.2	-30.1	18.4	DP	on the border to V4
+2	17	M98LH	CORONAL	73334	27.8	-6.5	11.1	Area 2	
+5	18	M70LH	HORIZONTAL	58987	17.4	-17.2	21.3	Area 2	
+7B	19	M68LH	SAGITAL	69949	24.9	-16.2	15.7	7b	
+STPr	20	BB289RH	CORONAL	52646	23.7	-2.6	-8.2	STPa	
+STPi	21	BB289LH	CORONAL	60751	28.3	-10	-1.7	STPp	
+STPc	22	M90RH	HORIZONTAL	63769	23.9	-22	8.7	STPp	
+PBr	23	M108LH	CORONAL	61894	28.8	-7.6	0.6	STPp	
+Tepd	24	M128RH	CORONAL	34605	28.4	-13.2	-11.2	CITv	
+24c	25	NICO	CORONAL	48707	6.2	12.7	14.2	Area 9	
+F1	26	M69LH	HORIZONTAL	65528	15.3	-8.4	22.8	Area 4	
+F2	27	M102RH	CORONAL	56369	4.6	3.2	23.7	Area 6	slightly beside
+F7	28	M102LH	CORONAL	57930	6.2	15.9	19.8	Area 9 	
+ProM	29	M98LH	CORONAL	69842	24.8	8.5	1.8	???	
+8l	30	BB272RH	CORONAL	66497	16.9	7.6	16.5	FEF	
+9/46v	31	M116RH	CORONAL	64296	17.9	13.4	13.2	46	
+46d	32	M116LH	CORONAL	57944	8.5	19.8	13.9	46	
+8B	33	M128LH	CORONAL	57165	6.3	18.5	18.8	9	
+10	34	M131LH	CORONAL	51414	3.7	26.9	7	Area 10	
+MT	35	M133LH	CORONAL	51976	21.5	-23.8	6.2	MSTd	border to V4, V4t
+7m	36	M136RH	CORONAL	24054	1.9	-27.1	19.2	Area 23	
+10	37	M136LH	CORONAL	51030	3.5	26.5	6.4	Area 10	
+10	38	M137LH	CORONAL	51414	3.7	26.9	7	Area 10	
+10	39	BB341LH	CORONAL	51414	3.7	26.9	7	Area 10	
diff --git a/multiarea_model/data_multiarea/raw_data/Median_Distances_81areas.csv b/multiarea_model/data_multiarea/raw_data/Median_Distances_81areas.csv
new file mode 100644
index 0000000000000000000000000000000000000000..6b110933893d698417a35c1d8ffcfae3cc5a1fa5
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Median_Distances_81areas.csv
@@ -0,0 +1,84 @@
+#Taken from Cocomac database (www.cocomac.org), the distances between any two voxels of two areas is computed, binned in a histogramm and the median of the distribution is taken as the inter-areal distance
+
+	V3	FST	PO	PITd	1	Ri	2	FEF	3a	3b	45	V3A	AUD	MT	13	25	L	RL	Pall	Pro	PaS	TF	AITd	AITv	36	ER	35	MIP	PS	24	TH	23	6	29	7b	STPp	46	S	MSTl	DP	LIP	SMA	MDP	7a	VIP	9	5	4	PIP	V4t	CITv	Ig	V4	PrS	CM	SII	11	32	10	MSTd	12	Id	30	G	PA	14	AI	CA1	PITv	PIR	CITd	VOT	V2	V1	VP	STPa	MW	[???]	[??]	CA3	PAC
+V3	0	28.8270740855	14.6198797098	27.3913078367	33.1709503113	25.1355655881	31.4045449181	49.9844489411	31.3582694694	32.0310794958	54.4038230666	8.1395887285	27.749612948	15.9317644398	50.2260194569	49.8158647194	34.1387780997	35.1470454026	44.8830613035	46.7312930885	33.3798293482	27.4156026722	43.3048139432	41.1430417978	46.3825608325	45.9465103446	50.7733539768	16.8659797194	19.9693297226	37.8820773197	27.5233429157	24.6801863015	44.8784922587	19.6781022054	27.2715822841	31.6863797714	55.8924498335	32.6259262113	22.5914109724	15.0868380972	19.3096593178	40.6233662392	21.9668338797	19.8713932254	18.0693321232	55.3872540842	25.2621375163	38.0187322835	10.6321589902	17.0038254859	36.0372523303	36.5082609145	18.5240177597	30.554314692	27.9104866377	34.5230510156	52.8583763807	56.6919803762	61.7594291765	19.4118126739	52.4555109226	40.6001731416	17.6727661003	44.9584026931	31.9661309904	56.1274023959	27.7970358429	31.738157251	30.3581734148	45.6961610774	34.3053173156	26.9280027405	17.8342937112	14.5536901615	20.8180996949	40.2417049492	nan	nan	nan	34.6742082746	42.8223344978
+FST	28.8270740855	0	29.7746530402	10.9382834484	25.674239452	15.0628680956	24.9078089605	30.4858132897	23.6428925816	24.1320574191	32.5832450817	25.5810478817	14.0612700453	14.1700382029	28.0452851475	29.6344463889	8.6916796407	8.6085245239	22.6373991392	22.5842047014	15.6919771732	12.7150607706	15.5171926085	14.3434658067	18.9768738372	20.9783121877	23.0880723604	30.5996936442	14.0288114863	28.5221116705	14.5631618824	28.0558184837	29.7427533239	20.995245256	21.4840981935	12.3545727333	35.9803326573	12.4904566804	8.7663694517	29.6329023026	26.2497978041	31.3903639742	34.2015219601	24.7054939569	23.8093813805	38.7773668108	27.6568831929	27.5937682901	24.5576067223	15.7061458128	11.8374536739	11.9323711314	19.1752828406	14.3482286358	9.8930704498	18.4679188288	30.6888077329	36.9274471833	41.9445130595	16.5308212623	30.0254129258	17.3324707282	25.7136207927	22.2140330713	9.8381124165	35.3814818588	9.4490954963	10.3153365475	11.1757905525	19.8078408233	9.0368998112	12.8113390136	28.8822800596	33.689975325	20.2685925416	12.1620902089	nan	nan	nan	9.8981562067	18.9509262854
+PO	14.6198797098	29.7746530402	0	30.6022812036	31.8825702147	25.7022412195	30.016608249	47.9426400739	26.9545348332	29.6225206944	52.934475968	14.9705058178	29.0848451149	19.0678352327	47.1608972788	45.9608108088	34.8783881158	35.7016288103	41.6220934707	44.6796153176	32.2470896545	27.9912038064	43.8566311968	41.4001733787	45.9394168879	44.4758425949	49.6396884291	6.8937571535	17.5675989424	32.8826160327	26.1913164222	16.4452793114	42.2744610336	13.6581803185	28.0177397738	32.9146839359	53.3325788846	31.7794501659	24.0130735042	18.9046529628	19.4870867468	36.1815336494	10.0291207541	20.9237719928	15.9975831036	51.8173909398	17.4264208626	35.4276008209	9.4822555021	21.2798871676	37.6028837175	36.8239407868	24.5549073487	29.5197923949	29.059665573	34.830319758	50.3350488799	52.5737227133	58.1183225308	20.5570622845	50.6300512403	40.2326425171	8.6285525461	44.4749520754	32.2997795906	52.2417884006	28.2427134618	31.4365702524	32.9399670266	43.7797693051	35.8888995972	29.9952946595	23.8082959291	21.460555904	25.2434895376	40.3775988419	nan	nan	nan	34.3490226375	40.4993213511
+PITd	27.3913078367	10.9382834484	30.6022812036	0	32.5572163051	20.6214671946	31.051395653	39.898549865	30.5340102061	31.0681607419	42.3971872085	23.5457010493	20.8020346402	13.1022767764	37.6458639533	38.7161383635	18.2001474211	18.1342750694	32.14379311	31.9849531418	21.1429968425	15.7569201985	19.7155651136	19.0780493199	26.0389763733	28.7426403766	30.5067169581	31.4025732944	18.151072471	35.4134050424	19.1737770454	31.5458031035	38.0583074961	24.7219433	26.2226101108	20.2160048425	45.3772915018	18.0947840884	12.0770073113	28.2458290677	27.9902573556	38.6471132996	35.9054162556	26.4735400554	25.660068342	47.8651106857	30.7500067236	34.9537869572	24.8218795289	11.6365606066	12.6766317785	21.5275062038	14.1272227945	19.438342455	16.8774482146	26.4891501993	40.4152026422	46.366262313	51.0431960687	18.6736219167	39.8843080057	26.9482391666	28.2493416661	31.7634999413	18.6214061586	44.9862123999	16.8578912069	16.0973255608	8.266677361	28.7432866663	10.3543842475	8.5821308855	27.3110914098	31.5661778981	17.8274055259	20.2189297505	nan	nan	nan	17.186385775	27.7969530443
+1	33.1709503113	25.674239452	31.8825702147	32.5572163051	0	13.5426395892	11.5923662041	28.8751942979	13.516447927	11.7869505159	32.2729247139	29.4531103103	23.9057215668	24.7979943135	32.0591540955	33.595932895	25.2055069356	23.924912693	30.3287759374	29.3367743247	37.5501033369	33.3149908872	37.167770281	36.8831511459	38.0169722448	38.9152481419	39.6677610043	28.4589406301	26.1629246085	23.8756351974	32.8316018757	21.3222040264	24.9827313047	27.0804168695	14.2502836829	27.5433350374	34.7770908567	34.7470196136	22.4492562255	28.627005587	22.1914930083	23.6535918768	28.7097209601	22.3532780324	20.4805071429	34.6043029129	17.342305449	18.6256562876	27.4099141009	27.5222030907	35.6213399945	20.9124765065	33.2663167778	35.5658028557	20.2754984307	15.1658502943	32.1144088283	38.1840616642	41.3926644488	21.4979709093	31.0174529607	20.3208873963	27.8831955232	23.3291684793	18.2997257535	37.675412253	18.3673142874	32.609311664	34.2898255141	32.3387788097	33.603163502	34.3010146403	39.6266599505	41.3164139401	36.8910552466	31.2096664797	nan	nan	nan	31.8764643157	33.7940897784
+Ri	25.1355655881	15.0628680956	25.7022412195	20.6214671946	13.5426395892	0	12.1536930708	26.7713041183	13.1965038342	12.9117928524	30.6913445915	21.2109783424	12.9368621014	14.3809332103	28.6488455401	29.6147832165	16.1379457885	16.157836207	25.030619047	25.0427330334	27.1073679407	22.0767687578	29.0025443907	28.0336876393	30.2370579226	30.9353026148	32.9907878428	24.5546537709	16.0563742247	20.2865741242	21.7433838946	19.4115892348	23.0637341025	19.1365980505	7.9604402935	16.5266225536	32.812074527	24.9409935913	10.6644070312	22.4920377249	15.5897497393	22.6779335849	27.2034352473	15.2663742214	14.6687688012	33.7249702694	18.2240344924	18.5027803723	19.4398316561	16.6387592639	25.5781558663	14.9887696403	22.5437626897	24.3821911209	9.5699162387	10.2849577487	30.0906659639	35.5608060265	39.5996942563	11.3834077757	28.7835549734	17.0961182542	21.6760653477	20.7554944285	10.9737995998	34.7494518613	7.7206079573	22.5992079126	22.9397459832	26.4035165838	22.6693466661	22.6044901365	30.0513707167	32.5108205398	25.6557326913	23.5119074468	nan	nan	nan	22.3752633409	26.0248335995
+2	31.4045449181	24.9078089605	30.016608249	31.051395653	11.5923662041	12.1536930708	0	29.864699306	13.4852354708	11.7207825795	33.4779295894	27.5408885575	22.5452631181	22.9755150305	33.330013842	34.6054672245	25.1150561599	24.1142568554	31.3518141858	30.6257309215	36.566287448	31.9850033727	37.3206665831	36.7926838602	38.2869222587	39.2376998011	40.3366652653	26.628101474	24.8265035717	23.5401455748	31.352131204	19.991006345	25.6642335453	25.44694304	12.4707060184	26.4387670582	35.7745883444	34.0980285591	20.8044386143	26.8996148751	20.2437774036	23.7941617268	26.9309790937	20.4131125003	18.4269772131	35.4531308857	15.5561419463	18.979916096	25.0553593551	25.6596176321	35.109762305	21.5411150572	31.2392697433	33.944686156	19.4466077132	15.7297571275	33.5165544796	39.1639842805	42.3605642772	19.5155048954	32.3182639797	21.587710762	26.0266099738	24.4530617531	18.4274252308	38.7805626917	17.644482019	31.971430546	33.3187768629	33.2399815304	32.8129750843	32.9720581903	37.6805685509	39.228873825	35.0330796588	31.5426662997	nan	nan	nan	31.4935492233	34.1980749086
+FEF	49.9844489411	30.4858132897	47.9426400739	39.898549865	28.8751942979	26.7713041183	29.864699306	0	25.9932220567	26.8504168863	10.4568263762	45.8452781696	32.327997632	37.9156104951	16.3476981695	19.4131248076	27.6176708202	24.6373512849	20.393682333	17.6201627114	40.1687553942	39.88895397	35.2149555009	36.5420726617	33.445085658	33.6499563465	32.6065450154	45.3591149893	36.4276456957	19.3852632316	39.8067531554	35.8989452432	12.0220670607	38.470077015	29.9642556192	33.3202028202	11.1954304364	37.0276558891	32.441980428	46.2143418237	39.0448726004	18.7342005657	46.7368014302	39.3970127527	36.7632191817	13.6490264932	37.4791123242	20.9892397033	42.8694451502	40.3128338013	38.719457147	20.2535204268	45.7973613706	38.1804306378	28.0887772873	20.7494886378	13.0017450129	18.5778604101	18.6209771161	36.406999026	11.1584457022	14.5776589256	41.9270530256	14.3046031461	22.2129910261	18.4126329094	25.3212667097	35.1710982553	40.4969275891	24.4790027891	36.4524382903	42.0932888134	53.9188431598	57.1438756585	48.2978981669	29.309133257	nan	nan	nan	33.2306634868	27.9987594919
+3a	31.3582694694	23.6428925816	26.9545348332	30.5340102061	13.516447927	13.1965038342	13.4852354708	25.9932220567	0	11.9225010666	31.5676997242	27.3838995376	21.7601279839	23.0416592354	30.2480187982	29.77760693	24.2140908816	23.530796318	28.2062051481	28.8701898299	33.5707535916	30.5453802936	36.4797159968	36.1043068923	37.4405849144	37.1061750119	39.4700711079	23.4324079166	23.5234958465	18.1279569437	30.4258108153	16.3391295922	20.598467415	23.3159096534	15.3375228419	25.1752195869	31.2552952656	31.2755528564	20.5363791929	26.461120176	20.9131257115	17.3207892517	23.2217582405	21.6631219358	18.0269947537	29.4206479697	14.8191772474	13.854901614	24.469401427	25.7252641999	33.940964416	21.4849867668	31.0745335128	31.5420113742	18.0817838473	17.3154414367	30.9867694242	33.8610582266	37.0474046297	20.2910529123	30.1811354487	21.7998976612	23.1583488716	25.2278070164	18.0667036761	34.0873438042	16.1775339355	29.2471501202	31.7673510893	31.3504925195	31.3387756583	31.8970657223	37.6063862957	39.3728069985	35.0290902473	30.9146687837	nan	nan	nan	29.7104551289	31.117192623
+3b	32.0310794958	24.1320574191	29.6225206944	31.0681607419	11.7869505159	12.9117928524	11.7207825795	26.8504168863	11.9225010666	0	30.3076428918	28.2415499227	22.4563902269	23.6029836933	30.0337824747	31.4786676176	23.5083551302	22.012267289	28.1266606986	27.0778973788	35.5043336485	31.8828129	35.4678072396	35.1112403344	36.3228825172	36.9448213941	37.7860338482	26.460631799	24.6697923671	21.5118413741	31.7353640684	19.1826071476	22.8654990017	25.0645258919	13.7292001547	26.0502351408	32.834289849	32.8280704532	21.4519920294	27.2839002331	21.3379418329	21.0831407062	27.1599186248	21.6080145247	19.2786924033	32.4009226766	16.2839489988	16.5037573085	25.9512401321	26.251659035	34.1600417485	18.7855190758	31.8501661586	33.2894360227	18.9997873347	13.8237664072	29.9561907241	36.0283238552	39.3226222705	20.4613855206	29.239188653	18.2581367813	25.3669034589	21.5334186103	16.6466303818	35.655049827	16.751786708	30.6814376256	32.8278236028	30.2988109312	31.8713952024	32.8913396004	38.4240584914	40.2921200248	35.6899798555	29.3398113206	nan	nan	nan	30.1299820654	31.75037842
+45	54.4038230666	32.5832450817	52.934475968	42.3971872085	32.2729247139	30.6913445915	33.4779295894	10.4568263762	31.5676997242	30.3076428918	0	50.4140939785	35.1982518812	41.4457172971	16.4012639928	20.8162888051	29.1880800367	26.089741952	21.2461648503	17.0613225801	41.5440897796	42.2998055837	34.9100572317	36.4859332069	33.0461562472	33.6567853233	31.8357009838	50.5580591461	40.1057145174	25.0506474003	42.3172597735	41.4326081692	17.3264896145	43.1243961531	33.6613131927	35.0833398407	10.2515906413	38.7458905998	35.6712688099	51.0951991321	43.7146186597	24.7674044464	52.2462455544	43.8488610282	41.650147564	17.7281438537	43.0202135417	26.3025144256	47.5462511828	43.8143777398	39.663148455	21.8820650312	49.1995801821	40.0856960349	31.260991402	23.4421768787	11.2060221177	19.0050886339	17.7853526859	40.4694402182	7.2650443153	15.9471975012	46.91216391	13.2683853371	24.853969927	18.566251156	28.5450819627	36.9890197963	42.2638655856	24.2166041079	37.6666089877	44.5282301077	57.797916972	61.3485471781	51.4036739695	29.3865929258	nan	nan	nan	34.5122254232	28.730434804
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+9	55.3872540842	38.7773668108	51.8173909398	47.8651106857	34.6043029129	33.7249702694	35.4531308857	13.6490264932	29.4206479697	32.4009226766	17.7281438537	51.0520384725	39.8001002169	44.5245202462	18.0917565495	19.0375082125	36.4490027347	33.4929473971	23.806518602	22.7927927861	46.3426269858	47.0661380878	42.9009996791	44.3304030641	40.3433580076	39.3480277155	39.2024043779	48.8900579785	42.2660308348	19.6266551256	46.7311208619	38.6167227587	14.5108825875	42.9173427434	36.8181477113	41.3922138674	11.0284841639	44.1689251361	40.0118903528	50.9123550497	44.2497445874	17.3573208471	49.6027225536	44.8940113468	41.3761607709	0	40.4471177498	24.6250631152	47.8626736509	47.1988342538	47.0610110186	29.3381302358	52.5619640159	44.6012991322	35.8765318839	29.2569717758	14.6583648669	14.0824607562	12.3250929536	42.6361957591	15.6314624251	23.829826407	45.6103752722	23.5594817048	30.7287784397	15.2343496699	33.1119506713	42.4175473444	48.6874002682	30.5444841157	44.8569651225	50.1685265622	59.9619305776	62.8893372676	55.6825340608	37.5883140987	nan	nan	nan	40.3610270138	33.1020513877
+5	25.2621375163	27.6568831929	17.4264208626	30.7500067236	17.342305449	18.2240344924	15.5561419463	37.4791123242	14.8191772474	16.2839489988	43.0202135417	21.2258161442	24.2497992554	20.4974570267	39.9243224347	39.0001686943	30.2885590065	30.63041193	36.3126139025	38.0426360161	34.1654664402	30.7671059277	41.764702891	40.4963290742	43.2610375534	42.6220252506	46.3461171099	12.8990810177	20.8106662144	23.1306722869	29.8126998863	10.5690136899	30.9875137716	18.1664732691	19.7799478553	29.0453561855	42.8961859439	33.6271835933	21.6113832625	20.7831076988	16.730421358	24.5927135352	12.0601848841	18.0803798032	13.1727528755	40.4471177498	0	22.2088483936	16.6950919132	22.9684090678	37.3643890757	30.0575587586	27.7282778153	31.6173476425	23.1836283635	26.2881263158	41.6899885231	44.223931591	48.1698423625	18.0157685089	41.4868108942	31.9463352452	15.779066622	35.7762188479	25.8796092063	44.4683654483	21.9829602725	32.3722952509	33.5984818171	39.29880079	34.9083677505	31.9408623098	32.2231320117	32.7650187987	31.4932023268	37.1316283085	nan	nan	nan	33.5153284963	37.3763605846
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+VOT	26.9280027405	12.8113390136	29.9952946595	8.5821308855	34.3010146403	22.6044901365	32.9720581903	42.0932888134	31.8970657223	32.8913396004	44.5282301077	23.3922009205	22.6596061625	13.734884095	39.6755738924	41.1629636443	20.2500026085	20.0659513853	33.8912209415	34.1144876127	20.2276878537	14.35835747	21.567228417	19.5228556695	27.3520498219	29.8392914358	32.14388149	31.0274808189	18.1130090089	37.4905474348	18.0715399707	32.7658270534	40.4398368946	25.077914555	27.9908831288	22.5324058391	47.6945161832	17.4349347461	13.2247386015	28.5482350655	29.0795461755	40.8747987436	36.0139001745	27.825800122	26.6163009025	50.1685265622	31.9408623098	37.2403795057	24.5656700329	12.0573097121	12.9432760506	23.8287039763	13.0997595866	18.8332971642	19.1913201863	28.8703332073	42.4964466695	48.6418934454	53.711067434	19.7457413452	41.7861966014	29.2739758713	28.4612979064	34.1503316801	20.7827729604	47.0719439186	19.0213964899	15.5981855285	7.4351607056	30.4398548559	12.1763695592	0	24.496942268	29.0192363939	12.7894353713	21.8113414876	nan	nan	nan	17.4189653192	29.3747979337
+V2	17.8342937112	28.8822800596	23.8082959291	27.3110914098	39.6266599505	30.0513707167	37.6805685509	53.9188431598	37.6063862957	38.4240584914	57.797916972	18.1788343681	32.0030591169	19.9910761357	52.4841149312	52.0454432694	35.3745198077	35.8771830779	46.6337939436	48.0956866507	31.1051025415	24.8186795472	40.9277819547	38.1902128926	44.0460622557	44.1906996817	48.9696431131	26.005490672	22.3070260106	43.4202022646	26.2679241659	31.9083252714	49.8555317418	25.3797759935	33.2072043181	34.2675661606	59.4547068439	30.5735474353	24.4386209695	24.5532267743	27.5828317614	46.6287132193	30.8357895328	27.5883930915	25.80232664	59.9619305776	32.2231320117	43.6589929682	19.775921619	20.5075843422	33.447904535	38.2652915518	21.172709492	28.8411098944	30.777801271	38.705502165	55.7239491478	59.7300343176	64.648811893	24.4043538464	55.5452679199	43.1357075387	25.24295692	47.7753146102	34.2667696257	58.945379035	30.7813644107	29.898999614	28.0337777193	45.8494073225	32.5319828488	24.496942268	0	17.8644694083	16.1230466865	39.233163187	nan	nan	nan	32.9932096829	42.8873583317
+V1	14.5536901615	33.689975325	21.460555904	31.5661778981	41.3164139401	32.5108205398	39.228873825	57.1438756585	39.3728069985	40.2921200248	61.3485471781	16.807949694	35.3125220256	22.5474229962	56.4960219314	55.8869896138	39.8011714768	40.5272001327	50.8847484596	52.4562816006	35.833878543	29.5560682861	46.3459993771	43.8417951215	49.0937690603	49.1779839793	54.4114633182	24.5124173351	25.8913392668	46.1168219574	30.7551051098	32.3791189158	52.5041487618	26.7220516332	35.1189825418	37.9944569149	62.9168358743	34.9892534019	28.3586439635	23.6553471449	27.7636288244	48.8688116706	29.2080624884	28.2272737756	26.3111921916	62.8893372676	32.7650187987	45.9009931539	18.8088034611	23.1293327593	38.7615239316	42.4989673347	22.9099826645	33.2474166652	34.3596450554	41.7522048977	59.5473247963	63.3580655503	68.277816628	26.7636494454	59.2812872317	47.0565260349	25.0145961182	51.5992518396	38.2838337216	62.7224171945	34.396894617	34.3069291957	32.9290615523	50.8017299518	37.7375897503	29.0192363939	17.8644694083	0	19.8677084582	44.3299708554	nan	nan	nan	37.8208019951	47.6895083955
+VP	20.8180996949	20.2685925416	25.2434895376	17.8274055259	36.8910552466	25.6557326913	35.0330796588	48.2978981669	35.0290902473	35.6899798555	51.4036739695	19.0451007577	26.9347263918	14.8572711638	46.2835298416	46.6763332339	27.5975723942	27.7961917063	40.243472086	41.2239034419	23.8087038466	16.2747964223	31.1942136164	28.2022296637	35.5793034784	36.5685926408	40.37414349	26.923655417	17.264583669	40.5654106467	19.8625127932	31.5566071924	45.2263089944	23.6622192621	30.0725670329	27.6695973307	54.0526497654	22.2470742864	17.4125769303	25.4291503255	27.9535385325	43.9885152853	31.9364987369	27.4422231609	25.5467810133	55.6825340608	31.4932023268	40.664708218	20.1436728151	15.0568416686	22.4359648742	30.7979060361	14.5730112864	21.7797658234	24.2892454413	33.5987599189	49.3712857183	54.5937396798	59.726484528	20.8593489593	48.8875583723	36.1857107594	25.5788408312	40.956594279	27.2718045374	53.3474946613	24.4510350438	20.6213604996	16.7974374146	38.1942656451	22.0242825442	12.7894353713	16.1230466865	19.8677084582	0	30.2094757984	nan	nan	nan	24.072157749	35.7631430454
+STPa	40.2417049492	12.1620902089	40.3775988419	20.2189297505	31.2096664797	23.5119074468	31.5426662997	29.309133257	30.9146687837	29.3398113206	29.3865929258	37.051039829	20.7438159931	25.4539990677	23.7082308621	26.3501496509	10.6467130019	9.1357699351	19.1094483089	17.4987521144	17.0910997043	18.9813374957	10.1958993657	10.6823789394	11.5405219468	14.8033376392	13.8921898168	40.9623997792	23.8839541051	32.2019040233	20.6513824966	36.9556206896	31.4445948977	30.2193050433	29.8150050229	15.9807751188	33.0825815159	14.9771593293	19.823342246	40.8929244777	36.2373348873	34.8115161565	44.4742473866	35.3226646295	33.6051844158	37.5883140987	37.1316283085	31.945988481	35.3037777768	27.0028577553	13.8156912126	12.3145138385	30.020924146	17.7834175394	17.5796964172	21.6955884309	26.447479743	33.382632239	38.2853606649	27.2764428211	26.0080182617	15.9391834501	35.2582156997	20.0299460968	14.2003599626	31.4749212005	16.9901592054	13.7746470843	18.3855784573	13.0895160886	12.4033225899	21.8113414876	39.233163187	44.3299708554	30.2094757984	0	nan	nan	nan	10.950265916	14.3740253039
+MW	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
+[???]	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
+[??]	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
+CA3	34.6742082746	9.8981562067	34.3490226375	17.186385775	31.8764643157	22.3752633409	31.4935492233	33.2306634868	29.7104551289	30.1299820654	34.5122254232	32.16899069	20.8236750861	21.4413195813	26.755795011	27.3880755405	13.9952174019	12.8744849181	20.5523742144	21.0786424057	9.6941877934	11.5069905968	12.5980205383	10.2489801674	13.5967357825	13.2267933332	17.1391796203	35.4231501783	17.7077299932	30.9325498708	12.3410680612	32.6067148589	33.5571705455	24.3608519035	28.790138569	18.5106512956	37.0307860979	7.9625154642	16.858963841	36.3739980979	33.1689073969	34.8921206775	39.3902141683	32.4338059093	29.7535565964	40.3610270138	33.5153284963	32.6694463386	29.933794889	22.9124936538	12.1656070157	16.5478335533	25.8150660005	9.8949949909	17.8831707173	23.9400873929	30.4752087298	35.566547587	41.1386939151	24.1267599877	30.940921428	20.3788014538	29.450109069	24.8537637469	16.1829777518	34.1594899354	16.8711638865	7.4676459738	14.6795804	16.1754553109	11.3961377356	17.4189653192	32.9932096829	37.8208019951	24.072157749	10.950265916	nan	nan	nan	0	13.4472691484
+PAC	42.8223344978	18.9509262854	40.4993213511	27.7969530443	33.7940897784	26.0248335995	34.1980749086	27.9987594919	31.117192623	31.75037842	28.730434804	39.898386401	27.2392249116	29.6745193729	17.6504032727	18.119711974	19.6263878289	17.0298387988	10.5950757027	12.997196478	16.0727474647	23.1163397497	16.9632013194	17.0659885633	13.8298611487	8.9861004176	13.2248523917	40.6831710428	24.5985468737	27.7427009784	21.9633129865	35.1726845895	28.5055016998	29.215685545	32.4288103664	25.1295286877	29.9201748138	16.789578608	25.0364130185	42.6796234586	38.05208372	31.324565758	43.5579777562	38.2080199845	34.4247178551	33.1020513877	37.3763605846	31.8043455083	36.3071194725	31.9089245608	22.1015295228	17.9886669864	35.952453872	18.136161088	23.5319437766	24.2506738312	22.1582456885	26.3319130655	32.4087409253	31.4385406724	24.2534797565	18.4716256444	34.2456396564	20.5978186974	19.2193655507	24.8186135649	21.2575326701	17.3349505511	26.6480598998	7.4181931769	21.1230863869	29.3747979337	42.8873583317	47.6895083955	35.7631430454	14.3740253039	nan	nan	nan	13.4472691484	0
diff --git a/multiarea_model/data_multiarea/raw_data/NeuronalDensities_NeuN.csv b/multiarea_model/data_multiarea/raw_data/NeuronalDensities_NeuN.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9b4e0a896671bd28cbb800a1dd010e7d496e51a5
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/NeuronalDensities_NeuN.csv
@@ -0,0 +1,16 @@
+# Neuronal densities from Barbas Lab. Overall densities (1st column) are presented in Table 4 of Hilgetag, C. C., Medalla, M., Beul, S. F., & Barbas, H. (2015). The primate connectome in context: Principles of connections of the cortical visual system. NeuroImage, 134, 685–702. https://doi.org/10.1016/j.neuroimage.2016.04.017
+
+V1	161365.313353296	19427.7514309175	153894.970495772	11237.0785022221	179088.958685915	19483.3411458588	139272.680066401	28642.7198414341
+V2	97618.8004262742	6318.4209238154	92913.7502053809	9168.7044437395	180488.12639129	15599.6221210207	78810.1380340474	5788.3313934117
+V4	71236.5276327589	7947.590257791	67154.5446596756	5803.6225683117	167188.428539576	26194.6145324879	56752.2320613314	10570.4766493826
+MT	65991.5887115086	6996.5656738783	67044.2266724167	5773.2854729385	121372.429209652	5958.4564687061	50507.6146086331	9182.4918445723
+TEO	63271.1025249173	7263.1015279643	56057.260207707	6168.8769518766	153600.74824572	26717.1840533565	57071.8248578393	6982.2666533817
+V3A	61381.5412392137	6202.963723809	58305.5035933036	4035.9619344902	109843.719889781	22376.7397541261	50647.3572613343	5259.7123097559
+LIP	52134.5731946242	4491.9762527831	50703.2775227163	4603.3939842453	90334.8968775757	8221.417134307	43926.0361437937	4960.2985281281
+Opt/DP	48015.1995568109	5932.0962970323	45758.1365355312	4678.0990750539	86467.4698480542	12137.3808972281	41725.5532649263	6548.0941769156
+TF	46083.8963535136	2697.6987375072	44164.6081343695	492.0978572682	88810.1652976761	2904.792305899	40653.2604320568	8573.9510135437
+FEF	44977.7691582594	1147.4075861589	45284.2708812591	3025.5401968487	68733.783030714	1368.1732105009	39382.0621828807	1175.1024421689
+Te1	38839.7460239597	4018.9831766332	36312.629019575	3798.0977648742	84833.0161404169	20492.3782565057	36379.5587038022	6385.8472725441
+area 46v	38026.8136272429	4185.5590572311	34625.8382448048	3028.1656500057	59774.256849191	9644.0789780673	36192.0308636869	4420.3808841888
+7a	36229.994135607	2214.8748387887	35064.7353890857	2945.3862132917	64711.115816133	8419.739423376	31239.53369249	1451.8383374224
+TH	33196.1450004882	4032.662630167	32778.5191185925	5269.5723764642	0	0	33814.8407473548	2994.3319115364
diff --git a/multiarea_model/data_multiarea/raw_data/NeuronalDensities_Nissl.csv b/multiarea_model/data_multiarea/raw_data/NeuronalDensities_Nissl.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d5195bb3651af731424108e2c41b130972657266
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/NeuronalDensities_Nissl.csv
@@ -0,0 +1,43 @@
+# Neuronal density data obtained with Nissl staining, providede by Helen Barbas (personal communication)
+
+V1,8,173360,1.24
+V2,7,111730,1.46
+V3,7,—,—
+VP,7,—,—
+TEO,6,78523,2.13
+V3A,6,76696,1.66
+V4,6,86223,1.89
+V4t,6,—,—
+V5/MT,6,81153,1.96
+VOT,6,—,—
+A8,5,60837,2.21
+CIT,5,—,—
+DP,5,—,—
+FEF,5,—,—
+LIPd,5,61087,2.3
+LIPv,5,69275,2.3
+MST,5,—,—
+PIP,5,—,—
+PIT,5,—,—
+PO,5,—,—
+TEc,5,—,—
+TF,5,61906,1.62
+VIP,5,—,—
+A36,4,50074,2.93
+A46v,4,52720,1.86
+A7a,4,52379,2.68
+AIT,4,—,—
+FST,4,—,—
+STP,4,—,—
+TEr,4,54902,2.63
+A11 rostral,3,53874,1.62
+A12 lateral,3,—,—
+A12 rostral,3,50570,2.25
+MVisPro,2,—,—
+OPro,2,40136,2.5
+TH,2,49446,1.87
+VPolePro,2,—,—
+OPAll/OPro,1.5,39607,—
+A28,1,40825,2.05
+A35,1,40313,1.6
+ER,1,—,—
diff --git a/multiarea_model/data_multiarea/raw_data/Numbers_V1.csv b/multiarea_model/data_multiarea/raw_data/Numbers_V1.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a7124d1d096c506e16b90a9d3775277b608b8bef
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Numbers_V1.csv
@@ -0,0 +1,11 @@
+# Data from Potjans, T. C., & Diesmann, M. (2014). The cell-type specific cortical microcircuit: Relating structure and activity in a full-scale spiking network model. Cerebral Cortex, 24(3), 785–806. https://doi.org/10.1093/cercor/bhs358
+														
+23E	20683	1600												
+23I	5834	1500												
+4E	21915	2100												
+4I	5479	1900												
+5E	4850	2000												
+5I	1065	1900												
+6E	14395	2900												
+6I	2948	2100												
+Th	902	0
\ No newline at end of file
diff --git a/multiarea_model/data_multiarea/raw_data/RData_prepared_logdensities.txt b/multiarea_model/data_multiarea/raw_data/RData_prepared_logdensities.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e4e522c7a42ef33962eb17aefbbfd1ec2fbb9eae
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/RData_prepared_logdensities.txt
@@ -0,0 +1,191 @@
+# Data from Markov, N. T. et al (2014). Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex. The Journal of Comparative Neurology, 522(1), 225–59. https://doi.org/10.1002/cne.23458
+
+TO FROM S I TOT DIST DENS Monkey lFLN SLN INJ FLN cSLN 
+228 MT V1 11360 1397 12757 12.5 -0.7590340 M133LH -1.7213724 0.89049149 MT.M133LH 0.01899448 0.39049149
+229 MT V2 75554 4679 80233 13.6 -0.3197489 M133LH -0.9227680 0.94168235 MT.M133LH 0.11946260 0.44168235
+230 MT V3 30730 3552 34282 11 -0.3197489 M133LH -1.2920548 0.89638877 MT.M133LH 0.05104404 0.39638877
+231 MT V3A 19434 3076 22510 8 0.05648670 M133LH -1.4747455 0.86334962 MT.M133LH 0.03351617 0.36334962
+232 MT V4 157420 98416 255836 9.4 -0.0606007 M133LH -0.4191593 0.61531606 MT.M133LH 0.38092600 0.11531606
+235 MT 7A 201 103 304 18.8 0.42911665 M133LH -3.3442474 0.66118421 MT.M133LH 0.00045263 0.16118421
+236 MT LIP 8126 7232 15358 13.2 0.15825217 M133LH -1.6407863 0.52910535 MT.M133LH 0.02286723 0.02910535
+240 MT DP 8240 1596 9836 15.6 0.24116266 M133LH -1.8343025 0.83773891 MT.M133LH 0.01464527 0.33773891
+244 MT STPc 60 1136 1196 19 0.35417007 M133LH -2.7493898 0.05016722 MT.M133LH 0.00178077 -0.4498327
+248 MT FST 11876 29668 41544 8.9 0.41244385 M133LH -1.2086127 0.28586558 MT.M133LH 0.06185677 -0.2141344
+249 MT MST 721 3136 3857 16.2 0.29058445 M133LH -2.2408713 0.18693284 MT.M133LH 0.00574286 -0.3130671
+250 MT TEO 8536 17120 25656 9.7 -0.0261737 M133LH -1.4179320 0.33270969 MT.M133LH 0.03820040 -0.1672903
+255 MT TEpd 1892 7210 9102 16.6 0.27694801 M133LH -1.8679842 0.20786640 MT.M133LH 0.01355238 -0.2921335
+259 MT TH/TF 1044 5278 6322 14.3 0.32588601 M133LH -2.0262665 0.16513761 MT.M133LH 0.00941311 -0.3348623
+281 MT 8l 1028 500 1528 31.8 0.28837606 M133LH -2.6429976 0.67277486 MT.M133LH 0.00227510 0.17277486
+282 MT 8m 172 250 422 31.7 0.28837606 M133LH -3.2018085 0.40758293 MT.M133LH 0.00062833 -0.0924170
+351 TEO V2 3597 242 3839 12.2 -0.2935752 M119LH -1.6087951 0.93696275 TEO.M119LH 0.02461528 0.43696275
+352 TEO V3 16083 3006 19089 11.3 -0.2935752 M119LH -0.9122300 0.84252710 TEO.M119LH 0.12239676 0.34252710
+353 TEO V3A 26 51 77 15.3 0.08266046 M119LH -3.3065225 0.33766233 TEO.M119LH 0.00049371 -0.1623376
+354 TEO V4 26501 13405 39906 9.8 -0.0344269 M119LH -0.5919750 0.66408560 TEO.M119LH 0.25587330 0.16408560
+356 TEO 7A 0 72 72 24.6 0.45529041 M119LH -3.3356807 0 TEO.M119LH 0.00046165 -0.5
+358 TEO LIP 380 852 1232 20.8 0.18442593 M119LH -2.1024025 0.30844155 TEO.M119LH 0.00789946 -0.1915584
+361 TEO DP 48 134 182 21.3 0.26733642 M119LH -2.9329418 0.26373626 TEO.M119LH 0.00116696 -0.2362637
+366 TEO STPc 0 3 3 24.8 0.38034383 M119LH -4.7158919 0 TEO.M119LH 1.92357014 -0.5
+369 TEO FST 4046 6832 10878 7.2 0.43861761 M119LH -1.1564641 0.37194337 TEO.M119LH 0.06974865 -0.1280566
+370 TEO MST 0 91 91 23.1 0.31675821 M119LH -3.2339718 0 TEO.M119LH 0.00058348 -0.5
+371 TEO MT 1614 2191 3805 9.7 0.02617375 M119LH -1.6126585 0.42417871 TEO.M119LH 0.02439728 -0.0758212
+376 TEO TEpd 12615 23462 36077 10.7 0.30312177 M119LH -0.6357828 0.34966876 TEO.M119LH 0.23132213 -0.1503312
+381 TEO TH/TF 54 2222 2276 14.2 0.35205977 M119LH -1.8358409 0.02372583 TEO.M119LH 0.01459348 -0.4762741
+405 TEO 8l 711 238 949 32.3 0.31454982 M119LH -2.2157470 0.74920969 TEO.M119LH 0.00608489 0.24920969
+469 V1 V2 8637 18725 27362 9.3 0.43928511 M88RH -1.3302136 0.31565675 V1.M88RH 0.75137302 -0.1843432
+470 V1 V3 0 136 136 4.5 0.43928511 M88RH -3.6338225 0 V1.M88RH 0.00373462 -0.5
+471 V1 V3A 0 190 190 10.5 0.81552080 M88RH -3.4886078 0 V1.M88RH 0.00521748 -0.5
+472 V1 V4 388 2218 2606 14.8 0.69843339 M88RH -2.3513870 0.14888718 V1.M88RH 0.07156195 -0.3511128
+475 V1 LIP 0 56 56 22.7 0.91728626 M88RH -4.0191734 0 V1.M88RH 0.00153778 -0.5
+477 V1 DP 0 29 29 16.5 1.00019675 M88RH -4.3049634 0 V1.M88RH 0.00079635 -0.5
+479 V1 STPc 3 62 65 29.5 1.11320417 M88RH -3.9544481 0.04615384 V1.M88RH 0.00178492 -0.4538461
+483 V1 FST 0 368 368 16.7 1.17147795 M88RH -3.2015136 0 V1.M88RH 0.01010544 -0.5
+484 V1 MST 0 251 251 23.2 1.04961855 M88RH -3.3676877 0 V1.M88RH 0.00689257 -0.5
+485 V1 MT 279 2571 2850 12.5 0.75903409 M88RH -2.3125165 0.09789473 V1.M88RH 0.07826230 -0.4021052
+486 V1 TEO 24 911 935 14.9 0.73286033 M88RH -2.7965498 0.02566844 V1.M88RH 0.02567552 -0.4743315
+491 V1 TEpd 0 224 224 25.5 1.03598210 M88RH -3.4171134 0 V1.M88RH 0.00615114 -0.5
+495 V1 TH/TF 0 228 228 24.4 1.08492011 M88RH -3.4094266 0 V1.M88RH 0.00626098 -0.5
+500 V1 8l 0 6 6 45.6 1.04741016 M88RH -4.9892102 0 V1.M88RH 0.00016476 -0.5
+501 V1 V2 65943 75360 141303 9.3 0.43928511 M85RH -0.6172100 0.46667798 V1.M85RH 0.70805501 -0.0333220
+502 V1 V3 68 1293 1361 4.5 0.43928511 M85RH -2.6335033 0.04996326 V1.M85RH 0.00681983 -0.4500367
+503 V1 V3A 2 312 314 10.5 0.81552080 M85RH -3.2704318 0.00636942 V1.M85RH 0.00157342 -0.4936305
+504 V1 V4 11402 18726 30128 14.8 0.69843339 M85RH -1.2883911 0.37845193 V1.M85RH 0.15096835 -0.1215480
+506 V1 LIP 0 190 190 22.7 0.91728626 M85RH -3.4886078 0 V1.M85RH 0.00095207 -0.5
+508 V1 DP 2 99 101 16.5 1.00019675 M85RH -3.7630400 0.01980198 V1.M85RH 0.00050610 -0.4801980
+511 V1 STPc 34 353 387 29.5 1.11320417 M85RH -3.1796504 0.08785529 V1.M85RH 0.00193921 -0.4121447
+514 V1 FST 92 1640 1732 16.7 1.17147795 M85RH -2.5288135 0.05311778 V1.M85RH 0.00867887 -0.4468822
+515 V1 MST 36 1262 1298 23.2 1.04961855 M85RH -2.6540867 0.02773497 V1.M85RH 0.00650414 -0.4722650
+516 V1 MT 2572 7872 10444 12.5 0.75903409 M85RH -1.7484945 0.24626579 V1.M85RH 0.05233382 -0.2537342
+517 V1 TEO 933 6689 7622 14.9 0.73286033 M85RH -1.8852925 0.12240881 V1.M85RH 0.03819306 -0.3775911
+522 V1 TEpd 13 800 813 25.5 1.03598210 M85RH -2.8572709 0.01599015 V1.M85RH 0.00407386 -0.4840098
+526 V1 TH/TF 9 685 694 24.4 1.08492011 M85RH -2.9260019 0.01296829 V1.M85RH 0.00347756 -0.4870317
+531 V1 8l 16 49 65 45.6 1.04741016 M85RH -3.9544481 0.24615384 V1.M85RH 0.00032570 -0.2538461
+532 V1 V2 51822 53242 105064 9.3 0.43928511 M85LH -0.7459075 0.49324221 V1.M85LH 0.75233798 -0.0067577
+533 V1 V3 26 847 873 4.5 0.43928511 M85LH -2.8263472 0.02978235 V1.M85LH 0.00625134 -0.4702176
+534 V1 V3A 0 186 186 10.5 0.81552080 M85LH -3.4978485 0 V1.M85LH 0.00133190 -0.5
+535 V1 V4 4851 8410 13261 14.8 0.69843339 M85LH -1.6447851 0.36580951 V1.M85LH 0.09495882 -0.1341904
+537 V1 LIP 0 125 125 22.7 0.91728626 M85LH -3.6704514 0 V1.M85LH 0.00089509 -0.5
+539 V1 DP 0 110 110 16.5 1.00019675 M85LH -3.7259687 0 V1.M85LH 0.00078768 -0.5
+542 V1 STPc 5 236 241 29.5 1.11320417 M85LH -3.3853444 0.02074688 V1.M85LH 0.00172574 -0.4792531
+545 V1 FST 15 1057 1072 16.7 1.17147795 M85LH -2.7371666 0.01399253 V1.M85LH 0.00767633 -0.4860074
+546 V1 MST 10 604 614 23.2 1.04961855 M85LH -2.9791930 0.01628664 V1.M85LH 0.00439670 -0.4837133
+547 V1 MT 2242 5040 7282 12.5 0.75903409 M85LH -1.9051107 0.30788244 V1.M85LH 0.05214464 -0.1921175
+548 V1 TEO 784 4649 5433 14.9 0.73286033 M85LH -2.0323217 0.14430333 V1.M85LH 0.03890440 -0.3556966
+553 V1 TEpd 14 685 699 25.5 1.03598210 M85LH -2.9228842 0.02002861 V1.M85LH 0.00500537 -0.4799713
+557 V1 TH/TF 12 720 732 24.4 1.08492011 M85LH -2.9028503 0.01639344 V1.M85LH 0.00524167 -0.4836065
+560 V1 8l 2 15 17 45.6 1.04741016 M85LH -4.5369125 0.11764705 V1.M85LH 0.00012173 -0.3823529
+561 V1 V2 29516 56616 86132 9.3 0.43928511 M81LH -0.8321969 0.34268332 V1.M81LH 0.76599907 -0.1573166
+562 V1 V3 7 922 929 4.5 0.43928511 M81LH -2.7993457 0.00753498 V1.M81LH 0.00826189 -0.4924650
+563 V1 V3A 0 163 163 10.5 0.81552080 M81LH -3.5551738 0 V1.M81LH 0.00144961 -0.5
+564 V1 V4 1737 11434 13171 14.8 0.69843339 M81LH -1.6477427 0.13188064 V1.M81LH 0.11713386 -0.3681193
+566 V1 LIP 1 127 128 22.7 0.91728626 M81LH -3.6601514 0.0078125 V1.M81LH 0.00113834 -0.4921875
+568 V1 DP 0 20 20 16.5 1.00019675 M81LH -4.4663314 0 V1.M81LH 0.00017786 -0.5
+571 V1 STPc 0 141 141 29.5 1.11320417 M81LH -3.6181423 0 V1.M81LH 0.00125395 -0.5
+574 V1 FST 2 498 500 16.7 1.17147795 M81LH -3.0683914 0.004 V1.M81LH 0.00444665 -0.496
+575 V1 MST 0 1480 1480 23.2 1.04961855 M81LH -2.5970997 0 V1.M81LH 0.01316210 -0.5
+576 V1 MT 496 6194 6690 12.5 0.75903409 M81LH -1.9419353 0.07414050 V1.M81LH 0.05949628 -0.4258594
+577 V1 TEO 0 846 846 14.9 0.73286033 M81LH -2.8399910 0 V1.M81LH 0.00752374 -0.5
+582 V1 TEpd 2 181 183 25.5 1.03598210 M81LH -3.5049103 0.01092896 V1.M81LH 0.00162747 -0.4890710
+586 V1 TH/TF 0 396 396 24.4 1.08492011 M81LH -3.1696662 0 V1.M81LH 0.00352175 -0.5
+590 V1 8l 2 14 16 45.6 1.04741016 M81LH -4.5632414 0.125 V1.M81LH 0.00014229 -0.375
+592 V1 V2 32247 34144 66391 9.3 0.43928511 M121RH -0.9452522 0.48571342 V1.M121RH 0.68302092 -0.0142865
+593 V1 V3 228 692 920 4.5 0.43928511 M121RH -2.8035736 0.24782608 V1.M121RH 0.00946482 -0.2521739
+594 V1 V3A 2 128 130 10.5 0.81552080 M121RH -3.6534181 0.01538461 V1.M121RH 0.00133742 -0.4846153
+595 V1 V4 9075 10757 19832 14.8 0.69843339 M121RH -1.4699949 0.45759378 V1.M121RH 0.20402872 -0.0424062
+597 V1 LIP 7 179 186 22.7 0.91728626 M121RH -3.4978485 0.03763440 V1.M121RH 0.00191354 -0.4623655
+599 V1 DP 0 18 18 16.5 1.00019675 M121RH -4.5120889 0 V1.M121RH 0.00018518 -0.5
+601 V1 STPc 4 148 152 29.5 1.11320417 M121RH -3.5855178 0.02631578 V1.M121RH 0.00156375 -0.4736842
+604 V1 FST 22 634 656 16.7 1.17147795 M121RH -2.9504576 0.03353658 V1.M121RH 0.00674883 -0.4664634
+605 V1 MST 0 186 186 23.2 1.04961855 M121RH -3.4978485 0 V1.M121RH 0.00191354 -0.5
+606 V1 MT 708 4349 5057 12.5 0.75903409 M121RH -2.0634685 0.14000395 V1.M121RH 0.05202567 -0.3599960
+607 V1 TEO 454 1964 2418 14.9 0.73286033 M121RH -2.3839051 0.18775847 V1.M121RH 0.02487603 -0.3122415
+612 V1 TEpd 7 119 126 25.5 1.03598210 M121RH -3.6669909 0.05555555 V1.M121RH 0.00129626 -0.4444444
+616 V1 TH/TF 0 132 132 24.4 1.08492011 M121RH -3.6467875 0 V1.M121RH 0.00135799 -0.5
+618 V1 8l 1 30 31 45.6 1.04741016 M121RH -4.2759997 0.03225806 V1.M121RH 0.00031892 -0.4677419
+619 V2 V1 182752 79527 262279 9.3 -0.4392851 M101LH -0.4787420 0.69678472 V2.M101LH 0.73252878 0.19678472
+620 V2 V3 4414 9887 14301 10.2 0.0 M101LH -1.7421391 0.30864974 V2.M101LH 0.03994179 -0.1913502
+621 V2 V3A 0 399 399 14.9 0.37623569 M101LH -3.2965326 0 V2.M101LH 0.00111438 -0.5
+622 V2 V4 18399 43858 62257 9.4 0.25914828 M101LH -1.1033173 0.29553303 V2.M101LH 0.17387989 -0.2044669
+624 V2 LIP 8 307 315 21.4 0.47800115 M101LH -3.3991950 0.02539682 V2.M101LH 0.00087977 -0.4746031
+627 V2 DP 2 142 144 21.6 0.56091164 M101LH -3.7391430 0.01388888 V2.M101LH 0.00040218 -0.4861111
+630 V2 STPc 0 34 34 28.2 0.67391906 M101LH -4.3660266 0 V2.M101LH 9.49598654 -0.5
+634 V2 FST 40 767 807 16.2 0.73219284 M101LH -2.9906320 0.04956629 V2.M101LH 0.00225390 -0.4504337
+635 V2 MST 5 276 281 23.4 0.61033344 M101LH -3.4487992 0.01779359 V2.M101LH 0.00078481 -0.4822064
+636 V2 MT 3918 9156 13074 13.6 0.31974898 M101LH -1.7810971 0.29967875 V2.M101LH 0.03651486 -0.2003212
+637 V2 TEO 46 1291 1337 12.2 0.29357522 M101LH -2.7713741 0.03440538 V2.M101LH 0.00373415 -0.4655946
+642 V2 TEpd 4 281 285 19.8 0.59669699 M101LH -3.4426607 0.01403508 V2.M101LH 0.00079598 -0.4859649
+646 V2 TH/TF 5 700 705 19 0.64563500 M101LH -3.0493164 0.00709219 V2.M101LH 0.00196902 -0.4929078
+648 V2 8l 4 28 32 40.2 0.60812505 M101LH -4.3923556 0.125 V2.M101LH 8.93739910 -0.375
+649 V2 8m 0 6 6 40.3 0.60812505 M101LH -5.1193543 0 V2.M101LH 1.67576233 -0.5
+650 V2 V1 143448 47865 191313 9.3 -0.4392851 M101RH -0.6157610 0.74980790 V2.M101RH 0.78266472 0.24980790
+651 V2 V3 3159 7431 10590 10.2 0.0 M101RH -1.8726096 0.29830028 V2.M101RH 0.04332386 -0.2016997
+652 V2 V3A 65 853 918 14.9 0.37623569 M101RH -2.9346629 0.07080610 V2.M101RH 0.00375555 -0.4291938
+653 V2 V4 3871 23048 26919 9.4 0.25914828 M101RH -1.4674466 0.14380177 V2.M101RH 0.11012608 -0.3561982
+655 V2 LIP 17 346 363 21.4 0.47800115 M101RH -3.3375989 0.04683195 V2.M101RH 0.00148503 -0.4531680
+658 V2 DP 2 202 204 21.6 0.56091164 M101RH -3.5878754 0.00980392 V2.M101RH 0.00083456 -0.4901960
+661 V2 STPc 0 20 20 28.2 0.67391906 M101RH -4.5964755 0 V2.M101RH 8.18203388 -0.5
+664 V2 FST 47 535 582 16.2 0.73219284 M101RH -3.1325825 0.08075601 V2.M101RH 0.00238097 -0.4192439
+665 V2 MST 5 290 295 23.4 0.61033344 M101RH -3.4276835 0.01694915 V2.M101RH 0.00120684 -0.4830508
+666 V2 MT 2734 7239 9973 13.6 0.31974898 M101RH -1.8986797 0.27414017 V2.M101RH 0.04079971 -0.2258598
+667 V2 TEO 94 1128 1222 12.2 0.29357522 M101RH -2.8104343 0.07692307 V2.M101RH 0.00499922 -0.4230769
+672 V2 TEpd 6 142 148 19.8 0.59669699 M101RH -3.7272438 0.04054054 V2.M101RH 0.00060547 -0.4594594
+676 V2 TH/TF 5 548 553 19 0.64563500 M101RH -3.1547804 0.00904159 V2.M101RH 0.00226233 -0.4909584
+678 V2 8l 12 16 28 40.2 0.60812505 M101RH -4.4503475 0.42857142 V2.M101RH 0.00011454 -0.0714285
+679 V2 8m 0 14 14 40.3 0.60812505 M101RH -4.7513775 0 V2.M101RH 5.72742372 -0.5
+680 V2 V1 110574 34672 145246 9.3 -0.4392851 M103LH -0.7354014 0.76128774 V2.M103LH 0.77549320 0.26128774
+681 V2 V3 699 1258 1957 10.2 0.0 M103LH -2.6059147 0.35717935 V2.M103LH 0.01044875 -0.1428206
+682 V2 V3A 2 171 173 14.9 0.37623569 M103LH -3.6594594 0.01156069 V2.M103LH 0.00092367 -0.4884393
+683 V2 V4 10318 21520 31838 9.4 0.25914828 M103LH -1.3945598 0.32407814 V2.M103LH 0.16998852 -0.1759218
+685 V2 LIP 7 86 93 21.4 0.47800115 M103LH -3.9290226 0.07526881 V2.M103LH 0.00049654 -0.4247311
+688 V2 DP 1 4 5 21.6 0.56091164 M103LH -5.1985355 0.2 V2.M103LH 2.66958541 -0.3
+693 V2 STPc 0 16 16 28.2 0.67391906 M103LH -4.6933855 0 V2.M103LH 8.54267332 -0.5
+696 V2 FST 24 272 296 16.2 0.73219284 M103LH -3.4262138 0.08108108 V2.M103LH 0.00158039 -0.4189189
+697 V2 MST 1 45 46 23.4 0.61033344 M103LH -4.2347477 0.02173913 V2.M103LH 0.00024560 -0.4782608
+698 V2 MT 1299 4297 5596 13.6 0.31974898 M103LH -2.1496278 0.23213009 V2.M103LH 0.02987799 -0.2678699
+699 V2 TEO 33 171 204 12.2 0.29357522 M103LH -3.5878754 0.16176470 V2.M103LH 0.00108919 -0.3382352
+704 V2 TEpd 14 315 329 19.8 0.59669699 M103LH -3.3803096 0.04255319 V2.M103LH 0.00175658 -0.4574468
+708 V2 TH/TF 3 212 215 19 0.64563500 M103LH -3.5650671 0.01395348 V2.M103LH 0.00114792 -0.4860465
+711 V2 8l 4 19 23 40.2 0.60812505 M103LH -4.5357777 0.17391304 V2.M103LH 0.00012280 -0.3260869
+712 V4 V1 1665 8 1673 14.8 -0.6984333 M123LH -2.1413063 0.99521817 V4.M123LH 0.01789036 0.49521817
+713 V4 V2 35964 4775 40739 9.4 -0.2591482 M123LH -0.7547919 0.88279044 V4.M123LH 0.43564599 0.38279044
+714 V4 V3 744 648 1392 12.9 -0.2591482 M123LH -2.2211630 0.53448275 V4.M123LH 0.01488547 0.03448275
+715 V4 V3A 0 14 14 12.4 0.11708740 M123LH -4.2186742 0 V4.M123LH 0.00014971 -0.5
+717 V4 7A 0 4 4 22.8 0.48971736 M123LH -4.7627423 0 V4.M123LH 4.27743439 -0.5
+718 V4 LIP 28 124 152 21.4 0.21885287 M123LH -3.1829587 0.18421052 V4.M123LH 0.00162542 -0.3157894
+720 V4 DP 0 4 4 15 0.30176336 M123LH -4.7627423 0 V4.M123LH 4.27743439 -0.5
+723 V4 STPc 0 8 8 25.7 0.41477077 M123LH -4.4617123 0 V4.M123LH 8.55486878 -0.5
+726 V4 FST 252 1117 1369 15.5 0.47304456 M123LH -2.2283988 0.18407596 V4.M123LH 0.01463951 -0.3159240
+727 V4 MST 0 8 8 23.6 0.35118515 M123LH -4.4617123 0 V4.M123LH 8.55486878 -0.5
+728 V4 MT 4640 4932 9572 9.4 0.06060070 M123LH -1.3837996 0.48474717 V4.M123LH 0.10235900 -0.0152528
+729 V4 TEO 9456 12885 22341 9.8 0.03442694 M123LH -1.0156996 0.42325768 V4.M123LH 0.23890540 -0.0767423
+734 V4 TEpd 1368 5696 7064 16.5 0.33754871 M123LH -1.5157516 0.19365798 V4.M123LH 0.07553949 -0.3063420
+739 V4 TH/TF 26 1226 1252 19.4 0.38648672 M123LH -2.2671979 0.02076677 V4.M123LH 0.01338836 -0.4792332
+743 V4 8l 128 58 186 39.5 0.34897677 M123LH -3.0952893 0.68817204 V4.M123LH 0.00198900 0.18817204
+745 V4 V1 1097 36 1133 14.8 -0.6984333 M121RH -2.3105723 0.96822594 V4.M121RH 0.00820301 0.46822594
+746 V4 V2 46329 1467 47796 9.4 -0.2591482 M121RH -0.6854107 0.96930705 V4.M121RH 0.34604691 0.46930705
+747 V4 V3 4768 1311 6079 12.9 -0.2591482 M121RH -1.5809701 0.78433952 V4.M121RH 0.04401245 0.28433952
+748 V4 V3A 0 7 7 12.4 0.11708740 M121RH -4.5197042 0 V4.M121RH 5.06805676 -0.5
+750 V4 7A 2 21 23 22.8 0.48971736 M121RH -4.0030744 0.08695652 V4.M121RH 0.00016652 -0.4130434
+751 V4 LIP 126 385 511 21.4 0.21885287 M121RH -2.6563814 0.24657534 V4.M121RH 0.00369968 -0.2534246
+753 V4 DP 0 21 21 15 0.30176336 M121RH -4.0425830 0 V4.M121RH 0.00015204 -0.5
+756 V4 STPc 0 18 18 25.7 0.41477077 M121RH -4.1095298 0 V4.M121RH 0.00013032 -0.5
+759 V4 FST 213 1229 1442 15.5 0.47304456 M121RH -2.2058370 0.14771151 V4.M121RH 0.01044019 -0.3522884
+760 V4 MST 2 21 23 23.6 0.35118515 M121RH -4.0030744 0.08695652 V4.M121RH 0.00016652 -0.4130434
+761 V4 MT 4042 5212 9254 9.4 0.06060070 M121RH -1.3984728 0.43678409 V4.M121RH 0.06699971 -0.0632159
+762 V4 TEO 14305 18392 32697 9.8 0.03442694 M121RH -0.8502943 0.43750191 V4.M121RH 0.23672893 -0.0624980
+767 V4 TEpd 3646 6605 10251 16.5 0.33754871 M121RH -1.3540360 0.35567261 V4.M121RH 0.07421807 -0.1443273
+772 V4 TH/TF 7 2073 2080 19.4 0.38648672 M121RH -2.0467389 0.00336538 V4.M121RH 0.01505936 -0.4966346
+775 V4 8l 205 189 394 39.5 0.34897677 M121RH -2.7693060 0.52030456 V4.M121RH 0.00285259 0.02030456
+779 DP V2 18191 1690 19881 21.6 -0.5609116 M89LH -1.1022499 0.91499421 DP.M89LH 0.07902236 0.41499421
+780 DP V3 1172 96 1268 12.9 -0.5609116 M89LH -2.2975689 0.92429022 DP.M89LH 0.00504000 0.42429022
+781 DP V3A 5798 2266 8064 12 -0.1846759 M89LH -1.4941376 0.71899801 DP.M89LH 0.03205253 0.21899801
+782 DP V4 42584 42351 84935 15 -0.3017633 M89LH -0.4716015 0.50137163 DP.M89LH 0.33759693 0.00137163
+785 DP 7A 10229 19451 29680 11.4 0.18795399 M89LH -0.9282242 0.34464285 DP.M89LH 0.11797111 -0.1553571
+786 DP LIP 1871 3212 5083 11.9 -0.0829104 M89LH -1.6945680 0.36808971 DP.M89LH 0.02020374 -0.1319102
+795 DP STPc 0 85 85 15.2 0.11300741 M89LH -3.4712692 0 DP.M89LH 0.00033785 -0.5
+799 DP FST 695 1914 2609 20.2 0.17128119 M89LH -1.9842141 0.26638558 DP.M89LH 0.01037017 -0.2336144
+800 DP MST 3940 9102 13042 13.8 0.04942179 M89LH -1.2853440 0.30210090 DP.M89LH 0.05183892 -0.1978990
+801 DP MT 19664 21198 40862 15.6 -0.2411626 M89LH -0.7893685 0.48122950 DP.M89LH 0.16241697 -0.0187704
+802 DP TEO 13 72 85 21.3 -0.2673364 M89LH -3.4712692 0.15294117 DP.M89LH 0.00033785 -0.3470588
+807 DP TEpd 51 255 306 28.8 0.03578535 M89LH -2.9149667 0.16666666 DP.M89LH 0.00121627 -0.3333333
+812 DP TH/TF 928 3600 4528 33.1 0.08472335 M89LH -1.7447817 0.20494699 DP.M89LH 0.01799775 -0.2950530
+830 DP 8m 251 235 486 41.3 0.04721340 M89LH -2.7140519 0.51646090 DP.M89LH 0.00193173 0.01646090
diff --git a/multiarea_model/data_multiarea/raw_data/SchemeTranslation.csv b/multiarea_model/data_multiarea/raw_data/SchemeTranslation.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5912697e14d3d49f6a925e9cda20a07c4379e8dc
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/SchemeTranslation.csv
@@ -0,0 +1,19 @@
+# This translation is compiled by collecting information from Markov et al. (2011), Hilgetag et al. (2015), and David van Essen (2002) ""Organization of Visual Areas in Macaque and Human Cerebral Cortex"
+	
+Area Barbas	Area Fellmann/van Essen [2]
+TEO	PITd
+TEO	PITv
+TEO	VOT
+46	46
+Opt/DP	DP
+Te1	AITd
+Te1	AITv
+Te1	CITd
+Te1	CITv
+area 46v	46
+TE	AITd
+TE	AITv
+TE	CITd
+TE	CITv
+TH-TF	TH
+TH-TF	TF
diff --git a/multiarea_model/data_multiarea/raw_data/SynapticDensity_Cragg.csv b/multiarea_model/data_multiarea/raw_data/SynapticDensity_Cragg.csv
new file mode 100644
index 0000000000000000000000000000000000000000..13b25532e13cf60c48aa7868de96655c72d17492
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/SynapticDensity_Cragg.csv
@@ -0,0 +1,3 @@
+Data taken from Cragg, B. G. (1967). The density of synapses and neurones in the motor and visual areas of the cerebral cortex. Journal of Anatomy, 101(Pt 4), 639–54.
+
+5600
\ No newline at end of file
diff --git a/multiarea_model/data_multiarea/raw_data/SynapticDensity_OKusky.csv b/multiarea_model/data_multiarea/raw_data/SynapticDensity_OKusky.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cb6283e6c576d3bc22855f75fbd5be42d3563e84
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/SynapticDensity_OKusky.csv
@@ -0,0 +1,3 @@
+Data taken from O’Kusky, J., & Colonnier, M. (1982). A laminar analysis of the number of neurons, glia, and synapses in the adult cortex (area 17) of adult macaque monkeys. The Journal of Comparative Neurology, 210(3), 278–90. https://doi.org/10.1002/cne.902100307
+
+2300
\ No newline at end of file
diff --git a/multiarea_model/data_multiarea/raw_data/Thom_Distances.csv b/multiarea_model/data_multiarea/raw_data/Thom_Distances.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2613f8b51a6f1ccd046da4b3dcea1f4f27fc7a18
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Thom_Distances.csv
@@ -0,0 +1,35 @@
+#Taken from Cocomac database (www.cocomac.org), the center of the areas is computed (Details to be clarified) and the distance between two areas is taken to be the distance between the center points, which is computed via a sophisticated method of Thom Oostendorp
+
+	V1	V2	V3	VP	V3A	V4	VOT	V4t	MT	FST	PITd	PITv	CITd	CITv	AITd	AITv	STPp	STPa	TF	TH	MSTd	MSTl	PO	PIP	LIP	VIP	MIP	MDP	DP	7a	FEF	46
+V1	0	18.71	10.685	19.494	9.639	21.216	22.492	16.695	18.994	26.502	23.301	26.687	30.883	34.236	37.03	37.114	36.349	34.388	23.492	20.946	13.495	19.112	8.973	4.904	19.298	15.454	13.004	18.594	17.428	23.416	49.578	52.619
+V2	18.71	0	24.187	14.27	20.031	21.772	18.155	15.574	14.908	20.778	18.689	22.437	24.662	27.89	30.199	29.026	31.948	28.151	15.017	9.067	17.33	16.336	25.205	19.344	28.663	25.784	27.907	33.179	27.092	29.532	47.566	49.877
+V3	10.685	24.187	0	24.697	5.744	23.134	27.66	20.399	24.257	31.838	28.58	31.441	36.402	39.735	42.654	43.025	40.629	39.742	29.37	27.127	15.656	23.402	15.161	7.805	17.584	16.543	18.157	23.91	14.337	23.021	51.846	55.35
+VP	19.494	14.27	24.697	0	20.865	20.437	14.537	16.573	15.658	23.493	18.156	19.578	23.462	25.283	30.261	30	34.925	30.601	17.04	20.205	20.925	19.911	26.89	20.363	30.662	27.96	29.813	35.086	28.081	33.181	52.854	55.374
+V3A	9.639	20.031	5.744	20.865	0	17.429	22.341	14.987	19.061	26.952	23.385	25.925	31.286	34.535	37.635	38.289	35.734	34.865	24.883	23.198	11.069	18.498	14.36	6.805	12.477	11.622	17.356	22.817	9.005	17.978	47.157	50.661
+V4	21.216	21.772	23.134	20.437	17.429	0	11.793	8.773	12.356	19.924	12.648	12.704	19.811	22.175	26.327	28.597	31.248	27.307	18.984	23.932	15.996	15.513	27.529	20.736	25.135	24.08	29.74	34.31	20.93	28.188	48.667	51.306
+VOT	22.492	18.155	27.66	14.537	22.341	11.793	0	8.804	5.705	11.073	4.622	5.045	10.6	12.851	17.545	18.449	22.502	18.071	8.961	17.856	16.773	10.509	27.901	22.301	29.05	26.759	30.465	35.352	27.385	27.39	41.448	43.783
+V4t	16.695	15.574	20.399	16.573	14.987	8.773	8.804	0	5.698	14.607	9.949	11.606	17.881	20.704	24.188	25.038	24.095	22.056	13.244	15.865	9.304	7.425	21.608	15.732	21.047	18.997	23.749	28.217	19.33	21.51	40.471	43.21
+MT	18.994	14.908	24.257	15.658	19.061	12.356	5.705	5.698	0	9.618	4.324	8.317	12.421	15.638	18.882	19.719	20.266	17.001	8.704	13.809	11.618	5.124	23.501	18.411	24.117	21.796	26.132	30.687	23.844	21.836	37.411	39.927
+FST	26.502	20.778	31.838	23.493	26.952	19.924	11.073	14.607	9.618	0	7.354	9.992	6.444	11.087	11.355	12.683	11.431	7.992	10.012	16.069	17.321	9.189	29.41	25.566	29.21	26.984	32.15	35.596	30.941	26.474	31.467	33.22
+PITd	23.301	18.689	28.58	18.156	23.385	12.648	4.622	9.949	4.324	7.354	0	4.58	9.046	12.055	15.807	16.96	18.622	14.737	9.083	16.62	15.676	7.587	27.717	22.723	28.035	25.899	30.421	34.934	28.121	25.174	37.329	39.664
+PITv	26.687	22.437	31.441	19.578	25.925	12.704	5.045	11.606	8.317	9.992	4.58	0	7.407	9.471	14.031	16.214	21.253	16.387	11.547	20.676	19.83	12.009	31.698	26.39	32.222	30.053	34.378	38.97	30.339	29.523	41.093	43.011
+CITd	30.883	24.662	36.402	23.462	31.286	19.811	10.6	17.881	12.421	6.444	9.046	7.407	0	4.873	6.992	9.156	15.496	9.802	10.892	20.855	22.858	14.606	34.451	30.211	35.084	32.841	37.325	41.358	35.894	32.193	36.474	37.746
+CITv	34.236	27.89	39.735	25.283	34.535	22.175	12.851	20.704	15.638	11.087	12.055	9.471	4.873	0	7.573	8.284	19.359	12.278	14.171	24.433	26.7	18.537	38.278	33.705	39.035	36.884	41.293	45.534	39.336	36.124	40.417	41.34
+AITd	37.03	30.199	42.654	30.261	37.635	26.327	17.545	24.188	18.882	11.355	15.807	14.031	6.992	7.573	0	6.755	16.284	7.151	16.461	25.789	28.575	20.419	39.866	36.215	40.531	38.133	42.767	46.402	41.989	37.718	35.717	35.418
+AITv	37.114	29.026	43.025	30	38.289	28.597	18.449	25.038	19.719	12.683	16.96	16.214	9.156	8.284	6.755	0	18.302	9.334	15.215	23.568	29.441	21.476	39.747	36.342	41.616	38.845	42.854	46.826	42.76	39.03	37.806	37.581
+STPp	36.349	31.948	40.629	34.925	35.734	31.248	22.502	24.095	20.266	11.431	18.622	21.253	15.496	19.359	16.284	18.302	0	9.133	21.118	27.233	25.461	17.341	39.433	35.037	36.21	35.33	41.457	44.449	39.289	32.01	32.945	33.701
+STPa	34.388	28.151	39.742	30.601	34.865	27.307	18.071	22.056	17.001	7.992	14.737	16.387	9.802	12.278	7.151	9.334	9.133	0	16.013	23.022	24.909	16.783	36.914	33.399	36.257	34.161	39.605	42.486	38.67	33.5	29.534	29.915
+TF	23.492	15.017	29.37	17.04	24.883	18.984	8.961	13.244	8.704	10.012	9.083	11.547	10.892	14.171	16.461	15.215	21.118	16.013	0	12.567	18.121	12.361	27.205	22.967	30.515	27.273	30.181	34.898	30.483	29.097	41.128	42.9
+TH	20.946	9.067	27.127	20.205	23.198	23.932	17.856	15.865	13.809	16.069	16.62	20.676	20.855	24.433	25.789	23.568	27.233	23.022	12.567	0	15.616	13.68	22.61	19.986	27.043	22.93	25.708	30.207	28.139	27.778	42.093	44.285
+MSTd	13.495	17.33	15.656	20.925	11.069	15.996	16.773	9.304	11.618	17.321	15.676	19.83	22.858	26.7	28.575	29.441	25.461	24.909	18.121	15.616	0	8.601	15.327	10.652	12.5	10.386	16.461	20.174	14.063	12.3	36.699	40.028
+MSTl	19.112	16.336	23.402	19.911	18.498	15.513	10.509	7.425	5.124	9.189	7.587	12.009	14.606	18.537	20.419	21.476	17.341	16.783	12.361	13.68	8.601	0	22.344	17.741	20.531	18.775	24.338	28.025	22.217	17.587	33.25	35.928
+PO	8.973	25.205	15.161	26.89	14.36	27.529	27.901	21.608	23.501	29.41	27.717	31.698	34.451	38.278	39.866	39.747	39.433	36.914	27.205	22.61	15.327	22.344	0	7.555	17.591	12.11	8.172	12.072	19.56	23.413	48.493	51.715
+PIP	4.904	19.344	7.805	20.363	6.805	20.736	22.301	15.732	18.411	25.566	22.723	26.39	30.211	33.705	36.215	36.342	35.037	33.399	22.967	19.986	10.652	17.741	7.555	0	15.732	12.203	10.551	16.303	13.877	19.986	46.806	50.131
+LIP	19.298	28.663	17.584	30.662	12.477	25.135	29.05	21.047	24.117	29.21	28.035	32.222	35.084	39.035	40.531	41.616	36.21	36.257	30.515	27.043	12.5	20.531	17.591	15.732	0	5.819	17.362	19.994	7.556	9.419	42.63	46.21
+VIP	15.454	25.784	16.543	27.96	11.622	24.08	26.759	18.997	21.796	26.984	25.899	30.053	32.841	36.884	38.133	38.845	35.33	34.161	27.273	22.93	10.386	18.775	12.11	12.203	5.819	0	12.033	14.665	9.666	13.446	41.121	44.651
+MIP	13.004	27.907	18.157	29.813	17.356	29.74	30.465	23.749	26.132	32.15	30.421	34.378	37.325	41.293	42.767	42.854	41.457	39.605	30.181	25.708	16.461	24.338	8.172	10.551	17.362	12.033	0	6.259	20.298	23.818	47.16	50.676
+MDP	18.594	33.179	23.91	35.086	22.817	34.31	35.352	28.217	30.687	35.596	34.934	38.97	41.358	45.534	46.402	46.826	44.449	42.486	34.898	30.207	20.174	28.025	12.072	16.303	19.994	14.665	6.259	0	23.472	26.347	47.257	50.887
+DP	17.428	27.092	14.337	28.081	9.005	20.93	27.385	19.33	23.844	30.941	28.121	30.339	35.894	39.336	41.989	42.76	39.289	38.67	30.483	28.139	14.063	22.217	19.56	13.877	7.556	9.666	20.298	23.472	0	14.155	47.625	51.212
+7a	23.416	29.532	23.021	33.181	17.978	28.188	27.39	21.51	21.836	26.474	25.174	29.523	32.193	36.124	37.718	39.03	32.01	33.5	29.097	27.778	12.3	17.587	23.413	19.986	9.419	13.446	23.818	26.347	14.155	0	39.407	42.812
+FEF	49.578	47.566	51.846	52.854	47.157	48.667	41.448	40.471	37.411	31.467	37.329	41.093	36.474	40.417	35.717	37.806	32.945	29.534	41.128	42.093	36.699	33.25	48.493	46.806	42.63	41.121	47.16	47.257	47.625	39.407	0	10.145
+46	52.619	49.877	55.35	55.374	50.661	51.306	43.783	43.21	39.927	33.22	39.664	43.011	37.746	41.34	35.418	37.581	33.701	29.915	42.9	44.285	40.028	35.928	51.715	50.131	46.21	44.651	50.676	50.887	51.212	42.812	10.145	0
diff --git a/multiarea_model/data_multiarea/raw_data/Thom_Distances_MERetal12.csv b/multiarea_model/data_multiarea/raw_data/Thom_Distances_MERetal12.csv
new file mode 100644
index 0000000000000000000000000000000000000000..5aabbd13e7cbca5a53d4fbbd5730c408dfd0b540
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/Thom_Distances_MERetal12.csv
@@ -0,0 +1,95 @@
+Distances provided by Rembrandt																																																																																												
+																																																																																												
+	F6	V3A	PIP	OPAI	PIR	TEav	ENTO	TEOm	7op	POLE	PBc	F1	F2	1	DP	7B	TEpv	MT	46v	F7	PERI	ProStr	29-30	12	TPt	TEam-a	25	45B	F3	TEad	OPRO	F4	FST	23	Gu	MW	TH-TF	V6A	STPr	46d	24d	8B	13	PBr	MIP	11	V2	AIP	V6	LB	Core	V4	10	24b	TEam-p	24a	9-46v	24c	8l	ProM	45A	IPa	SII	TEpd	9	MST	MB	LIP	44	STPi	5	INS	3	7m	PGa	2	8m	V1	31	F5	TEO	VIP	V4t	V3	7A	32	9-46d	Pi	STPc	8r	SUB	14
+F6	0	49.6505367195	43.4441447912	21.404313008	27.6120613586	43.0822253411	41.4392213362	46.3631349834	35.0730730628	36.5782555231	43.6010394013	23.6855825505	10.4701682361	32.3557637344	50.8765094264	37.1724239434	45.5937158545	47.5030517268	12.7939056868	3.8142375888	40.0845551768	42.4210926785	33.0166331816	15.8528146252	41.7260407127	39.6246647471	19.7905340803	19.5460699844	9.1587981487	43.521934871	24.2784643064	15.3167747639	42.2966170114	21.7336533991	27.1127164479	30.2510987939	49.698222585	43.730139233	36.5455042276	9.5477524362	7.9862320127	7.6342658528	16.6915378057	38.9850081015	41.9092571642	13.336529333	51.9107299522	33.1323202472	50.8648085734	40.5263393232	38.0955414075	49.8800960805	17.3125284368	9.8957409319	45.5770396234	10.056336012	16.3187508238	9.3166426729	17.5818335311	27.3424341881	21.5505901393	38.125840203	29.0032383675	48.7479211112	8.8649859871	41.6724580372	34.2606411505	43.5826000484	18.0324657886	42.6056529804	38.8830374109	28.2330285934	25.6679970428	41.7945874379	36.2282150274	32.3171499488	10.0833578693	53.3511661326	33.7264204399	26.4729259528	51.4560081862	35.9970366159	51.6977755219	53.1216791736	41.3478811078	12.4107588212	10.9616438951	32.4393833967	42.1153086746	13.6543520905	41.9692558287	16.6590101987
+V3A	49.6505367195	0	10.9104159767	43.0037201655	39.9005273875	43.2402592968	37.8169039026	24.7363745183	21.9227414111	44.5188008585	27.4376618905	31.3868305911	41.9523073791	31.1236210985	13.839750393	26.5146671884	27.1210123819	17.3075857099	53.1566212301	50.373586011	39.6971744497	12.3018767013	18.8211012563	49.4455260304	17.8339225302	36.5944006978	44.8359160498	46.6526143874	42.1481035123	40.6898672491	41.2845377736	36.4049331557	21.8058422035	29.0005431435	45.6231469983	22.2304096662	24.6681584452	9.1329120183	37.1802372063	54.1738057205	42.1248822095	44.1192587161	47.0061609888	38.9780485064	13.4188746682	54.6707776217	19.3443274217	23.5495626568	3.5214192594	34.3689713265	35.1825328915	18.330797897	59.2660649965	44.8774347961	32.2972889301	45.4544960325	50.0217891481	52.2202550313	46.5815376096	45.0208656431	49.3109755623	34.0430817778	32.880516088	29.5938318705	56.5272324014	17.5397713039	38.2874044668	13.3494033373	39.2392334765	29.5504414112	23.8203645329	30.9788062007	29.2428890675	17.2831019626	35.2887802776	38.0459240537	45.7224044642	5.5828130187	19.7763217028	42.132760852	21.8962024879	14.218529372	18.3957843198	17.9240725463	21.5948335905	52.9770999567	50.0794480025	41.6051070986	20.4381427117	45.05930273	31.5393575897	53.2809161374
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diff --git a/multiarea_model/data_multiarea/raw_data/cocomac_confirmative_studies.json b/multiarea_model/data_multiarea/raw_data/cocomac_confirmative_studies.json
new file mode 100644
index 0000000000000000000000000000000000000000..479baec99131f36d140502c16ddc4176a4c0144a
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/cocomac_confirmative_studies.json
@@ -0,0 +1,1983 @@
+{
+  "FV91-1":{
+    "FV91-1":7,
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diff --git a/multiarea_model/data_multiarea/raw_data/cocomac_negative_studies.json b/multiarea_model/data_multiarea/raw_data/cocomac_negative_studies.json
new file mode 100644
index 0000000000000000000000000000000000000000..73b38ae19fdd5bc1001a5260dcf8b9092a34c6f3
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/cocomac_negative_studies.json
@@ -0,0 +1,1983 @@
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+    "FV91-V4":0,
+    "FV91-VIP":1,
+    "FV91-VP":0
+  },
+  "FV91-VOT":{
+    "FV91-4":3,
+    "FV91-5":1,
+    "FV91-6":3,
+    "FV91-7a":3,
+    "FV91-7b":1,
+    "FV91-46":3,
+    "FV91-FEF":1,
+    "FV91-IT":0,
+    "FV91-PIT":0,
+    "FV91-PITd":0,
+    "FV91-PITv":0,
+    "FV91-STP":9,
+    "FV91-STPa":3,
+    "FV91-STPp":6,
+    "FV91-V1":1,
+    "FV91-V2":1,
+    "FV91-V3":1,
+    "FV91-V4":0,
+    "FV91-VP":1
+  },
+  "FV91-VP":{
+    "FV91-4":3,
+    "FV91-5":1,
+    "FV91-6":3,
+    "FV91-7a":9,
+    "FV91-36":2,
+    "FV91-46":3,
+    "FV91-AITd":1,
+    "FV91-AITv":1,
+    "FV91-CITd":1,
+    "FV91-CITv":1,
+    "FV91-DP":1,
+    "FV91-FEF":0,
+    "FV91-FST":0,
+    "FV91-IT":4,
+    "FV91-LIP":2,
+    "FV91-MDP":1,
+    "FV91-MIP":1,
+    "FV91-MST":0,
+    "FV91-MSTd":1,
+    "FV91-MSTl":1,
+    "FV91-MT":0,
+    "FV91-PIP":0,
+    "FV91-PIT":1,
+    "FV91-PITd":2,
+    "FV91-PITv":1,
+    "FV91-PO":3,
+    "FV91-STP":8,
+    "FV91-STPa":4,
+    "FV91-STPp":6,
+    "FV91-TF":5,
+    "FV91-TH":9,
+    "FV91-V1":4,
+    "FV91-V2":3,
+    "FV91-V3":0,
+    "FV91-V3A":0,
+    "FV91-V4":0,
+    "FV91-V4t":1,
+    "FV91-V4v":1,
+    "FV91-VIP":2,
+    "FV91-VOT":0
+  }
+}
diff --git a/multiarea_model/data_multiarea/raw_data/cortical_surface.csv b/multiarea_model/data_multiarea/raw_data/cortical_surface.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c3571b7de7f8fcf290d86ab86b8e50b7af6e4ffa
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/cortical_surface.csv
@@ -0,0 +1,34 @@
+# Computed with Caret software, Details to be clarified, unit is mm2
+
+7a	157.342
+DP	113.834
+MDP	77.485
+LIP	56.04
+V2	1193.395
+MIP	45.09
+V4	561.413
+VIP	85.062
+V3	120.569
+FEF	161.538
+PO	75.371
+MSTd	120.574
+V4t	28.234
+MT	55.901
+V3A	96.96
+PIP	106.151
+46	185.161
+STPp	245.484
+PITd	145.383
+MSTl	29.186
+VOT	70.108
+PITv	100.343
+V1	1484.629
+FST	61.331
+TH	44.603
+TF	197.396
+CITv	114.665
+CITd	57.538
+STPa	78.715
+AITd	91.592
+AITv	93.119
+VP	130.58
diff --git a/multiarea_model/data_multiarea/raw_data/hierarchy_Markov.csv b/multiarea_model/data_multiarea/raw_data/hierarchy_Markov.csv
new file mode 100644
index 0000000000000000000000000000000000000000..087e739bffbf55288e2146c125968c415549f960
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/hierarchy_Markov.csv
@@ -0,0 +1,20 @@
+Taken from Markov et al. (2014) "Anatomy of Hierarchy: Feedforward and Feedback Pathways in Macaque Visual Cortex"
+
+V1,0.,1.
+V2,0.2831,2.
+V3,0.8604,4.3
+V4,0.8898,4.4
+8L,0.8485,4.2
+TEO,1.2401,5.65
+TEpd,1.6930,7.4
+TH/TF,2.2047,9.2
+PERIRHINAL,2.4195,10.
+MT,1.2711,5.8
+DP,1.4848,6.6
+FST,1.6084,7.05
+8m,1.6249,7.1
+LIP,1.6802,7.3
+V3A,1.7438,7.6
+7A,2.0728,8.8
+MST,2.1693,9.15
+STPc,2.3592,9.85
diff --git a/multiarea_model/data_multiarea/raw_data/hierarchy_Reid.csv b/multiarea_model/data_multiarea/raw_data/hierarchy_Reid.csv
new file mode 100644
index 0000000000000000000000000000000000000000..4b9d33ae5ff0da18803bd1f09952aa2733b5c5e2
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/hierarchy_Reid.csv
@@ -0,0 +1,34 @@
+Taken from Reid et al. (2009) "Optimization of cortical hierarchies with continuous scales and ranges", Fig 4.
+
+7a	0.6622
+PITv	0.6048
+V3A	0.3345
+LIP	0.5677
+MIP	?
+PITd	0.6115
+DP	0.4864
+STPa	0.7162
+MSTl	0.6216
+V1	0
+46	0.8649
+STPp	0.6757
+V2	0.1115
+V3	0.1993
+V4	0.4054
+TH	0.9222
+TF	0.8615
+MDP	?
+PO	0.4189
+FEF	0.8177
+CITv	0.625
+VP	0.1993
+PIP	0.2972
+V4t	0.4054
+CITd	0.6284
+AITv	0.6149
+VOT	0.4628
+MT	0.4054
+VIP	0.5677
+MSTd	0.5473
+FST	0.6216
+AITd	1
diff --git a/multiarea_model/data_multiarea/raw_data/laminar_thicknesses_macaque.csv b/multiarea_model/data_multiarea/raw_data/laminar_thicknesses_macaque.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2fa9b901a0a19c07c205a2ab388fa2048a1d87cb
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/laminar_thicknesses_macaque.csv
@@ -0,0 +1,158 @@
+# Cortical laminar thicknesses from a number of published experimental studies (see supplement of Schmidt et al. (2017) for details)
+
+area	L1	L2	L3	L2/3	L4A	L4B	L4Calpha	L4Cbeta	L4C	L4	L5	L6	L5/6	total_without_L1	total	source	note
+FEF				710						180			970	1860		Dombrowski et al. (2001) – Quantitative architecture distinguishes prefrontal cortical systems in the rhesus monkey	estimated from Fig. 3. Central FEF=lateral area 8A. Medial FEF=medial area 8A. Lateral FEF= area 45 (Schall et al., 1993)
+7a		175	530	695						150						Medalla and Barbas (2006) Diversity of laminar connections linking periarcuate and lateral intraparietal areas depends on cortical structure Fig. 5C	
+7a																Blatt et al. (1990) – Visual receptive field organization and cortico-cortical connections of the lateral intraparietal area (area LIP) in the macaque. Has layer indications but no boundaries.	Fig. 12. rough estimates since the layer boundaries were not indicated, just layer labels: L2/3 520 micrometers, L4 140 micrometers
+STPp																	see STP data from Rozzi et al.
+CITv																	Weller and Steele (1992) Fig. 17 has layer indications but no boundaries for CIT
+PITv																	Take from TEO? Weller and Steele (1992) Fig. 3D has layer indications but no boundaries for caudal IT
+VP																	schematically shown in Fig. 6 of Maunsell and Van Essen (1983) – The connections of the middle temporal visual area (MT) and their relationship to a cortical hierarchy in the macaque monkey
+V3A	200	0	520	520						120						Nakamura et al. (2001) – From three-dimensional space vision... Fig. 5B	
+V3A										155			135			Anderson and Martin (2005) – Connection from cortical area V2 to V3A in macaque monkey, Fig. 2	For rough approximation, see also Ungerleider and Desimone (1986) Fig. 2
+TF				480						70	190					Suzuki and Amaral (2003) – Perirhinal and parahippocampal cortices of the macaque monkey: cytoarchitectonic and chemoarchitectonic organization	estimated from Fig. 14. Where L6 ends is not entirely clear.
+LIP		170	520	690						155						Medalla and Barbas (2006) Diversity of laminar connections linking periarcuate and lateral intraparietal areas depends on cortical structure, average of Fig. 5A & B	See also Cavada and Goldman-Rakic, Multiple visual areas in the posterior parietal cortex of primates, Fig. 3
+V4t																	
+MIP	125			545						110	100	445		1200	1325	Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	estimated from Fig. 11
+CITd																	Weller and Steele (1992) Fig. 17 has layer indications but no boundaries for CIT
+MSTd																	see MST data from Rozzi et al.
+DP																Andersen et al. (1990) Corticocortical Connections of Anatomically and Physiologically Defined Subdivisions Within the Inferior Parietal Lobule Fig. 7A has layer boundaries for DP but without a scale bar	
+STPa																	see STP data from Rozzi et al.
+MSTl																	see MST data from Rozzi et al.
+MT	225			1060						250	210	225		1745	1970	Markov et al. (2013) Anatomy of Hierarchy: Feedforward and Feedback Pathways in Macaque Visual Cortex	Estimated from Fig. 8; layer boundaries drawn continuously
+MT				840						160	240					Cusick et al. (1995) – Chemoarchitectonics and corticocortical terminations within the superior temporal sulcus of the rhesus monkey: evidence for subdivisions of superior temporal polysensory cortex	estimated from Fig. 3. Only L4 indicated by name; the other layers by dashes. However, layer names are indicated in the adjacent figure.
+46	164	141	572	713						164	234	309		1420	1584	Eggan & Lewis (2007) – Immunocytochemical distribution of the cannabinoid CB1 receptor in the primate neocortex: a regional and laminar analysis	Fig. 1 (used 1A. 1B and C show laminar thicknesses of the same areas, which are similar but not identical to 1A )
+46				660						170			550	1380		Dombrowski et al. (2001) – Quantitative architecture distinguishes prefrontal cortical systems in the rhesus monkey	estimated from Fig. 3
+AITv																	
+VIP																	See Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca Fig. 12. for rough approximation, see also Ungerleider and Desimone (1986) Fig. 2
+PITd																	Weller and Steele (1992) Fig. 3D has layer indications but no boundaries for caudal IT
+VOT																	take from TEO?
+V1	122.9			396.9	127.1	211.4			247.5	586	226.3	260.2		1469.4	1592.3	O'Kusky and Colonnier (1982)	Table 3;  adult values
+V1	100			340						450	130	140		1060	1160	Rakic et al. (1991)  A novel cytoarchitectonic area induced experimentally within the primate visual cortex	Control from Table 2. the monkey was 3 months old
+V2	60			365						125	185	160		835	895	Markov et al. (2013) Anatomy of Hierarchy: Feedforward and Feedback Pathways in Macaque Visual Cortex	 Fig. 2
+V2	110			470						210	150	180		1010	1120	Rakic et al. (1991) A novel cytoarchitectonic area induced experimentally within the primate visual cortex	Control from Table 2. The monkey was 3 months old; see Hendry, Fuchs, deBlas & Jones. J. Neurosci. 1990 Fig. 3 for adult
+V2																Levitt et al. (1995) Connections between the pulvinar complex and cytochrome oxidase-defined compartments in visual area V2 of macaque monkey, Fig. 4A	
+V3	200			1250						250	210	250		1960	2160	Markov et al. (2013) Anatomy of Hierarchy: Feedforward and Feedback Pathways in Macaque Visual Cortex	Estimated from Fig. 8; layer boundaries drawn continuously
+V3	195			285						265			250	800	995	Angelucci et al. (2002) – Circuits for local and global signal integration in primary visual cortex	Fig. 4
+V4	150	150	700	850						200	200	200		1450	1600	Rockland et al. (1992) – Configuration, in serial reconstruction, of individual axons projecting from area V2 to V4 in the macaque monkey	From text on p. 355. See also Anderson et al. (2011), Fig. 2; Distler et al. (1993) Fig. 6C
+TH				440						0	170					Suzuki and Amaral (2003) – Perirhinal and parahippocampal cortices of the macaque monkey: cytoarchitectonic and chemoarchitectonic organization	estimated from Fig. 14. Where L6 ends is not entirely clear.
+PIP																	
+FST																	
+MDP																	
+PO	215	0	740	740						140						Nakamura et al. (2001) – From three-dimensional space vision to prehensile hand movements: the lateral intraparietal area links the area V3A and the anterior intraparietal area in macaques	Fig. 5C; note that V6 and V6A overlap to some extent with PO (Passarelli et al., 2011 – Cortical connections of area V6Av in the macaque...)
+AITd																	
+TE				625						145	131					Suzuki and Amaral (2003) – Perirhinal and parahippocampal cortices of the macaque monkey: cytoarchitectonic and chemoarchitectonic organization	Estimated from Fig. 14. Can perhaps be used for CITd, CITv, AITd, AITv (see Tamura and Tanaka, 2001), though CITv and CITd are type 5 and AITd, AITv are type 4
+MST				910						210	190					Cusick et al. (1995) – Chemoarchitectonics and corticocortical terminations within the superior temporal sulcus of the rhesus monkey: evidence for subdivisions of superior temporal polysensory cortex	estimated from Fig. 3. Only L4 indicated by name; the other layers by dashes. However, layer names are indicated in the adjacent figure.
+MST																Blatt et al. (1990) – Visual receptive field organization and cortico-cortical connections of the lateral intraparietal area (area LIP) in the macaque	Fig. 10. rough estimates since the layer boundaries were not indicated, just layer labels: L2/3 730 micrometers, L4 210 micrometers, L5 180 micrometers
+PG				820						170	220	390		1600		Gregoriou et al. (2006) – Architectonic organization of the inferior parietal convexity of the macaque monkey	corresponds roughly to 7a; estimated from Fig. 4
+V4				760						150	390					Cusick et al. (1995) – Chemoarchitectonics and corticocortical terminations within the superior temporal sulcus of the rhesus monkey: evidence for subdivisions of superior temporal polysensory cortex	estimated from Fig. 4B
+TPOc				850						225	275					Cusick et al. (1995) – Chemoarchitectonics and corticocortical terminations within the superior temporal sulcus of the rhesus monkey: evidence for subdivisions of superior temporal polysensory cortex	estimated from Fig. 5. Appears to correspond approximately to STPp.
+V1	120			490	110	200	150	110		570	220	120		1400	1520	Felleman et al. (1997) – Cortical connections of area V3 and VP of macaque monkey extrastriate visual cortex	estimated from Fig. 7
+4	140			880						0	540					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 9. minimal thickness of L6 can also be taken from here
+6D	110			780						0	720					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 9. minimal thickness of L6 can also be taken from here
+6M	180			640						150	380					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 9. minimal thickness of L6 can also be taken from here
+6V	160			720						170	530					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 10. minimal thickness of L6 can also be taken from here
+PrCO	220			860						220						Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 10. minimal thickness of L5+6 can also be taken from here
+OFO	150			640						220						Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 10. minimal thickness of L5+6 can also be taken from here
+13L	110			590						155	360					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 12. minimal thickness of L6 can also be taken from here
+13M	100			730						130	320					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 12. minimal thickness of L6 can also be taken from here
+14L	110			440						150						Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 13. minimal thickness of L5+6 can also be taken from here
+14VL	200			550						130	190	190		1060	1260	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 13. 
+14A	170			670						120	270	250		1310	1480	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 13. 
+PL	200			520						0	410	660		1590	1790	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 15
+IL	160			840						170	280	340		1630	1790	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 15
+MF	150			630						190	240	460		1520	1670	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 15
+45	170			720						210			740	1670	1840	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 17. corresponds to lateral FEF
+8Ac	150			610						220	330					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 17
+8Ar	140			460						140	310					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 17
+8Am	190			780						170	300	430		1680	1870	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 17. Corresponds to medial FEF
+8Bd	120			790						135			1760	2805	2685	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 18
+8Bm	180			620						130	310	1190		2250	2430	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 18
+9d	120			740						220	570	800		2330	2450	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 19
+9m	160			740						150	500	900		2290	2450	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 19
+46dr	185			1080						290						Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 20. Assumed the scale bar was 500 micrometers
+46d	230			800						250	250	415		1715	1945	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 20. Assumed the scale bar was 500 micrometers
+46v	215			715						170	280	290		1455	1670	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 20. Assumed the scale bar was 500 micrometers
+46vr	140			690						230	520					Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 20. Assumed the scale bar was 500 micrometers
+12vl	170			700						180	370	960		2210	2380	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	Estimated from Fig. 21
+12orb	170			730						210	320	380		1640	1810	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 21
+10	260			960						260	395	835		2450	2710	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 22
+46r	180			625						120	180	240		1165	1345	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 22
+11	170			700						110	260	330		1400	1570	Preuss and Goldman-Rakic (1991) – Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca	estimated from Fig. 22
+FEF	195	175	655	830						310	335	315	650	1790	1985	Boussaoud et al. (1990) – Pathways for motion analysis...	Fig. 18
+PF																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	estimated from Fig. 3. Rozzi writes that this is the rostral part of FvE area 7b – not visual.
+PFG																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	estimated from Fig. 3. Rozzi writes that this may correspond to the caudal part of FvE area 7b (but definition is tricky) – not visual.
+PG																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	estimated from Figs 3, 8 and 14. according to Pandya and Seltzer (1982), PG and Opt are both parts of 7a. Rozzi writes that this may be the rostral part of 7a (but definition is tricky). I'm not sure how this is compatible with Max's scheme translation, where Pga corresponds to STPp and STPa. He also translates Ipa to STPp and STPa, but Rozzi et al. State that Ipa is ventral to STPa.
+Opt																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	estimated from Figs 3 and 11. according to Pandya and Seltzer (1982), PG and Opt are both parts of 7a. Rozzi writes that Opt is the caudal part of 7a. 
+LIP	123			486						118	105	536		1245	1368	Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 8
+Pgm																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 8
+MST	227			847						119	131	290	421	1387	1614	Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 14. See also Figs 8 and 11.
+STP	70			670						170	437	530	967	1807	1877	Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 8
+Ipa																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Figs 8 and 11. Rozzi: Ipa is the fundal region of the sulcus ventral to STPa.
+Tepv																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 8
+F7																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 8
+F5																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Figs 8, 11 and 14
+45																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 8
+SII																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Figs 11 and 14
+23c																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 11
+Tpt																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 11. 69.2% of Tpt is STPp
+F2																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 11 and 14
+46v																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 11 and 14
+Pea																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 14
+Tem																Rozzi et al. (2006) – Cortical connections of the inferior parietal cortical convexity of the macaque monkey	Fig. 14
+F1																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+F2																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+F3																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+F6																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+F7																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+23																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+24																Matelli et al. (1991) – Architecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey	
+TE	164			532						350						Distler et al. (1993) – Cortical connections of inferior temporal area TEO in macaque monkeys	Fig. 6D; From this paper: TEO corresponds roughly to PITv and VOT. Tanigawa et al. (1998) – Distribution, morphology, … also has many micrographs of TE with layer indications, but no precise indications of which parts of TE are shown.
+3b																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 7
+5																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 7
+S2																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 7
+7b																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 10
+7a-l																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 10
+7a-m																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 10
+7op																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 10
+LIP	180			720						170	180	140		1210	1390	Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 12
+VIP	160			740						180	130	100		1150	1310	Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 12
+7m																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 12
+31																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 12
+Tpt																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 14
+Ipa																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 14
+Tem																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 14
+Tec																Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 14
+MT	140			640						210	240	270		1360	1500	Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 18
+TF	270			760						240			700	1700	1970	Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 18
+TH	180			420						150	370	170		1110	1290	Preuss and Goldman-Rakic (1991) – Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca	Fig. 18
+V6	162	152	466	618						152	155					Passarelli et al. (2011) – Cortical connections of area V6Av in the macaque: a visual-input node to the eye/hand coordination system	Fig. 4. Area definition according to Galletti. Could use average of V6, V6Av and V6Ad for PO?
+V6Av	145	124	407	531						221	214	455	669	1421	1566	Passarelli et al. (2011) – Cortical connections of area V6Av in the macaque: a visual-input node to the eye/hand coordination system	Fig. 4. Area definition according to Galletti.
+V6Ad	114	162	476	638						203	166	410	576	1417	1531	Passarelli et al. (2011) – Cortical connections of area V6Av in the macaque: a visual-input node to the eye/hand coordination system	Fig. 4. Area definition according to Galletti.
+46	130			425						85			350	860	990	Petrides and Pandya (1999) – Dorsolateral prefrontal cortex: comparative cytoarchitectonic analysis in the human and the macaque brain and corticocortical connection patterns	Fig. 7
+7m																Eggan & Lewis (2007) – Immunocytochemical distribution of the cannabinoid CB1 receptor in the primate neocortex: a regional and laminar analysis	Fig. 4
+FST?																Eggan & Lewis (2007) – Immunocytochemical distribution of the cannabinoid CB1 receptor in the primate neocortex: a regional and laminar analysis	Fig. 5C 
+V1	59	173	222	395	62	155	150	83		450	173	181		1200	1259	Eggan & Lewis (2007) – Immunocytochemical distribution of the cannabinoid CB1 receptor in the primate neocortex: a regional and laminar analysis	Fig. 5B
+upper bank of rostral STS																Saleem et al. (2000) – Connections between anterior inferotemporal cortex and superior temporal sulcus regions in the macaque monkey	This may correspond to STPa. Fig. 6: camera lucida drawings with layer boundaries; Fig. 7: layer indications without boundaries
+lower bank of middle STS																Saleem et al. (2000) – Connections between anterior inferotemporal cortex and superior temporal sulcus regions in the macaque monkey	Fig. 6: camera lucida drawings with layer boundaries; Fig. 7: layer indications without boundaries
+lower bank of rostral STS																Saleem et al. (2000) – Connections between anterior inferotemporal cortex and superior temporal sulcus regions in the macaque monkey	Fig. 7, layer indications without boundaries
+STP	121	182	403	585						262	371	256	627	1474	1595	Cipolloni and Pandya (1989) – Connectional analysis of the ipsilateral and contralateral afferent neurons of the superior temporal region in the rhesus monkey	Fig. 2
+8/FEF																Gerbella et al. (2007) – Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey	Fig. 8
+45B																Gerbella et al. (2007) – Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey	Fig. 8
+45A																Gerbella et al. (2007) – Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey	Fig. 8
+8r																Gerbella et al. (2007) – Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey	Fig. 8
+46v																Gerbella et al. (2007) – Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey	Fig. 8
+12																Gerbella et al. (2007) – Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey	Fig. 8
+FST	354	232	390	622						122			384	1128	1482	Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 15, called STSf (floor of superior temporal sulcus) in the paper
+TE																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 15. Atlas: Von Bonin & Bailey, 1947
+TEO	128	183	274	557						128	268	274	542	1227	1355	Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 15. Atlas: Von Bonin & Bailey, 1947
+STG																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 16
+STSd																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 16
+24																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 16
+23/30																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 16
+7																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 16
+11																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 17
+13																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 17
+46																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 17
+Ig																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 17
+Pi																Lavenex et al. (2002) – Perirhinal and parahippocampal cortices of the macaque monkey: projections to the neocortex	Fig. 17
diff --git a/multiarea_model/data_multiarea/raw_data/overlap.json b/multiarea_model/data_multiarea/raw_data/overlap.json
new file mode 100644
index 0000000000000000000000000000000000000000..afea7e3f0b56743f8ff3c34194e30480f00819da
--- /dev/null
+++ b/multiarea_model/data_multiarea/raw_data/overlap.json
@@ -0,0 +1 @@
+{"visual": {"F3_M132": {"???": 100}, "PBr_M132": {"FVE.STPp": 23, "FVE.STPa": 6.3, "???": 70.7}, "2_M132": {"???": 100}, "12_M132": {"FVE.46": 0.1, "???": 99.9}, "24c_M132": {"???": 100}, "45B_M132": {"???": 25, "FVE.FEF": 75}, "24b_M132": {"???": 100}, "5_M132": {"FVE.MDP": 0.1, "???": 99.8, "FVE.MIP": 0.1}, "TEOm_M132": {"FVE.V4": 1.1, "FVE.PITd": 98.9}, "TEad_M132": {"FVE.AITv": 36.1, "???": 27.9, "FVE.AITd": 36.1}, "STPi_M132": {"FVE.STPp": 94.1, "FVE.STPa": 5.1, "???": 0.7}, "46v_M132": {"FVE.46": 74.9, "???": 25.1}, "STPc_M132": {"FVE.STPp": 67.8, "???": 4, "FVE.7a": 1.3, "FVE.MSTd": 26.4, "FVE.MSTl": 0.4}, "7A_M132": {"???": 25.5, "FVE.7a": 71.5, "FVE.DP": 3}, "46d_M132": {"FVE.46": 65.9, "???": 34.1}, "MT_M132": {"FVE.MT": 28.2, "FVE.PITd": 6.8, "FVE.DP": 0.4, "FVE.V4": 25.2, "???": 4.9, "FVE.MSTd": 8.5, "FVE.V4t": 16, "FVE.7a": 10}, "MEDIAL.WALL": {"???": 27, "MEDIAL.WALL": 73}, "Subiculum_M132": {"???": 96, "FVE.TH": 4}, "ProM_M132": {"???": 100}, "8B_M132": {"???": 91.5, "FVE.FEF": 8.5}, "24d_M132": {"???": 100}, "V2_M132": {"FVE.TF": 1.5, "FVE.PO": 0.8, "FVE.V4": 0.2, "???": 4.9, "FVE.TH": 3, "FVE.V1": 8, "FVE.MSTd": 0, "FVE.V3": 3, "FVE.V2": 78.4}, "F7_M132": {"???": 100}, "9_46v_M132": {"FVE.46": 73.3, "???": 26.7}, "Insula_M132": {"???": 100}, "OPRO_M132": {"???": 100}, "3_M132": {"???": 99.9, "FVE.V2": 0.1}, "7B_M132": {"???": 15.7}, "31_M132": {"???": 100}, "TH_TF_M132": {"FVE.TF": 64.9, "???": 11.6, "FVE.TH": 23.6}, "IPa_M132": {"FVE.STPa": 24.5, "???": 22.1, "FVE.AITd": 7.7, "FVE.CITd": 21.7, "FVE.FST": 24}, "LIP_M132": {"FVE.VIP": 36.4, "???": 27.9, "FVE.LIP": 28.8, "FVE.7a": 6, "FVE.DP": 1}, "45A_M132": {"FVE.46": 1.3, "???": 98.7}, "V3_M132": {"FVE.TF": 11.6, "FVE.V3A": 4.9, "FVE.V4": 6, "???": 2.6, "FVE.PIP": 2.6, "FVE.VP": 7.2, "FVE.V3": 17.2, "FVE.V2": 47.9}, "1_M132": {"???": 100}, "32_M132": {"???": 100}, "V6_M132": {"???": 6.4, "FVE.PIP": 11.1, "FVE.PO": 61.2, "FVE.MIP": 6.6, "FVE.V2": 14.7}, "TPt_M132": {"FVE.STPp": 6, "???": 91.5, "FVE.MSTd": 1.6, "FVE.7a": 0.8}, "Pi_M132": {"???": 100}, "OPAI_M132": {"???": 100}, "TEO_M132": {"FVE.TF": 0.9, "FVE.PITd": 3.3, "FVE.V4": 38.9, "FVE.VP": 5.5, "FVE.VOT": 26, "FVE.PITv": 23.1, "???": 2.2}, "9_46d_M132": {"FVE.46": 47.2, "???": 30.6, "FVE.FEF": 22.2}, "TEpv_M132": {"FVE.TF": 43.1, "FVE.VOT": 0.1, "FVE.PITv": 16.1, "FVE.CITv": 13.3, "FVE.AITv": 18.7, "???": 8.7}, "11_M132": {"???": 100}, "PO_M132": {"FVE.PO": 100}, "Gu_M132": {"???": 100}, "PBc_M132": {"FVE.STPp": 60.3, "???": 39.7}, "MB_M132": {"???": 100}, "F5_M132": {"???": 99.8, "FVE.FEF": 0.2}, "F4_M132": {"???": 100}, "V4t_M132": {"FVE.V4": 99.3, "FVE.PITd": 0.7}, "Aud-core_M132": {"???": 100}, "25_M132": {"???": 100}, "PGa_M132": {"FVE.STPp": 17.4, "FVE.STPa": 23, "???": 17.4, "FVE.FST": 26.8, "FVE.MSTl": 15.5}, "7op_M132": {"???": 100}, "V6A_M132": {"FVE.MDP": 27.5, "???": 15.5, "FVE.PIP": 12.2, "FVE.PO": 24, "FVE.MIP": 20.8}, "F1_M132": {"???": 100}, "MIP_M132": {"FVE.MIP": 5.2, "???": 94.8}, "S2_M132": {"???": 100}, "V3A_M132": {"FVE.DP": 4.5, "FVE.V4": 15.4, "FVE.V3": 1.8, "???": 2, "FVE.PIP": 26, "FVE.V3A": 50.2, "FVE.7a": 0.1}, "PIP_M132": {"FVE.VIP": 3.1, "???": 7.7, "FVE.PIP": 38.3, "FVE.V3A": 11.4, "FVE.DP": 39.5}, "TEpd_M132": {"FVE.PITd": 0.5, "FVE.AITd": 0.1, "FVE.VOT": 1, "FVE.PITv": 26.3, "FVE.CITv": 59.3, "FVE.AITv": 12, "???": 0.7}, "13_M132": {"???": 99.6, "FVE.V2": 0.4}, "DP_M132": {"FVE.V4": 32.9, "???": 0.6, "FVE.7a": 5.4, "FVE.DP": 61.1}, "8l_M132": {"???": 11.8, "FVE.FEF": 88.2}, "24a_M132": {"???": 91.2, "MEDIAL.WALL": 8.8}, "8r_M132": {"FVE.46": 36.9, "???": 12.3, "FVE.FEF": 50.8}, "F6_M132": {"???": 100}, "V1_M132": {"???": 2.7, "FVE.V1": 91.8, "FVE.V2": 5.5}, "29_30_M132": {"???": 27.9, "MEDIAL.WALL": 72.1}, "TEav_M132": {"FVE.AITv": 13.4, "???": 86.6}, "Prostriate_M132": {"???": 72.9, "FVE.V1": 25.2, "MEDIAL.WALL": 0.3, "FVE.V2": 1.5}, "FST_M132": {"FVE.MT": 7.3, "FVE.CITd": 3.4, "FVE.MSTl": 12.4, "FVE.PITd": 43.3, "???": 11.5, "FVE.FST": 22}, "MST_M132": {"???": 3.8, "FVE.MSTl": 5.8, "FVE.MSTd": 56, "FVE.7a": 34.5}, "23_M132": {"???": 96.9, "FVE.PO": 0.1, "MEDIAL.WALL": 2.9, "FVE.V2": 0.1}, "7m_M132": {"FVE.MDP": 11.8, "???": 87.9, "FVE.PO": 0.2}, "Piriform_M132": {"???": 100}, "F2_M132": {"???": 100}, "AIP_M132": {"???": 100}, "STPr_M132": {"FVE.STPa": 41.5, "???": 58.5}, "LB_M132": {"FVE.STPp": 0.7, "???": 99.3}, "TEam-a_M132": {"FVE.PITd": 2.1, "FVE.CITd": 1.3, "FVE.STPa": 4.8, "FVE.AITd": 49, "FVE.PITv": 0.6, "FVE.CITv": 0.4, "???": 41.7}, "14_M132": {"???": 100}, "8m_M132": {"???": 33, "FVE.FEF": 67}, "Perirhinal_M132": {"???": 99.7, "FVE.TH": 0.3}, "44_M132": {"???": 84.3, "FVE.FEF": 15.7}, "10_M132": {"???": 100}, "9_M132": {"???": 100}, "TEam-p_M132": {"FVE.PITd": 29.4, "FVE.CITd": 38.3, "FVE.AITd": 15.5, "FVE.PITv": 1.4, "FVE.CITv": 3.9, "???": 11.5}, "Entorhinal_M132": {"???": 100}, "???": {"FVE.TF": 9.9, "FVE.FEF": 1.4, "MEDIAL.WALL": 2.8, "FVE.STPa": 1.4, "FVE.STPp": 14.1, "FVE.AITv": 8.5, "???": 59.2, "FVE.FST": 1.4, "FVE.7a": 1.4}, "Temporal-pole_M132": {"???": 100}, "VIP_M132": {"FVE.VIP": 42.9, "???": 55.1, "FVE.PIP": 2.1}, "V4_M132": {"FVE.TF": 10.6, "FVE.PITd": 0.5, "FVE.V4": 61.8, "FVE.VP": 18.6, "FVE.V2": 4.6, "???": 1.3, "FVE.VOT": 2.6}}, "all": {"F3_M132": {"FVE.9": 0.6, "FVE_all.6": 9, "FVE_all.SMA": 76, "FVE_all.4": 0.4, "FVE_all.9": 12.8, "FVE.6": 0.2, "FVE.SMA": 0.4, "FVE.4": 0.4, "FVE_all.24": 0.2}, "PBr_M132": {"FVE_all.STPp": 23, "FVE_all.UNK": 29.6, "FVE_all.STPa": 6.6, "UNK": 7.4, "FVE_all.36": 17, "FVE_all.35": 1.4, "FVE.STPa": 6.6, "FVE.AUD": 0.3, "FVE.36": 0.3, "FVE.STPp": 4.9, "FVE_all.Aud": 3}, "2_M132": {"FVE_all.2": 36.4, "FVE_all.1": 29.7, "FVE_all.7b": 1.9, "FVE_all.UNK": 18, "FVE_all.SII": 0.2, "UNK": 1.1, "FVE.7b": 0.1, "FVE.3b": 0.3, "FVE.2": 0.3, "FVE.1": 1.7, "FVE_all.3b": 10.4}, "12_M132": {"FVE_all.UNK": 44, "FVE_all.46": 0.3, "FVE_all.45": 10.1, "UNK": 3.6, "FVE_all.10": 12.9, "FVE_all.11": 0.3, "FVE_all.12": 16.3, "FVE_all.Pro": 7.4, "FVE.46": 0.7, "FVE.45": 0.7, "FVE.Pro": 0.6, "FVE.11": 0.6, "FVE.12": 2.4}, "24c_M132": {"FVE.9": 0.5, "FVE_all.9": 61.6, "FVE_all.10": 25.8, "FVE_all.24": 10.5, "FVE.24": 1.6}, "45B_M132": {"FVE.FEF": 1.6, "FVE_all.45": 23.4, "FVE_all.FEF": 75}, "24b_M132": {"FVE_all.9": 0.4, "FVE_all.10": 4.3, "FVE_all.24": 93.2, "FVE.24": 2.1}, "5_M132": {"FVE_all.2": 40.3, "FVE.MDP": 0.1, "FVE_all.1": 1.2, "FVE.7b": 0.4, "FVE_all.5": 57.5, "FVE_all.MDP": 0.1, "FVE_all.MIP": 0.1, "FVE_all.7b": 0.1, "FVE.MIP": 0.1, "FVE.5": 0.1}, "TEOm_M132": {"FVE_all.V4": 1.1, "FVE_all.PITd": 98.9}, "TEad_M132": {"FVE_all.AITd": 36.1, "FVE_all.36": 21.3, "FVE_all.35": 4.9, "FVE.AITd": 0.3, "FVE.36": 1.4, "FVE_all.AITv": 36.1}, "STPi_M132": {"FVE_all.STPp": 94.1, "FVE_all.STPa": 5.1, "FVE.STPa": 0.7}, "46v_M132": {"FVE.10": 1, "FVE_all.46": 72.9, "FVE_all.10": 20.8, "FVE.12": 1, "FVE.46": 4.3}, "STPc_M132": {"FVE_all.STPp": 67.8, "FVE_all.MSTd": 26.4, "FVE_all.MSTl": 0.4, "FVE.STPp": 1.3, "FVE_all.7a": 1.3, "FVE.MSTd": 2.2, "FVE.7a": 0.4}, "7A_M132": 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\ No newline at end of file
diff --git a/multiarea_model/data_multiarea/viscortex_raw_data.json b/multiarea_model/data_multiarea/viscortex_raw_data.json
new file mode 100644
index 0000000000000000000000000000000000000000..03a3c33f97b2409bdfb950d995279158bf6c2de9
--- /dev/null
+++ b/multiarea_model/data_multiarea/viscortex_raw_data.json
@@ -0,0 +1 @@
+{"area_list": ["V1", "V2", "VP", "V3", "PIP", "V3A", "MT", "V4t", "V4", "PO", "VOT", "DP", "MIP", "MDP", "MSTd", "VIP", "LIP", "PITv", "PITd", "AITv", "MSTl", "FST", "CITv", "CITd", "7a", "STPp", "STPa", "FEF", "46", "TF", "TH", "AITd"], "hierarchy": {"7a": 0.6622, "PITv": 0.6048, "V3A": 0.3345, "LIP": 0.5677, "MIP": 0.5, "PITd": 0.6115, "DP": 0.4864, "STPa": 0.7162, "MSTl": 0.6216, "V1": 0.0, "46": 0.8649, "STPp": 0.6757, "V2": 0.1115, "V3": 0.1993, "V4": 0.4054, "TH": 0.9222, "TF": 0.8615, "MDP": 0.5, "PO": 0.4189, "FEF": 0.8177, "CITv": 0.625, "VP": 0.1993, "PIP": 0.2972, "V4t": 0.4054, "CITd": 0.6284, "AITv": 0.6149, "VOT": 0.4628, "MT": 0.4054, "VIP": 0.5677, "MSTd": 0.5473, "FST": 0.6216, "AITd": 1.0}, "neuronal_density_data": {"V1": {"overall": {"value": 161365.313353296, "error": 19427.7514309175}, "23": {"value": 153894.970495772, "error": 11237.078502222099}, "4": {"value": 179088.958685915, "error": 19483.341145858798}, "56": {"value": 139272.680066401, "error": 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{"NLN": 5433.0, "status": "Known"}, "TEOm": {"NLN": 392.0, "status": "Known"}, "PERI": {"NLN": 778.0, "status": "Known"}, "TEad": {"NLN": 313.0, "status": "NFP"}, "TEav": {"NLN": 120.0, "status": "NFP"}, "TEpd": {"NLN": 699.0, "status": "Known"}, "TEpv": {"NLN": 1059.0, "status": "Known"}, "TEa/ma": {"NLN": 330.0, "status": "NFP"}, "TEa/mp": {"NLN": 219.0, "status": "Known"}, "TH/TF": {"NLN": 732.0, "status": "Known"}, "LB": {"NLN": 10.0, "status": "Known"}, "PBc": {"NLN": 19.0, "status": "Known"}, "8l": {"NLN": 17.0, "status": "Known"}}}, "M85RH": {"target_area": "V1", "source_areas": {"V2": {"NLN": 141303.0, "status": "Known"}, "V3": {"NLN": 1361.0, "status": "Known"}, "V3A": {"NLN": 314.0, "status": "Known"}, "V4": {"NLN": 30128.0, "status": "Known"}, "V4t": {"NLN": 344.0, "status": "Known"}, "LIP": {"NLN": 190.0, "status": "Known"}, "PIP": {"NLN": 115.0, "status": "Known"}, "DP": {"NLN": 101.0, "status": "NFP"}, "STPr": {"NLN": 4.0, "status": "NFP"}, "STPi": {"NLN": 157.0, 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{"NLN": 100.0, "status": "Known"}, "TH/TF": {"NLN": 228.0, "status": "Known"}, "CORE": {"NLN": 2.0, "status": "Known"}, "MB": {"NLN": 2.0, "status": "Known"}, "LB": {"NLN": 4.0, "status": "Known"}, "PBc": {"NLN": 4.0, "status": "Known"}, "8l": {"NLN": 6.0, "status": "Known"}}}, "M121LH": {"target_area": "V1", "source_areas": {"V2": {"NLN": 66489.0, "status": "Known"}, "V3": {"NLN": 922.0, "status": "Known"}, "V3A": {"NLN": 130.0, "status": "Known"}, "V4": {"NLN": 19832.0, "status": "Known"}, "V4t": {"NLN": 68.0, "status": "Known"}, "LIP": {"NLN": 186.0, "status": "Known"}, "PIP": {"NLN": 220.0, "status": "Known"}, "DP": {"NLN": 18.0, "status": "NFP"}, "STPi": {"NLN": 13.0, "status": "Known"}, "STPc": {"NLN": 152.0, "status": "Known"}, "PGa": {"NLN": 32.0, "status": "Known"}, "IPa": {"NLN": 14.0, "status": "NFP"}, "FST": {"NLN": 656.0, "status": "Known"}, "MST": {"NLN": 186.0, "status": "Known"}, "MT": {"NLN": 5057.0, "status": "Known"}, "TEO": {"NLN": 2418.0, "status": "Known"}, 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"Known"}, "V4t": {"NLN": 215.0, "status": "Known"}, "LIP": {"NLN": 363.0, "status": "Known"}, "VIP": {"NLN": 23.0, "status": "NFP"}, "PIP": {"NLN": 71.0, "status": "Known"}, "DP": {"NLN": 204.0, "status": "Known"}, "V6A": {"NLN": 5.0, "status": "NFP"}, "STPi": {"NLN": 20.0, "status": "NFP"}, "STPc": {"NLN": 20.0, "status": "Known"}, "PGa": {"NLN": 8.0, "status": "Known"}, "IPa": {"NLN": 2.0, "status": "NFP"}, "FST": {"NLN": 582.0, "status": "Known"}, "MST": {"NLN": 295.0, "status": "Known"}, "MT": {"NLN": 9973.0, "status": "Known"}, "TEO": {"NLN": 1222.0, "status": "Known"}, "TEOm": {"NLN": 509.0, "status": "Known"}, "PERI": {"NLN": 25.0, "status": "NFP"}, "TEad": {"NLN": 7.0, "status": "NFP"}, "TEav": {"NLN": 10.0, "status": "NFP"}, "TEpd": {"NLN": 148.0, "status": "NFP"}, "TEpv": {"NLN": 358.0, "status": "Known"}, "TEa/ma": {"NLN": 4.0, "status": "Known"}, "TEa/mp": {"NLN": 38.0, "status": "Known"}, "TH/TF": {"NLN": 553.0, "status": "Known"}, "MB": {"NLN": 1.0, "status": "NFP"}, 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{"NLN": 80.0, "status": "NFP"}, "TEad": {"NLN": 80.0, "status": "NFP"}, "TEav": {"NLN": 117.0, "status": "NFP"}, "TEpd": {"NLN": 329.0, "status": "NFP"}, "TEpv": {"NLN": 217.0, "status": "Known"}, "TEa/ma": {"NLN": 29.0, "status": "Known"}, "TEa/mp": {"NLN": 19.0, "status": "Known"}, "TH/TF": {"NLN": 215.0, "status": "Known"}, "MB": {"NLN": 3.0, "status": "NFP"}, "PBc": {"NLN": 1.0, "status": "NFP"}, "8l": {"NLN": 23.0, "status": "NFP"}}}, "M121RH": {"target_area": "V4", "source_areas": {"V1": {"NLN": 1134.0, "status": "Known"}, "V2": {"NLN": 47725.0, "status": "Known"}, "V3": {"NLN": 6082.0, "status": "Known"}, "V3A": {"NLN": 10.0, "status": "Known"}, "V4t": {"NLN": 11588.0, "status": "Known"}, "7A": {"NLN": 23.0, "status": "Known"}, "LIP": {"NLN": 511.0, "status": "Known"}, "PIP": {"NLN": 61.0, "status": "Known"}, "DP": {"NLN": 21.0, "status": "Known"}, "STPr": {"NLN": 27.0, "status": "NFP"}, "STPi": {"NLN": 11.0, "status": "NFP"}, "STPc": {"NLN": 18.0, "status": "NFP"}, "PGa": {"NLN": 65.0, "status": "NFP"}, "IPa": {"NLN": 85.0, "status": "NFP"}, "FST": {"NLN": 1442.0, "status": "Known"}, "MST": {"NLN": 24.0, "status": "NFP"}, "MT": {"NLN": 9254.0, "status": "Known"}, "TEO": {"NLN": 32701.0, "status": "Known"}, "TEOm": {"NLN": 3062.0, "status": "Known"}, "PERI": {"NLN": 1162.0, "status": "Known"}, "TEad": {"NLN": 348.0, "status": "Known"}, "TEav": {"NLN": 1711.0, "status": "Known"}, "TEpd": {"NLN": 10249.0, "status": "Known"}, "TEpv": {"NLN": 2380.0, "status": "Known"}, "TEa/ma": {"NLN": 981.0, "status": "Known"}, "TEa/mp": {"NLN": 4878.0, "status": "Known"}, "ENTO": {"NLN": 9.0, "status": "NFP"}, "TH/TF": {"NLN": 2083.0, "status": "Known"}, "INSULA": {"NLN": 12.0, "status": "NFP"}, "9/46d": {"NLN": 1.0, "status": "NFP"}, "8l": {"NLN": 393.0, "status": "Known"}, "8r": {"NLN": 19.0, "status": "Known"}, "45B": {"NLN": 4.0, "status": "NFP"}}}, "M123LH": {"target_area": "V4", "source_areas": {"V1": {"NLN": 1673.0, "status": "Known"}, "V2": {"NLN": 40739.0, "status": "Known"}, "V3": {"NLN": 1392.0, "status": "Known"}, "V3A": {"NLN": 14.0, "status": "Known"}, "V4t": {"NLN": 376.0, "status": "Known"}, "7A": {"NLN": 4.0, "status": "Known"}, "LIP": {"NLN": 152.0, "status": "Known"}, "PIP": {"NLN": 80.0, "status": "Known"}, "DP": {"NLN": 4.0, "status": "Known"}, "STPr": {"NLN": 27.0, "status": "NFP"}, "STPi": {"NLN": 36.0, "status": "NFP"}, "STPc": {"NLN": 8.0, "status": "NFP"}, "PGa": {"NLN": 72.0, "status": "NFP"}, "IPa": {"NLN": 180.0, "status": "NFP"}, "FST": {"NLN": 1369.0, "status": "Known"}, "MST": {"NLN": 8.0, "status": "NFP"}, "MT": {"NLN": 9572.0, "status": "Known"}, "TEO": {"NLN": 22341.0, "status": "Known"}, "TEOm": {"NLN": 971.0, "status": "Known"}, "PERI": {"NLN": 619.0, "status": "Known"}, "TEad": {"NLN": 351.0, "status": "Known"}, "TEav": {"NLN": 256.0, "status": "Known"}, "TEpd": {"NLN": 7064.0, "status": "Known"}, "TEpv": {"NLN": 3496.0, "status": "Known"}, "TEa/ma": {"NLN": 356.0, "status": "Known"}, "TEa/mp": {"NLN": 896.0, "status": "Known"}, "ENTO": {"NLN": 6.0, "status": "NFP"}, "TH/TF": {"NLN": 1252.0, "status": "Known"}, "LB": {"NLN": 2.0, "status": "NFP"}, "INSULA": {"NLN": 5.0, "status": "NFP"}, "9/46v": {"NLN": 3.0, "status": "NFP"}, "8l": {"NLN": 186.0, "status": "Known"}, "45B": {"NLN": 4.0, "status": "NFP"}}}, "M119LH": {"target_area": "TEO", "source_areas": {"V2": {"NLN": 3782.0, "status": "Known"}, "V3": {"NLN": 19116.0, "status": "Known"}, "V3A": {"NLN": 77.0, "status": "Known"}, "V4": {"NLN": 39911.0, "status": "Known"}, "V4t": {"NLN": 915.0, "status": "Known"}, "7A": {"NLN": 72.0, "status": "Known"}, "7B": {"NLN": 4.0, "status": "Known"}, "LIP": {"NLN": 1232.0, "status": "Known"}, "MIP": {"NLN": 3.0, "status": "NFP"}, "PIP": {"NLN": 267.0, "status": "NFP"}, "DP": {"NLN": 182.0, "status": "Known"}, "5": {"NLN": 4.0, "status": "NFP"}, "7m": {"NLN": 8.0, "status": "NFP"}, "STPr": {"NLN": 205.0, "status": "Known"}, "STPi": {"NLN": 20.0, "status": "Known"}, "STPc": {"NLN": 3.0, "status": "Known"}, "PGa": {"NLN": 709.0, "status": "Known"}, "IPa": {"NLN": 871.0, "status": "Known"}, "FST": {"NLN": 10878.0, "status": "Known"}, "MST": {"NLN": 91.0, "status": "Known"}, "MT": {"NLN": 3805.0, "status": "Known"}, "TEOm": {"NLN": 6291.0, "status": "Known"}, "PERI": {"NLN": 2731.0, "status": "Known"}, "TEad": {"NLN": 1373.0, "status": "Known"}, "TEav": {"NLN": 2437.0, "status": "Known"}, "TEpd": {"NLN": 36077.0, "status": "Known"}, "TEpv": {"NLN": 14153.0, "status": "Known"}, "TEa/ma": {"NLN": 2441.0, "status": "Known"}, "TEa/mp": {"NLN": 4599.0, "status": "Known"}, "ENTO": {"NLN": 4.0, "status": "NFP"}, "TH/TF": {"NLN": 2276.0, "status": "Known"}, "POLE": {"NLN": 45.0, "status": "Known"}, "MB": {"NLN": 6.0, "status": "NFP"}, "LB": {"NLN": 2.0, "status": "NFP"}, "PBr": {"NLN": 8.0, "status": "NFP"}, "PBc": {"NLN": 12.0, "status": "NFP"}, "Parainsula": {"NLN": 7.0, "status": "NFP"}, "INSULA": {"NLN": 20.0, "status": "NFP"}, "1": {"NLN": 4.0, "status": "NFP"}, "2": {"NLN": 6.0, "status": "NFP"}, "3": {"NLN": 19.0, "status": "NFP"}, "23": {"NLN": 2.0, "status": "NFP"}, "24a": {"NLN": 12.0, "status": "NFP"}, "24b": {"NLN": 6.0, "status": "NFP"}, "24d": {"NLN": 3.0, "status": "NFP"}, "F2": {"NLN": 1.0, "status": "NFP"}, "F7": {"NLN": 7.0, "status": "NFP"}, "F5": {"NLN": 6.0, "status": "NFP"}, "ProM": {"NLN": 2.0, "status": "NFP"}, "46d": {"NLN": 2.0, "status": "NFP"}, "46v": {"NLN": 6.0, "status": "Known"}, "9/46d": {"NLN": 4.0, "status": "NFP"}, "9/46v": {"NLN": 61.0, "status": "Known"}, "8B": {"NLN": 2.0, "status": "Known"}, "8l": {"NLN": 948.0, "status": "Known"}, "8r": {"NLN": 84.0, "status": "Known"}, "45B": {"NLN": 65.0, "status": "Known"}, "45A": {"NLN": 3.0, "status": "Known"}, "44": {"NLN": 2.0, "status": "NFP"}, "11": {"NLN": 2.0, "status": "NFP"}, "12": {"NLN": 37.0, "status": "Known"}}}, "M106LH": {"target_area": "9/46d", "source_areas": {"V2": {"NLN": 458.0, "status": "Known"}, "V3": {"NLN": 12.0, "status": "NFP"}, "V4": {"NLN": 22.0, "status": "NFP"}, "Pro.St.": {"NLN": 54.0, "status": "Known"}, "7op": {"NLN": 214.0, "status": "Known"}, "7A": {"NLN": 188.0, "status": "Known"}, "7B": {"NLN": 286.0, "status": "Known"}, "LIP": {"NLN": 626.0, "status": "Known"}, "VIP": {"NLN": 196.0, "status": "NFP"}, "MIP": {"NLN": 42.0, "status": "NFP"}, "PIP": {"NLN": 4.0, "status": "NFP"}, "DP": {"NLN": 12.0, "status": "NFP"}, "V6": {"NLN": 248.0, "status": "NFP"}, "V6A": {"NLN": 4960.0, "status": "NFP"}, "5": {"NLN": 250.0, "status": "Known"}, "7m": {"NLN": 8878.0, "status": "Known"}, "STPr": {"NLN": 39.0, "status": "Known"}, "STPi": {"NLN": 1672.0, "status": "Known"}, "STPc": {"NLN": 6599.0, "status": "Known"}, "TPt": {"NLN": 216.0, "status": "NFP"}, "PGa": {"NLN": 118.0, "status": "NFP"}, "FST": {"NLN": 74.0, "status": "NFP"}, "MST": {"NLN": 504.0, "status": "NFP"}, "MT": {"NLN": 58.0, "status": "NFP"}, "TEO": {"NLN": 2.0, "status": "NFP"}, "PERI": {"NLN": 2.0, "status": "NFP"}, "TEad": {"NLN": 4.0, "status": "NFP"}, "TEav": {"NLN": 2.0, 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"Known"}, "F3": {"NLN": 92.0, "status": "NFP"}, "F6": {"NLN": 2485.0, "status": "Known"}, "F4": {"NLN": 2287.0, "status": "NFP"}, "F5": {"NLN": 164.0, "status": "Known"}, "ProM": {"NLN": 85.0, "status": "Known"}, "10": {"NLN": 2031.0, "status": "Known"}, "9": {"NLN": 6267.0, "status": "Known"}, "46d": {"NLN": 50412.0, "status": "Known"}, "46v": {"NLN": 24941.0, "status": "Known"}, "9/46v": {"NLN": 4328.0, "status": "Known"}, "8B": {"NLN": 18269.0, "status": "Known"}, "8l": {"NLN": 3781.0, "status": "NFP"}, "8m": {"NLN": 57037.0, "status": "Known"}, "8r": {"NLN": 15114.0, "status": "Known"}, "45B": {"NLN": 1092.0, "status": "Known"}, "45A": {"NLN": 5162.0, "status": "Known"}, "44": {"NLN": 2441.0, "status": "NFP"}, "OPRO": {"NLN": 334.0, "status": "NFP"}, "OPAI": {"NLN": 8.0, "status": "NFP"}, "11": {"NLN": 66.0, "status": "Known"}, "14": {"NLN": 14.0, "status": "Known"}, "12": {"NLN": 1852.0, "status": "Known"}, "13": {"NLN": 180.0, "status": "Known"}}}, "M106RH": {"target_area": "F5", 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"NFP"}, "SUB": {"NLN": 6.0, "status": "NFP"}, "POLE": {"NLN": 10.0, "status": "Known"}, "CORE": {"NLN": 11.0, "status": "NFP"}, "MB": {"NLN": 8.0, "status": "NFP"}, "LB": {"NLN": 10.0, "status": "NFP"}, "PBr": {"NLN": 8.0, "status": "NFP"}, "Parainsula": {"NLN": 5.0, "status": "Known"}, "INSULA": {"NLN": 1344.0, "status": "Known"}, "Gu": {"NLN": 2129.0, "status": "Known"}, "SII": {"NLN": 12064.0, "status": "Known"}, "1": {"NLN": 508.0, "status": "Known"}, "2": {"NLN": 41664.0, "status": "Known"}, "3": {"NLN": 2149.0, "status": "Known"}, "23": {"NLN": 30.0, "status": "NFP"}, "24a": {"NLN": 155.0, "status": "Known"}, "24b": {"NLN": 27.0, "status": "Known"}, "24c": {"NLN": 1745.0, "status": "Known"}, "24d": {"NLN": 103.0, "status": "Known"}, "29/30": {"NLN": 3.0, "status": "NFP"}, "32": {"NLN": 8.0, "status": "NFP"}, "F1": {"NLN": 882.0, "status": "Known"}, "F2": {"NLN": 247.0, "status": "Known"}, "F7": {"NLN": 8.0, "status": "Known"}, "F3": {"NLN": 6440.0, "status": "Known"}, "F6": {"NLN": 7.0, "status": "Known"}, "F4": {"NLN": 102471.0, "status": "Known"}, "ProM": {"NLN": 9323.0, "status": "Known"}, "10": {"NLN": 19.0, "status": "NFP"}, "9": {"NLN": 10.0, "status": "NFP"}, "46d": {"NLN": 20.0, "status": "Known"}, "46v": {"NLN": 23.0, "status": "Known"}, "9/46d": {"NLN": 7.0, "status": "Known"}, "9/46v": {"NLN": 583.0, "status": "Known"}, "8B": {"NLN": 9.0, "status": "Known"}, "8l": {"NLN": 181.0, "status": "Known"}, "8m": {"NLN": 9.0, "status": "Known"}, "8r": {"NLN": 53.0, "status": "Known"}, "45B": {"NLN": 28.0, "status": "Known"}, "45A": {"NLN": 6.0, "status": "NFP"}, "44": {"NLN": 586.0, "status": "Known"}, "OPRO": {"NLN": 1631.0, "status": "NFP"}, "OPAI": {"NLN": 60.0, "status": "NFP"}, "11": {"NLN": 31.0, "status": "NFP"}, "14": {"NLN": 3.0, "status": "NFP"}, "25": {"NLN": 1.0, "status": "NFP"}, "12": {"NLN": 2492.0, "status": "Known"}, "13": {"NLN": 24.0, "status": "Known"}}}, "BB272LH": {"target_area": "8m", "source_areas": {"V2": {"NLN": 10.0, "status": "Known"}, "V3": {"NLN": 4.0, "status": "Known"}, "V3A": {"NLN": 1.0, "status": "Known"}, "V4": {"NLN": 9.0, "status": "Known"}, "V4t": {"NLN": 12.0, "status": "Known"}, "7op": {"NLN": 47.0, "status": "NFP"}, "7A": {"NLN": 134.0, "status": "Known"}, "7B": {"NLN": 64.0, "status": "Known"}, "LIP": {"NLN": 512.0, "status": "Known"}, "VIP": {"NLN": 61.0, "status": "Known"}, "MIP": {"NLN": 1.0, "status": "NFP"}, "PIP": {"NLN": 3.0, "status": "NFP"}, "AIP": {"NLN": 75.0, "status": "NFP"}, "DP": {"NLN": 17.0, "status": "Known"}, "V6A": {"NLN": 48.0, "status": "NFP"}, "5": {"NLN": 7.0, "status": "Known"}, "7m": {"NLN": 42.0, "status": "NFP"}, "STPr": {"NLN": 120.0, "status": "NFP"}, "STPi": {"NLN": 1171.0, "status": "Known"}, "STPc": {"NLN": 2774.0, "status": "Known"}, "TPt": {"NLN": 7.0, "status": "Known"}, "PGa": {"NLN": 339.0, "status": "Known"}, "IPa": {"NLN": 8.0, "status": "Known"}, "FST": {"NLN": 227.0, "status": "Known"}, "MST": {"NLN": 171.0, "status": "Known"}, "MT": {"NLN": 56.0, "status": "Known"}, "TEOm": {"NLN": 2.0, "status": "NFP"}, "PERI": {"NLN": 2.0, "status": "NFP"}, "TEpd": {"NLN": 4.0, "status": "Known"}, "TEpv": {"NLN": 1.0, "status": "Known"}, "TEa/ma": {"NLN": 3.0, "status": "NFP"}, "TEa/mp": {"NLN": 11.0, "status": "NFP"}, "ENTO": {"NLN": 5.0, "status": "NFP"}, "TH/TF": {"NLN": 1.0, "status": "Known"}, "POLE": {"NLN": 12.0, "status": "Known"}, "CORE": {"NLN": 58.0, "status": "Known"}, "MB": {"NLN": 142.0, "status": "Known"}, "LB": {"NLN": 95.0, "status": "Known"}, "PBr": {"NLN": 97.0, "status": "Known"}, "PBc": {"NLN": 423.0, "status": "Known"}, "Parainsula": {"NLN": 12.0, "status": "NFP"}, "INSULA": {"NLN": 245.0, "status": "Known"}, "Gu": {"NLN": 8.0, "status": "NFP"}, "SII": {"NLN": 73.0, "status": "NFP"}, "2": {"NLN": 4.0, "status": "NFP"}, "3": {"NLN": 2.0, "status": "Known"}, "23": {"NLN": 21.0, "status": "Known"}, "24a": {"NLN": 58.0, "status": "Known"}, "24b": {"NLN": 83.0, "status": "Known"}, "24c": {"NLN": 195.0, "status": "Known"}, "24d": {"NLN": 30.0, "status": "NFP"}, "29/30": {"NLN": 10.0, "status": "Known"}, "31": {"NLN": 3.0, "status": "Known"}, "32": {"NLN": 24.0, "status": "NFP"}, "F1": {"NLN": 70.0, "status": "NFP"}, "F2": {"NLN": 1760.0, "status": "Known"}, "F7": {"NLN": 8801.0, "status": "Known"}, "F3": {"NLN": 19.0, "status": "NFP"}, "F6": {"NLN": 104.0, "status": "Known"}, "F4": {"NLN": 3148.0, "status": "Known"}, "F5": {"NLN": 573.0, "status": "NFP"}, "ProM": {"NLN": 47.0, "status": "NFP"}, "10": {"NLN": 172.0, "status": "NFP"}, "9": {"NLN": 176.0, "status": "Known"}, "46d": {"NLN": 9125.0, "status": "Known"}, "46v": {"NLN": 2746.0, "status": "Known"}, "9/46d": {"NLN": 3083.0, "status": "Known"}, "9/46v": {"NLN": 7542.0, "status": "Known"}, "8B": {"NLN": 1393.0, "status": "Known"}, "8l": {"NLN": 15075.0, "status": "Known"}, "8r": {"NLN": 5783.0, "status": "Known"}, "45B": {"NLN": 10071.0, "status": "Known"}, "45A": {"NLN": 2141.0, "status": "Known"}, "44": {"NLN": 1286.0, "status": "NFP"}, "OPRO": {"NLN": 18.0, "status": "NFP"}, "OPAI": {"NLN": 5.0, "status": "NFP"}, "11": {"NLN": 15.0, "status": "NFP"}, "14": {"NLN": 8.0, "status": "NFP"}, "12": {"NLN": 582.0, "status": "Known"}, "13": {"NLN": 255.0, "status": "NFP"}}}, "BB135LH": {"target_area": "7A", "source_areas": {"V1": {"NLN": 2.0, "status": "NFP"}, "V2": {"NLN": 4.0, "status": "Known"}, "V3A": {"NLN": 4.0, "status": "NFP"}, "V4": {"NLN": 333.0, "status": "Known"}, "7B": {"NLN": 61.0, "status": "Known"}, "LIP": {"NLN": 14318.0, "status": "Known"}, "VIP": {"NLN": 9.0, "status": "Known"}, "MIP": {"NLN": 4.0, "status": "Known"}, "PIP": {"NLN": 35.0, "status": "Known"}, "DP": {"NLN": 2272.0, "status": "Known"}, "V6": {"NLN": 14.0, "status": "Known"}, "V6A": {"NLN": 8665.0, "status": "Known"}, "5": {"NLN": 1133.0, "status": "Known"}, "7m": {"NLN": 2334.0, "status": "Known"}, "STPr": {"NLN": 309.0, "status": "Known"}, "STPi": {"NLN": 4571.0, "status": "Known"}, "STPc": {"NLN": 1455.0, "status": "Known"}, "TPt": {"NLN": 18147.0, "status": "Known"}, "PGa": {"NLN": 1181.0, "status": "Known"}, "IPa": {"NLN": 260.0, "status": "Known"}, "FST": {"NLN": 959.0, "status": "Known"}, "MST": {"NLN": 13952.0, "status": "Known"}, "MT": {"NLN": 6.0, "status": "Known"}, "TEO": {"NLN": 255.0, "status": "Known"}, "TEOm": {"NLN": 254.0, "status": "Known"}, "PERI": {"NLN": 429.0, "status": "Known"}, "TEav": {"NLN": 10.0, "status": "NFP"}, "TEpd": {"NLN": 301.0, "status": "Known"}, "TEpv": {"NLN": 8563.0, "status": "Known"}, "TEa/ma": {"NLN": 43.0, "status": "Known"}, "TEa/mp": {"NLN": 486.0, "status": "Known"}, "ENTO": {"NLN": 493.0, "status": "Known"}, "TH/TF": {"NLN": 92.0, "status": "Known"}, "POLE": {"NLN": 42.0, "status": "Known"}, "MB": {"NLN": 5.0, "status": "NFP"}, "LB": {"NLN": 2.0, "status": "Known"}, "INSULA": {"NLN": 141.0, "status": "Known"}, "2": {"NLN": 2.0, "status": "Known"}, "23": {"NLN": 10197.0, "status": "Known"}, "24a": {"NLN": 10.0, "status": "Known"}, "24b": {"NLN": 650.0, "status": "Known"}, "29/30": {"NLN": 4030.0, "status": "Known"}, "31": {"NLN": 8118.0, "status": "Known"}, "F1": {"NLN": 18.0, "status": "NFP"}, "F2": {"NLN": 829.0, "status": "Known"}, "F7": {"NLN": 10.0, "status": "Known"}, "F3": {"NLN": 55.0, "status": "Known"}, "F5": {"NLN": 145.0, "status": "Known"}, "9": {"NLN": 6.0, "status": "Known"}, "46d": {"NLN": 1612.0, "status": "Known"}, "46v": {"NLN": 16.0, "status": "Known"}, "9/46d": {"NLN": 251.0, "status": "Known"}, "9/46v": {"NLN": 421.0, "status": "Known"}, "8B": {"NLN": 833.0, "status": "Known"}, "8l": {"NLN": 40.0, "status": "Known"}, "8m": {"NLN": 2144.0, "status": "Known"}, "45B": {"NLN": 15.0, "status": "Known"}, "45A": {"NLN": 149.0, "status": "Known"}, "12": {"NLN": 7.0, "status": "Known"}, "13": {"NLN": 2.0, "status": "Known"}}}, "M89LH": {"target_area": "DP", "source_areas": {"V1": {"NLN": 3.0, "status": "NFP"}, "V2": {"NLN": 19967.0, "status": "Known"}, "V3": {"NLN": 1269.0, "status": "Known"}, "V3A": {"NLN": 8044.0, "status": "Known"}, "V4": {"NLN": 84923.0, "status": "Known"}, "V4t": {"NLN": 1989.0, "status": "NFP"}, "Pro.St.": {"NLN": 58.0, "status": "NFP"}, "7A": {"NLN": 29688.0, "status": "Known"}, "LIP": {"NLN": 5083.0, "status": "Known"}, "VIP": {"NLN": 230.0, "status": "Known"}, "MIP": {"NLN": 1632.0, "status": "Known"}, "PIP": {"NLN": 9335.0, "status": "Known"}, "V6": {"NLN": 5083.0, "status": "Known"}, "V6A": {"NLN": 9766.0, "status": "Known"}, "7m": {"NLN": 59.0, "status": "Known"}, "STPr": {"NLN": 2.0, "status": "NFP"}, "STPi": {"NLN": 12.0, "status": "NFP"}, "STPc": {"NLN": 91.0, "status": "NFP"}, "TPt": {"NLN": 24.0, "status": "NFP"}, "PGa": {"NLN": 226.0, "status": "NFP"}, "IPa": {"NLN": 196.0, "status": "NFP"}, "FST": {"NLN": 2609.0, "status": "NFP"}, "MST": {"NLN": 13042.0, "status": "Known"}, "MT": {"NLN": 40862.0, "status": "Known"}, "TEO": {"NLN": 85.0, "status": "Known"}, "TEOm": {"NLN": 1979.0, "status": "NFP"}, "PERI": {"NLN": 14.0, "status": "NFP"}, "TEad": {"NLN": 8.0, "status": "NFP"}, "TEav": {"NLN": 12.0, "status": "NFP"}, "TEpd": {"NLN": 306.0, "status": "Known"}, "TEpv": {"NLN": 6782.0, "status": "Known"}, "TEa/ma": {"NLN": 93.0, "status": "NFP"}, "TEa/mp": {"NLN": 54.0, "status": "NFP"}, "ENTO": {"NLN": 116.0, "status": "NFP"}, "TH/TF": {"NLN": 4528.0, "status": "Known"}, "SUB": {"NLN": 2.0, "status": "NFP"}, "PBc": {"NLN": 36.0, "status": "NFP"}, "INSULA": {"NLN": 1.0, "status": "NFP"}, "23": {"NLN": 508.0, "status": "Known"}, "24b": {"NLN": 228.0, "status": "NFP"}, "24c": {"NLN": 7.0, "status": "NFP"}, "29/30": {"NLN": 100.0, "status": "Known"}, "31": {"NLN": 542.0, "status": "NFP"}, "F2": {"NLN": 387.0, "status": "NFP"}, "F7": {"NLN": 143.0, "status": "NFP"}, "F4": {"NLN": 4.0, "status": "NFP"}, "F5": {"NLN": 4.0, "status": "NFP"}, "9": {"NLN": 4.0, "status": "Known"}, "46d": {"NLN": 190.0, "status": "Known"}, "46v": {"NLN": 21.0, "status": "NFP"}, "9/46d": {"NLN": 197.0, "status": "NFP"}, "8B": {"NLN": 283.0, "status": "Known"}, "8m": {"NLN": 478.0, "status": "Known"}, "8r": {"NLN": 111.0, "status": "Known"}, "45B": {"NLN": 170.0, "status": "Known"}, "45A": {"NLN": 4.0, "status": "NFP"}, "12": {"NLN": 1.0, "status": "NFP"}}}, "M98LH": {"target_area": "2", "source_areas": {"7op": {"NLN": 9.0, "status": "NFP"}, "7A": {"NLN": 3.0, "status": "NFP"}, "7B": {"NLN": 188.0, "status": "NFP"}, "LIP": {"NLN": 108.0, "status": "NFP"}, "VIP": {"NLN": 1.0, "status": "Known"}, "AIP": {"NLN": 770.0, "status": "Known"}, "PERI": {"NLN": 222.0, "status": "Known"}, "TEav": {"NLN": 68.0, "status": "NFP"}, "TEa/ma": {"NLN": 204.0, "status": "Known"}, "ENTO": {"NLN": 400.0, "status": "NFP"}, "POLE": {"NLN": 383.0, "status": "Known"}, "MB": {"NLN": 4.0, "status": "NFP"}, "LB": {"NLN": 3.0, "status": "NFP"}, "INSULA": {"NLN": 4431.0, "status": "Known"}, "Gu": {"NLN": 28602.0, "status": "Known"}, "SII": {"NLN": 43906.0, "status": "Known"}, "1": {"NLN": 4.0, "status": "Known"}, "3": {"NLN": 20.0, "status": "Known"}, "24b": {"NLN": 7.0, "status": "Known"}, "24c": {"NLN": 446.0, "status": "Known"}, "24d": {"NLN": 21.0, "status": "Known"}, "31": {"NLN": 5.0, "status": "NFP"}, "F1": {"NLN": 12.0, "status": "NFP"}, "F3": {"NLN": 278.0, "status": "Known"}, "F4": {"NLN": 578.0, "status": "Known"}, "F5": {"NLN": 56218.0, "status": "Known"}, "ProM": {"NLN": 7453.0, "status": "Known"}, "46d": {"NLN": 2.0, "status": "NFP"}, "9/46v": {"NLN": 3569.0, "status": "Known"}, "44": {"NLN": 2008.0, "status": "Known"}, "OPRO": {"NLN": 5016.0, "status": "Known"}, "OPAI": {"NLN": 723.0, "status": "Known"}, "12": {"NLN": 23657.0, "status": "Known"}, "13": {"NLN": 294.0, "status": "Known"}, "PIRI": {"NLN": 4.0, "status": "NFP"}, "PGa": {"NLN": 4.0, "status": "NFP"}, "2": {"NLN": 4958.0, "status": "Known"}, "24a": {"NLN": 378.0, "status": "NFP"}, "F2": {"NLN": 2.0, "status": "Known"}, "9": {"NLN": 4.0, "status": "NFP"}, "46v": {"NLN": 56.0, "status": "Known"}, "11": {"NLN": 10.0, "status": "NFP"}}}, "M70LH": {"target_area": "5", "source_areas": {"7op": {"NLN": 3235.0, "status": "Known"}, "7A": {"NLN": 4797.0, "status": "Known"}, "7B": {"NLN": 363.0, "status": "Known"}, "LIP": {"NLN": 94.0, "status": "Known"}, "VIP": {"NLN": 536.0, "status": "Known"}, "MIP": {"NLN": 52.0, "status": "Known"}, "AIP": {"NLN": 32.0, "status": "Known"}, "7m": {"NLN": 58.0, "status": "Known"}, "STPi": {"NLN": 64.0, "status": "NFP"}, "TPt": {"NLN": 198.0, "status": "NFP"}, "MST": {"NLN": 10.0, "status": "Known"}, "PERI": {"NLN": 4.0, "status": "NFP"}, "TEa/ma": {"NLN": 8.0, "status": "NFP"}, "ENTO": {"NLN": 12.0, "status": "NFP"}, "POLE": {"NLN": 8.0, "status": "NFP"}, "MB": {"NLN": 12.0, "status": "NFP"}, "INSULA": {"NLN": 294.0, "status": "Known"}, "1": {"NLN": 80.0, "status": "Known"}, "2": {"NLN": 1158.0, "status": "Known"}, "3": {"NLN": 1022.0, "status": "Known"}, "23": {"NLN": 2822.0, "status": "Known"}, "24a": {"NLN": 2.0, "status": "NFP"}, "24b": {"NLN": 400.0, "status": "Known"}, "24d": {"NLN": 192.0, "status": "Known"}, "29/30": {"NLN": 94.0, "status": "Known"}, "31": {"NLN": 64.0, "status": "Known"}, "F1": {"NLN": 10733.0, "status": "Known"}, "F2": {"NLN": 3746.0, "status": "Known"}, "F7": {"NLN": 10.0, "status": "Known"}, "F3": {"NLN": 1421.0, "status": "Known"}, "F6": {"NLN": 112.0, "status": "Known"}, "F5": {"NLN": 218.0, "status": "Known"}, "46d": {"NLN": 6.0, "status": "Known"}, "12": {"NLN": 4.0, "status": "NFP"}}}, "M68LH": {"target_area": "7B", "source_areas": {"V2": {"NLN": 3.0, "status": "NFP"}, "7op": {"NLN": 11436.0, "status": "Known"}, "7A": {"NLN": 29968.0, "status": "Known"}, "LIP": {"NLN": 4358.0, "status": "Known"}, "VIP": {"NLN": 4568.0, "status": "Known"}, "MIP": {"NLN": 5386.0, "status": "Known"}, "AIP": {"NLN": 2022.0, "status": "Known"}, "V6A": {"NLN": 104.0, "status": "Known"}, "5": {"NLN": 1644.0, "status": "Known"}, "7m": {"NLN": 1405.0, "status": "Known"}, "STPr": {"NLN": 12.0, "status": "Known"}, "STPi": {"NLN": 6.0, "status": "Known"}, "STPc": {"NLN": 746.0, "status": "Known"}, "TPt": {"NLN": 966.0, "status": "Known"}, "PGa": {"NLN": 41.0, "status": "NFP"}, "MST": {"NLN": 978.0, "status": "Known"}, "MT": {"NLN": 128.0, "status": "Known"}, "PERI": {"NLN": 6.0, "status": "NFP"}, "TEpv": {"NLN": 4.0, "status": "NFP"}, "TEa/ma": {"NLN": 23.0, "status": "Known"}, "TH/TF": {"NLN": 12.0, "status": "NFP"}, "MB": {"NLN": 38.0, "status": "Known"}, "LB": {"NLN": 109.0, "status": "NFP"}, "PBc": {"NLN": 4.0, "status": "NFP"}, "INSULA": {"NLN": 1099.0, "status": "Known"}, "SII": {"NLN": 4011.0, "status": "Known"}, "2": {"NLN": 232.0, "status": "Known"}, "23": {"NLN": 412.0, "status": "Known"}, "24b": {"NLN": 144.0, "status": "Known"}, "24c": {"NLN": 3.0, "status": "Known"}, "24d": {"NLN": 126.0, "status": "Known"}, "F1": {"NLN": 71.0, "status": "Known"}, "F2": {"NLN": 221.0, "status": "Known"}, "F3": {"NLN": 88.0, "status": "Known"}, "F4": {"NLN": 899.0, "status": "Known"}, "F5": {"NLN": 2763.0, "status": "Known"}, "ProM": {"NLN": 50.0, "status": "Known"}, "46v": {"NLN": 51.0, "status": "Known"}, "9/46d": {"NLN": 19.0, "status": "Known"}, "9/46v": {"NLN": 958.0, "status": "Known"}, "8m": {"NLN": 14.0, "status": "Known"}, "45B": {"NLN": 26.0, "status": "Known"}, "44": {"NLN": 205.0, "status": "Known"}, "12": {"NLN": 76.0, "status": "Known"}}}, "BB289RH": {"target_area": "STPr", "source_areas": {"V2": {"NLN": 4.0, "status": "NFP"}, "V4": {"NLN": 2.0, "status": "NFP"}, "Pro.St.": {"NLN": 73.0, "status": "NFP"}, "7A": {"NLN": 142.0, "status": "Known"}, "LIP": {"NLN": 91.0, "status": "NFP"}, "DP": {"NLN": 28.0, "status": "NFP"}, "STPi": {"NLN": 176360.0, "status": "Known"}, "STPc": {"NLN": 22189.0, "status": "Known"}, "TPt": {"NLN": 10.0, "status": "Known"}, "PGa": {"NLN": 25236.0, "status": "Known"}, "IPa": {"NLN": 15848.0, "status": "Known"}, "FST": {"NLN": 1714.0, "status": "Known"}, "MST": {"NLN": 13860.0, "status": "Known"}, "MT": {"NLN": 10.0, "status": "Known"}, "TEO": {"NLN": 4.0, "status": "NFP"}, "TEOm": {"NLN": 156.0, "status": "NFP"}, "PERI": {"NLN": 7516.0, "status": "Known"}, "TEad": 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"PIRI": {"NLN": 56.0, "status": "NFP"}}}, "BB289LH": {"target_area": "STPi", "source_areas": {"V4t": {"NLN": 3.0, "status": "NFP"}, "Pro.St.": {"NLN": 7.0, "status": "Known"}, "LIP": {"NLN": 4.0, "status": "Known"}, "STPr": {"NLN": 2054.0, "status": "Known"}, "STPc": {"NLN": 22266.0, "status": "Known"}, "TPt": {"NLN": 8.0, "status": "Known"}, "PGa": {"NLN": 400.0, "status": "Known"}, "IPa": {"NLN": 108.0, "status": "NFP"}, "MST": {"NLN": 6616.0, "status": "Known"}, "MT": {"NLN": 4.0, "status": "Known"}, "PERI": {"NLN": 8.0, "status": "Known"}, "TEav": {"NLN": 16.0, "status": "Known"}, "TEpd": {"NLN": 14.0, "status": "NFP"}, "TEa/ma": {"NLN": 8.0, "status": "NFP"}, "TEa/mp": {"NLN": 38.0, "status": "NFP"}, "TH/TF": {"NLN": 60.0, "status": "Known"}, "POLE": {"NLN": 12098.0, "status": "Known"}, "CORE": {"NLN": 1768.0, "status": "Known"}, "MB": {"NLN": 1084.0, "status": "Known"}, "LB": {"NLN": 6776.0, "status": "Known"}, "PBr": {"NLN": 29306.0, "status": "Known"}, "PBc": {"NLN": 5062.0, "status": "Known"}, "Parainsula": {"NLN": 82.0, "status": "Known"}, "INSULA": {"NLN": 58.0, "status": "NFP"}, "Gu": {"NLN": 4.0, "status": "NFP"}, "23": {"NLN": 43.0, "status": "Known"}, "24c": {"NLN": 13.0, "status": "Known"}, "24d": {"NLN": 4.0, "status": "NFP"}, "29/30": {"NLN": 4.0, "status": "Known"}, "32": {"NLN": 32.0, "status": "Known"}, "F7": {"NLN": 8.0, "status": "NFP"}, "F6": {"NLN": 8.0, "status": "NFP"}, "10": {"NLN": 2233.0, "status": "Known"}, "9": {"NLN": 44.0, "status": "Known"}, "46d": {"NLN": 337.0, "status": "Known"}, "46v": {"NLN": 230.0, "status": "Known"}, "9/46d": {"NLN": 19.0, "status": "Known"}, "8B": {"NLN": 20.0, "status": "NFP"}, "8m": {"NLN": 4.0, "status": "Known"}, "45A": {"NLN": 36.0, "status": "NFP"}, "OPRO": {"NLN": 40.0, "status": "NFP"}, "11": {"NLN": 30.0, "status": "NFP"}, "14": {"NLN": 1264.0, "status": "Known"}, "25": {"NLN": 252.0, "status": "Known"}, "12": {"NLN": 565.0, "status": "Known"}, "13": {"NLN": 20.0, "status": "Known"}}}, "M90RH": {"target_area": "STPc", "source_areas": {"V2": {"NLN": 112.0, "status": "Known"}, "V3A": {"NLN": 8.0, "status": "NFP"}, "V4": {"NLN": 392.0, "status": "Known"}, "Pro.St.": {"NLN": 56.0, "status": "Known"}, "7op": {"NLN": 232.0, "status": "Known"}, "7A": {"NLN": 408.0, "status": "Known"}, "7B": {"NLN": 64.0, "status": "Known"}, "LIP": {"NLN": 8072.0, "status": "Known"}, "VIP": {"NLN": 16.0, "status": "NFP"}, "PIP": {"NLN": 1384.0, "status": "Known"}, "DP": {"NLN": 56.0, "status": "NFP"}, "V6A": {"NLN": 4.0, "status": "NFP"}, "5": {"NLN": 8.0, "status": "Known"}, "7m": {"NLN": 12.0, "status": "Known"}, "STPr": {"NLN": 4240.0, "status": "Known"}, "STPi": {"NLN": 121034.0, "status": "Known"}, "TPt": {"NLN": 12956.0, "status": "Known"}, "PGa": {"NLN": 3382.0, "status": "Known"}, "IPa": {"NLN": 1744.0, "status": "Known"}, "FST": {"NLN": 1760.0, "status": "Known"}, "MST": {"NLN": 52360.0, "status": "Known"}, "MT": {"NLN": 208.0, "status": "Known"}, "TEO": {"NLN": 48.0, "status": "NFP"}, 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"Known"}, "31": {"NLN": 504.0, "status": "Known"}, "F7": {"NLN": 216.0, "status": "NFP"}, "F6": {"NLN": 4.0, "status": "NFP"}, "F5": {"NLN": 292.0, "status": "NFP"}, "10": {"NLN": 412.0, "status": "NFP"}, "9": {"NLN": 8.0, "status": "NFP"}, "46d": {"NLN": 1984.0, "status": "Known"}, "46v": {"NLN": 864.0, "status": "Known"}, "9/46d": {"NLN": 648.0, "status": "Known"}, "8B": {"NLN": 232.0, "status": "Known"}, "8l": {"NLN": 140.0, "status": "Known"}, "8m": {"NLN": 1988.0, "status": "Known"}, "8r": {"NLN": 196.0, "status": "Known"}, "45B": {"NLN": 216.0, "status": "Known"}, "45A": {"NLN": 4.0, "status": "Known"}, "12": {"NLN": 1180.0, "status": "Known"}, "13": {"NLN": 642.0, "status": "NFP"}}}, "M108LH": {"target_area": "PBr", "source_areas": {"V2": {"NLN": 4.0, "status": "NFP"}, "V4": {"NLN": 8.0, "status": "NFP"}, "Pro.St.": {"NLN": 2219.0, "status": "NFP"}, "7A": {"NLN": 8.0, "status": "NFP"}, "LIP": {"NLN": 3.0, "status": "NFP"}, "DP": {"NLN": 20.0, "status": "NFP"}, "7m": {"NLN": 76.0, "status": "NFP"}, "STPr": {"NLN": 24873.0, "status": "Known"}, "STPi": {"NLN": 103294.0, "status": "Known"}, "STPc": {"NLN": 22105.0, "status": "Known"}, "TPt": {"NLN": 264.0, "status": "Known"}, "PGa": {"NLN": 866.0, "status": "Known"}, "IPa": {"NLN": 23.0, "status": "Known"}, "FST": {"NLN": 36.0, "status": "Known"}, "MST": {"NLN": 39.0, "status": "NFP"}, "PERI": {"NLN": 423.0, "status": "Known"}, "ENTO": {"NLN": 2803.0, "status": "NFP"}, "TH/TF": {"NLN": 8918.0, "status": "Known"}, "SUB": {"NLN": 10.0, "status": "NFP"}, "POLE": {"NLN": 49969.0, "status": "Known"}, "CORE": {"NLN": 29350.0, "status": "Known"}, "MB": {"NLN": 32822.0, "status": "Known"}, "LB": {"NLN": 17456.0, "status": "Known"}, "PBc": {"NLN": 34695.0, "status": "Known"}, "Parainsula": {"NLN": 2709.0, "status": "Known"}, "INSULA": {"NLN": 467.0, "status": "Known"}, "23": {"NLN": 4490.0, "status": "Known"}, "24a": {"NLN": 440.0, "status": "NFP"}, "24b": {"NLN": 367.0, "status": "Known"}, "24c": {"NLN": 39.0, "status": "Known"}, "24d": {"NLN": 8.0, "status": "NFP"}, "29/30": {"NLN": 2812.0, "status": "NFP"}, "31": {"NLN": 639.0, "status": "NFP"}, "32": {"NLN": 931.0, "status": "Known"}, "F7": {"NLN": 47.0, "status": "Known"}, "F6": {"NLN": 8.0, "status": "NFP"}, "ProM": {"NLN": 3.0, "status": "NFP"}, "10": {"NLN": 3121.0, "status": "Known"}, "9": {"NLN": 440.0, "status": "Known"}, "46d": {"NLN": 1474.0, "status": "Known"}, "46v": {"NLN": 305.0, "status": "Known"}, "9/46d": {"NLN": 1456.0, "status": "Known"}, "8B": {"NLN": 321.0, "status": "NFP"}, "8l": {"NLN": 1.0, "status": "NFP"}, "8m": {"NLN": 156.0, "status": "Known"}, "8r": {"NLN": 2.0, "status": "NFP"}, "45B": {"NLN": 18.0, "status": "NFP"}, "45A": {"NLN": 132.0, "status": "Known"}, "OPRO": {"NLN": 1369.0, "status": "Known"}, "OPAI": {"NLN": 893.0, "status": "Known"}, "11": {"NLN": 244.0, "status": "Known"}, "14": {"NLN": 48.0, "status": "Known"}, "25": {"NLN": 389.0, "status": "Known"}, "12": {"NLN": 2788.0, "status": "Known"}, "13": {"NLN": 1067.0, "status": "Known"}, "PIRI": {"NLN": 102.0, "status": "NFP"}}}, "M128RH": {"target_area": "TEpd", "source_areas": {"V2": {"NLN": 70.0, "status": "Known"}, "V3": {"NLN": 76.0, "status": "NFP"}, "V3A": {"NLN": 140.0, "status": "NFP"}, "V4": {"NLN": 10928.0, "status": "Known"}, "V4t": {"NLN": 23.0, "status": "Known"}, "Pro.St.": {"NLN": 20.0, "status": "NFP"}, "7A": {"NLN": 806.0, "status": "Known"}, "LIP": {"NLN": 1128.0, "status": "Known"}, "PIP": {"NLN": 44.0, "status": "NFP"}, "DP": {"NLN": 32.0, "status": "NFP"}, "STPr": {"NLN": 171.0, "status": "Known"}, "STPi": {"NLN": 10.0, "status": "NFP"}, "STPc": {"NLN": 2.0, "status": "NFP"}, "PGa": {"NLN": 177.0, "status": "Known"}, "IPa": {"NLN": 2532.0, "status": "Known"}, "FST": {"NLN": 417.0, "status": "Known"}, "MST": {"NLN": 4.0, "status": "Known"}, "MT": {"NLN": 6.0, "status": "Known"}, "TEO": {"NLN": 54911.0, "status": "Known"}, "TEOm": {"NLN": 6952.0, "status": "Known"}, "PERI": {"NLN": 13992.0, "status": "Known"}, "TEad": {"NLN": 107159.0, "status": "Known"}, "TEav": {"NLN": 45866.0, "status": "Known"}, "TEpv": {"NLN": 15545.0, "status": "Known"}, "TEa/ma": {"NLN": 25999.0, "status": "Known"}, "TEa/mp": {"NLN": 97279.0, "status": "Known"}, "ENTO": {"NLN": 137.0, "status": "Known"}, "TH/TF": {"NLN": 6460.0, "status": "Known"}, "POLE": {"NLN": 467.0, "status": "Known"}, "CORE": {"NLN": 3.0, "status": "NFP"}, "MB": {"NLN": 2.0, "status": "NFP"}, "LB": {"NLN": 6.0, "status": "NFP"}, "PBr": {"NLN": 24.0, "status": "NFP"}, "Parainsula": {"NLN": 2.0, "status": "NFP"}, "INSULA": {"NLN": 31.0, "status": "NFP"}, "SII": {"NLN": 197.0, "status": "NFP"}, "3": {"NLN": 2.0, "status": "NFP"}, "23": {"NLN": 3.0, "status": "NFP"}, "24a": {"NLN": 108.0, "status": "NFP"}, "24b": {"NLN": 14.0, "status": "NFP"}, "F6": {"NLN": 6.0, "status": "NFP"}, "F5": {"NLN": 3.0, "status": "NFP"}, "46d": {"NLN": 6.0, "status": "Known"}, "46v": {"NLN": 163.0, "status": "Known"}, "9/46v": {"NLN": 566.0, "status": "Known"}, "8l": {"NLN": 1833.0, "status": "Known"}, "8m": {"NLN": 10.0, "status": "Known"}, "8r": {"NLN": 766.0, "status": "Known"}, "45B": {"NLN": 2588.0, "status": "Known"}, "45A": {"NLN": 376.0, "status": "Known"}, "44": {"NLN": 11.0, "status": "Known"}, "OPRO": {"NLN": 32.0, "status": "Known"}, "OPAI": {"NLN": 4.0, "status": "Known"}, "11": {"NLN": 14.0, "status": "NFP"}, "12": {"NLN": 727.0, "status": "Known"}, "13": {"NLN": 136.0, "status": "Known"}, "PIRI": {"NLN": 32.0, "status": "NFP"}}}, "NICO": {"target_area": "24c", "source_areas": {"7op": {"NLN": 252.0, "status": "Known"}, "7A": {"NLN": 575.0, "status": "Known"}, "7B": {"NLN": 312.0, "status": "Known"}, "LIP": {"NLN": 16.0, "status": "NFP"}, "VIP": {"NLN": 10.0, "status": "Known"}, "MIP": {"NLN": 595.0, "status": "NFP"}, "V6": {"NLN": 10.0, "status": "NFP"}, "V6A": {"NLN": 582.0, "status": "NFP"}, "5": {"NLN": 1847.0, "status": "Known"}, "7m": {"NLN": 1410.0, "status": "Known"}, "STPr": {"NLN": 2.0, "status": "Known"}, "STPi": {"NLN": 3.0, "status": "Known"}, "STPc": {"NLN": 11.0, "status": "Known"}, "IPa": {"NLN": 2.0, "status": "Known"}, "MST": {"NLN": 12.0, "status": "Known"}, "TEpv": {"NLN": 2.0, "status": "NFP"}, "CORE": {"NLN": 2.0, "status": "NFP"}, "LB": {"NLN": 2.0, "status": "NFP"}, "INSULA": {"NLN": 1263.0, "status": "Known"}, "SII": {"NLN": 202.0, "status": "Known"}, "1": {"NLN": 2.0, "status": "Known"}, "2": {"NLN": 162.0, "status": "Known"}, "3": {"NLN": 38.0, "status": "Known"}, "23": {"NLN": 1733.0, "status": "Known"}, "24a": {"NLN": 315.0, "status": "Known"}, "24b": {"NLN": 8557.0, "status": "Known"}, "24d": {"NLN": 7340.0, "status": "Known"}, "29/30": {"NLN": 3.0, "status": "Known"}, "31": {"NLN": 23.0, "status": "Known"}, "32": {"NLN": 140.0, "status": "Known"}, "F1": {"NLN": 807.0, "status": "Known"}, "F2": {"NLN": 3547.0, "status": "Known"}, "F7": {"NLN": 5812.0, "status": "Known"}, "F3": {"NLN": 8309.0, "status": "Known"}, "F6": {"NLN": 18928.0, "status": "Known"}, "F4": {"NLN": 222.0, "status": "Known"}, "F5": {"NLN": 1598.0, "status": "Known"}, "ProM": {"NLN": 159.0, "status": "Known"}, "10": {"NLN": 11.0, "status": "Known"}, "9": {"NLN": 964.0, "status": "Known"}, "46d": {"NLN": 35.0, "status": "Known"}, "46v": {"NLN": 167.0, "status": "Known"}, "9/46d": {"NLN": 369.0, "status": "Known"}, "9/46v": {"NLN": 54.0, "status": "Known"}, "8B": {"NLN": 3096.0, "status": "Known"}, "8l": {"NLN": 6.0, "status": "Known"}, "8m": {"NLN": 2.0, "status": "Known"}, "8r": {"NLN": 2.0, "status": "Known"}, "45B": {"NLN": 6.0, "status": "Known"}, "44": {"NLN": 1158.0, "status": "Known"}, "OPRO": {"NLN": 46.0, "status": "Known"}, "11": {"NLN": 3.0, "status": "Known"}, "12": {"NLN": 1500.0, "status": "Known"}}}, "M69LH": {"target_area": "F1", "source_areas": {"7op": {"NLN": 586.0, "status": "Known"}, "7A": {"NLN": 32.0, "status": "Known"}, "5": {"NLN": 9683.0, "status": "Known"}, "STPc": {"NLN": 8.0, "status": "Known"}, "MST": {"NLN": 17.0, "status": "NFP"}, "MB": {"NLN": 28.0, 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"status": "Known"}, "LIP": {"NLN": 8.0, "status": "Known"}, "VIP": {"NLN": 9.0, "status": "Known"}, "MIP": {"NLN": 252.0, "status": "Known"}, "AIP": {"NLN": 6.0, "status": "Known"}, "5": {"NLN": 2146.0, "status": "Known"}, "7m": {"NLN": 853.0, "status": "Known"}, "STPr": {"NLN": 5.0, "status": "NFP"}, "STPi": {"NLN": 51.0, "status": "Known"}, "STPc": {"NLN": 43.0, "status": "Known"}, "TPt": {"NLN": 1546.0, "status": "Known"}, "PGa": {"NLN": 14.0, "status": "NFP"}, "IPa": {"NLN": 6.0, "status": "NFP"}, "MST": {"NLN": 46.0, "status": "Known"}, "MT": {"NLN": 1.0, "status": "NFP"}, "PERI": {"NLN": 4.0, "status": "NFP"}, "TEa/ma": {"NLN": 6.0, "status": "NFP"}, "POLE": {"NLN": 3.0, "status": "NFP"}, "MB": {"NLN": 35.0, "status": "NFP"}, "PBr": {"NLN": 7.0, "status": "NFP"}, "Parainsula": {"NLN": 11.0, "status": "Known"}, "INSULA": {"NLN": 740.0, "status": "Known"}, "SII": {"NLN": 6.0, "status": "Known"}, "3": {"NLN": 662.0, "status": "Known"}, "23": {"NLN": 9530.0, "status": "Known"}, "24a": {"NLN": 36.0, "status": "Known"}, "24b": {"NLN": 2429.0, "status": "Known"}, "24c": {"NLN": 3567.0, "status": "Known"}, "24d": {"NLN": 15382.0, "status": "Known"}, "31": {"NLN": 12.0, "status": "Known"}, "F1": {"NLN": 18590.0, "status": "Known"}, "F7": {"NLN": 2770.0, "status": "Known"}, "F3": {"NLN": 38856.0, "status": "Known"}, "F6": {"NLN": 8612.0, "status": "Known"}, "F4": {"NLN": 483.0, "status": "Known"}, "F5": {"NLN": 4788.0, "status": "Known"}, "ProM": {"NLN": 9.0, "status": "NFP"}, "46v": {"NLN": 52.0, "status": "Known"}, "9/46d": {"NLN": 19.0, "status": "Known"}, "9/46v": {"NLN": 29.0, "status": "Known"}, "8B": {"NLN": 15.0, "status": "Known"}, "8l": {"NLN": 2.0, "status": "Known"}, "8m": {"NLN": 29.0, "status": "Known"}, "8r": {"NLN": 3.0, "status": "Known"}, "45B": {"NLN": 5.0, "status": "NFP"}, "44": {"NLN": 78.0, "status": "Known"}, "OPRO": {"NLN": 28.0, "status": "NFP"}, "12": {"NLN": 14.0, "status": "NFP"}, "13": {"NLN": 8.0, "status": "NFP"}}}, "M102LH": {"target_area": "F7", "source_areas": {"V2": {"NLN": 8.0, "status": "NFP"}, "7op": {"NLN": 34.0, "status": "Known"}, "7A": {"NLN": 188.0, "status": "Known"}, "7B": {"NLN": 5.0, "status": "Known"}, "LIP": {"NLN": 39.0, "status": "Known"}, "VIP": {"NLN": 1.0, "status": "NFP"}, "5": {"NLN": 2.0, "status": "Known"}, "7m": {"NLN": 498.0, "status": "Known"}, "STPr": {"NLN": 582.0, "status": "Known"}, "STPi": {"NLN": 1033.0, "status": "Known"}, "STPc": {"NLN": 163.0, "status": "Known"}, "TPt": {"NLN": 154.0, "status": "Known"}, "PGa": {"NLN": 253.0, "status": "Known"}, "IPa": {"NLN": 264.0, "status": "Known"}, "FST": {"NLN": 7.0, "status": "Known"}, "MST": {"NLN": 56.0, "status": "Known"}, "TEO": {"NLN": 4.0, "status": "NFP"}, "PERI": {"NLN": 5.0, "status": "NFP"}, "TEav": {"NLN": 6.0, "status": "NFP"}, "TEa/ma": {"NLN": 81.0, "status": "Known"}, "TEa/mp": {"NLN": 2.0, "status": "Known"}, "POLE": {"NLN": 53.0, "status": "Known"}, "MB": {"NLN": 140.0, "status": "NFP"}, "PBr": {"NLN": 226.0, "status": "NFP"}, "PBc": {"NLN": 2.0, "status": "Known"}, "Parainsula": {"NLN": 50.0, "status": "Known"}, "INSULA": {"NLN": 218.0, "status": "Known"}, "SII": {"NLN": 2.0, "status": "Known"}, "1": {"NLN": 1.0, "status": "NFP"}, "3": {"NLN": 10.0, "status": "NFP"}, "23": {"NLN": 2691.0, "status": "Known"}, "24a": {"NLN": 956.0, "status": "Known"}, "24b": {"NLN": 5733.0, "status": "Known"}, "24c": {"NLN": 8249.0, "status": "Known"}, "24d": {"NLN": 1578.0, "status": "Known"}, "31": {"NLN": 428.0, "status": "Known"}, "32": {"NLN": 22.0, "status": "Known"}, "F1": {"NLN": 26.0, "status": "Known"}, "F2": {"NLN": 8602.0, "status": "Known"}, "F3": {"NLN": 890.0, "status": "Known"}, "F6": {"NLN": 21432.0, "status": "Known"}, "F4": {"NLN": 241.0, "status": "Known"}, "F5": {"NLN": 189.0, "status": "Known"}, "ProM": {"NLN": 16.0, "status": "Known"}, "10": {"NLN": 132.0, "status": "Known"}, "9": {"NLN": 10258.0, "status": "Known"}, "46d": {"NLN": 80.0, "status": "Known"}, "46v": {"NLN": 1312.0, "status": "Known"}, "9/46d": {"NLN": 2226.0, "status": "Known"}, "9/46v": {"NLN": 339.0, "status": "Known"}, "8B": {"NLN": 9106.0, "status": "Known"}, "8l": {"NLN": 282.0, "status": "Known"}, "8m": {"NLN": 3413.0, "status": "Known"}, "8r": {"NLN": 204.0, "status": "Known"}, "45B": {"NLN": 566.0, "status": "Known"}, "45A": {"NLN": 3073.0, "status": "Known"}, "44": {"NLN": 913.0, "status": "Known"}, "OPRO": {"NLN": 107.0, "status": "Known"}, "11": {"NLN": 24.0, "status": "NFP"}, "14": {"NLN": 2.0, "status": "NFP"}, "12": {"NLN": 1100.0, "status": "Known"}, "13": {"NLN": 236.0, "status": "Known"}}}, "BB272RH": {"target_area": "8l", "source_areas": {"V1": {"NLN": 14.0, "status": "NFP"}, "V2": {"NLN": 342.0, "status": "Known"}, "V3": {"NLN": 531.0, "status": "Known"}, "V3A": {"NLN": 42.0, "status": "Known"}, "V4": {"NLN": 1186.0, "status": "Known"}, "V4t": {"NLN": 30.0, "status": "Known"}, "7op": {"NLN": 11.0, "status": "Known"}, "7A": {"NLN": 148.0, "status": "Known"}, "7B": {"NLN": 3.0, "status": "Known"}, "LIP": {"NLN": 2859.0, "status": "Known"}, "VIP": {"NLN": 160.0, "status": "Known"}, "MIP": {"NLN": 8.0, "status": "Known"}, "PIP": {"NLN": 308.0, "status": "Known"}, "AIP": {"NLN": 10.0, "status": "Known"}, "DP": {"NLN": 51.0, "status": "Known"}, "V6A": {"NLN": 21.0, "status": "Known"}, "5": {"NLN": 6.0, "status": "Known"}, "7m": {"NLN": 10.0, "status": "NFP"}, "STPr": {"NLN": 137.0, "status": "Known"}, "STPi": {"NLN": 563.0, "status": "Known"}, "STPc": {"NLN": 1189.0, "status": "Known"}, "TPt": {"NLN": 42.0, "status": "Known"}, "PGa": {"NLN": 479.0, "status": "Known"}, "IPa": {"NLN": 198.0, "status": "Known"}, "FST": {"NLN": 324.0, "status": "Known"}, "MST": {"NLN": 529.0, "status": "Known"}, "MT": {"NLN": 1986.0, "status": "Known"}, "TEO": {"NLN": 144.0, "status": "Known"}, "TEOm": {"NLN": 257.0, "status": "Known"}, "PERI": {"NLN": 13.0, "status": "Known"}, "TEad": {"NLN": 3.0, "status": "Known"}, "TEav": {"NLN": 13.0, "status": "NFP"}, "TEpd": {"NLN": 14.0, "status": "Known"}, "TEpv": {"NLN": 125.0, "status": "Known"}, "TEa/ma": {"NLN": 13.0, "status": "Known"}, "TEa/mp": {"NLN": 9.0, "status": "Known"}, "ENTO": {"NLN": 28.0, "status": "NFP"}, "TH/TF": {"NLN": 124.0, "status": "Known"}, "SUB": {"NLN": 2.0, "status": "NFP"}, "POLE": {"NLN": 49.0, "status": "NFP"}, "CORE": {"NLN": 68.0, "status": "NFP"}, "MB": {"NLN": 198.0, "status": "NFP"}, "LB": {"NLN": 44.0, "status": "Known"}, "PBr": {"NLN": 96.0, "status": "NFP"}, "PBc": {"NLN": 196.0, "status": "NFP"}, "Parainsula": {"NLN": 32.0, "status": "NFP"}, "INSULA": {"NLN": 902.0, "status": "Known"}, "Gu": {"NLN": 129.0, "status": "NFP"}, "SII": {"NLN": 128.0, "status": "NFP"}, "2": {"NLN": 23.0, "status": "NFP"}, "3": {"NLN": 24.0, "status": "NFP"}, "23": {"NLN": 74.0, "status": "Known"}, "24a": {"NLN": 408.0, "status": "Known"}, "24b": {"NLN": 227.0, "status": "Known"}, "24c": {"NLN": 237.0, "status": "NFP"}, "24d": {"NLN": 103.0, "status": "NFP"}, "29/30": {"NLN": 24.0, "status": "NFP"}, "31": {"NLN": 7.0, "status": "NFP"}, "32": {"NLN": 10.0, "status": "NFP"}, "F1": {"NLN": 181.0, "status": "Known"}, "F2": {"NLN": 1860.0, "status": "Known"}, "F7": {"NLN": 2552.0, "status": "Known"}, "F3": {"NLN": 22.0, "status": "NFP"}, "F6": {"NLN": 228.0, "status": "Known"}, "F4": {"NLN": 531.0, "status": "Known"}, "F5": {"NLN": 1244.0, "status": "Known"}, "ProM": {"NLN": 171.0, "status": "Known"}, "10": {"NLN": 52.0, "status": "NFP"}, "9": {"NLN": 252.0, "status": "Known"}, "46d": {"NLN": 3825.0, "status": "Known"}, "46v": {"NLN": 1090.0, "status": "Known"}, "9/46d": {"NLN": 1005.0, "status": "Known"}, "9/46v": {"NLN": 2439.0, "status": "Known"}, "8B": {"NLN": 2018.0, "status": "Known"}, "8m": {"NLN": 40660.0, "status": "Known"}, "8r": {"NLN": 12083.0, "status": "Known"}, "45B": {"NLN": 6673.0, "status": "Known"}, "45A": {"NLN": 1220.0, "status": "Known"}, "44": {"NLN": 1886.0, "status": "Known"}, "OPRO": {"NLN": 432.0, "status": "NFP"}, "OPAI": {"NLN": 57.0, "status": "NFP"}, "11": {"NLN": 53.0, "status": "NFP"}, "14": {"NLN": 6.0, "status": "NFP"}, "25": {"NLN": 5.0, "status": "NFP"}, "12": {"NLN": 2078.0, "status": "Known"}, "13": {"NLN": 356.0, "status": "NFP"}, "PIRI": {"NLN": 9.0, "status": "NFP"}}}, "M116RH": {"target_area": "9/46v", "source_areas": {"V3": {"NLN": 4.0, "status": "Known"}, "7op": {"NLN": 146.0, "status": "Known"}, "7A": {"NLN": 7614.0, "status": "Known"}, "7B": {"NLN": 6664.0, "status": "Known"}, "LIP": {"NLN": 5516.0, "status": "Known"}, "VIP": {"NLN": 12.0, "status": "NFP"}, "AIP": {"NLN": 706.0, "status": "Known"}, "V6A": {"NLN": 28.0, "status": "Known"}, "5": {"NLN": 24.0, "status": "NFP"}, "7m": {"NLN": 266.0, "status": "Known"}, "STPr": {"NLN": 99.0, "status": "Known"}, "STPi": {"NLN": 252.0, "status": "Known"}, "STPc": {"NLN": 336.0, "status": "Known"}, "TPt": {"NLN": 748.0, "status": "NFP"}, "PGa": {"NLN": 1823.0, "status": "Known"}, "IPa": {"NLN": 3066.0, "status": "Known"}, "FST": {"NLN": 8.0, "status": "Known"}, "MST": {"NLN": 196.0, "status": "NFP"}, "TEOm": {"NLN": 8.0, "status": "NFP"}, "PERI": {"NLN": 748.0, "status": "Known"}, "TEad": {"NLN": 80.0, "status": "NFP"}, "TEav": {"NLN": 148.0, "status": "Known"}, "TEpd": {"NLN": 36.0, "status": "NFP"}, "TEpv": {"NLN": 240.0, "status": "Known"}, "TEa/ma": {"NLN": 3884.0, "status": "Known"}, "TEa/mp": {"NLN": 6954.0, "status": "Known"}, "ENTO": {"NLN": 8.0, "status": "NFP"}, "TH/TF": {"NLN": 21.0, "status": "Known"}, "POLE": {"NLN": 248.0, "status": "Known"}, "MB": {"NLN": 12.0, "status": "NFP"}, "PBr": {"NLN": 4.0, "status": "NFP"}, "PBc": {"NLN": 7.0, "status": "NFP"}, "Parainsula": {"NLN": 8.0, "status": "NFP"}, "INSULA": {"NLN": 3445.0, "status": "Known"}, "Gu": {"NLN": 52.0, "status": "NFP"}, "SII": {"NLN": 7711.0, "status": "Known"}, "2": {"NLN": 618.0, "status": "Known"}, "3": {"NLN": 12.0, "status": "NFP"}, "23": {"NLN": 4041.0, "status": "Known"}, "24a": {"NLN": 5584.0, "status": "Known"}, "24b": {"NLN": 948.0, "status": "Known"}, "24c": {"NLN": 2352.0, "status": "Known"}, "24d": {"NLN": 388.0, "status": "NFP"}, "29/30": {"NLN": 2342.0, "status": "NFP"}, "31": {"NLN": 12.0, "status": "NFP"}, "32": {"NLN": 31.0, "status": "NFP"}, "F1": {"NLN": 20.0, "status": "NFP"}, "F2": {"NLN": 1768.0, "status": "Known"}, "F7": {"NLN": 2992.0, "status": "Known"}, "F3": {"NLN": 423.0, "status": "Known"}, "F6": {"NLN": 3136.0, "status": "Known"}, "F4": {"NLN": 5016.0, "status": "Known"}, "F5": {"NLN": 6168.0, "status": "Known"}, "ProM": {"NLN": 3148.0, "status": "Known"}, "10": {"NLN": 82.0, "status": "NFP"}, "9": {"NLN": 187.0, "status": "NFP"}, "46d": {"NLN": 13150.0, "status": "Known"}, "46v": {"NLN": 102710.0, "status": "Known"}, "9/46d": {"NLN": 4994.0, "status": "Known"}, "8B": {"NLN": 5628.0, "status": "Known"}, "8l": {"NLN": 1052.0, "status": "Known"}, "8m": {"NLN": 11844.0, "status": "Known"}, "8r": {"NLN": 660.0, "status": "Known"}, "45B": {"NLN": 2608.0, "status": "Known"}, "45A": {"NLN": 19496.0, "status": "Known"}, "44": {"NLN": 27884.0, "status": "Known"}, "OPRO": {"NLN": 2276.0, "status": "Known"}, "OPAI": {"NLN": 100.0, "status": "Known"}, "11": {"NLN": 20564.0, "status": "Known"}, "14": {"NLN": 160.0, "status": "Known"}, "12": {"NLN": 33186.0, "status": "Known"}, "13": {"NLN": 5064.0, "status": "Known"}}}, "M116LH": {"target_area": "46d", "source_areas": {"V2": {"NLN": 540.0, "status": "NFP"}, "V3": {"NLN": 28.0, "status": "NFP"}, "7op": {"NLN": 4.0, "status": "NFP"}, "7A": {"NLN": 124.0, "status": "Known"}, "LIP": {"NLN": 8.0, "status": "Known"}, "VIP": {"NLN": 4.0, "status": "NFP"}, "MIP": {"NLN": 4.0, "status": "NFP"}, "DP": {"NLN": 62.0, "status": "NFP"}, "V6A": {"NLN": 18.0, "status": "NFP"}, "7m": {"NLN": 180.0, "status": "Known"}, "STPr": {"NLN": 148.0, "status": "Known"}, "STPi": {"NLN": 3179.0, "status": "Known"}, "STPc": {"NLN": 1070.0, "status": "Known"}, "PGa": {"NLN": 716.0, "status": "NFP"}, "MST": {"NLN": 4.0, "status": "NFP"}, "MT": {"NLN": 4.0, "status": "NFP"}, "TEO": {"NLN": 4.0, 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"status": "NFP"}, "F6": {"NLN": 800.0, "status": "NFP"}, "F4": {"NLN": 8.0, "status": "NFP"}, "F5": {"NLN": 12.0, "status": "NFP"}, "10": {"NLN": 18094.0, "status": "Known"}, "9": {"NLN": 28219.0, "status": "Known"}, "46v": {"NLN": 14071.0, "status": "Known"}, "9/46d": {"NLN": 145390.0, "status": "Known"}, "9/46v": {"NLN": 28.0, "status": "Known"}, "8B": {"NLN": 9436.0, "status": "Known"}, "8l": {"NLN": 16.0, "status": "Known"}, "8m": {"NLN": 7612.0, "status": "Known"}, "8r": {"NLN": 1020.0, "status": "Known"}, "45A": {"NLN": 348.0, "status": "Known"}, "44": {"NLN": 20.0, "status": "NFP"}, "OPRO": {"NLN": 116.0, "status": "NFP"}, "11": {"NLN": 634.0, "status": "NFP"}, "14": {"NLN": 536.0, "status": "Known"}, "12": {"NLN": 853.0, "status": "Known"}, "13": {"NLN": 136.0, "status": "Known"}}}, "M128LH": {"target_area": "8B", "source_areas": {"V4": {"NLN": 2.0, "status": "NFP"}, "7A": {"NLN": 230.0, "status": "Known"}, "LIP": {"NLN": 148.0, "status": "Known"}, "DP": {"NLN": 27.0, "status": "NFP"}, "7m": {"NLN": 686.0, "status": "Known"}, "STPr": {"NLN": 4952.0, "status": "Known"}, "STPi": {"NLN": 3720.0, "status": "Known"}, "STPc": {"NLN": 14.0, "status": "NFP"}, "PGa": {"NLN": 1027.0, "status": "NFP"}, "IPa": {"NLN": 184.0, "status": "NFP"}, "FST": {"NLN": 57.0, "status": "NFP"}, "PERI": {"NLN": 9.0, "status": "NFP"}, "TEad": {"NLN": 4.0, "status": "NFP"}, "TEa/ma": {"NLN": 24.0, "status": "NFP"}, "TEa/mp": {"NLN": 8.0, "status": "NFP"}, "ENTO": {"NLN": 40.0, "status": "NFP"}, "TH/TF": {"NLN": 77.0, "status": "Known"}, "POLE": {"NLN": 2328.0, "status": "NFP"}, "CORE": {"NLN": 4.0, "status": "NFP"}, "MB": {"NLN": 10.0, "status": "NFP"}, "LB": {"NLN": 7.0, "status": "Known"}, "PBr": {"NLN": 91.0, "status": "NFP"}, "Parainsula": {"NLN": 16.0, "status": "NFP"}, "INSULA": {"NLN": 26.0, "status": "NFP"}, "SII": {"NLN": 2.0, "status": "NFP"}, "23": {"NLN": 1691.0, "status": "Known"}, "24a": {"NLN": 657.0, "status": "Known"}, "24b": {"NLN": 2107.0, "status": "NFP"}, "24c": {"NLN": 24248.0, "status": "NFP"}, "24d": {"NLN": 36.0, "status": "NFP"}, "29/30": {"NLN": 139.0, "status": "Known"}, "31": {"NLN": 183.0, "status": "Known"}, "32": {"NLN": 8796.0, "status": "Known"}, "F1": {"NLN": 2.0, "status": "NFP"}, "F2": {"NLN": 22.0, "status": "Known"}, "F7": {"NLN": 39132.0, "status": "Known"}, "F6": {"NLN": 16946.0, "status": "Known"}, "F4": {"NLN": 8.0, "status": "NFP"}, "F5": {"NLN": 2.0, "status": "NFP"}, "10": {"NLN": 34149.0, "status": "Known"}, "9": {"NLN": 45672.0, "status": "Known"}, "46d": {"NLN": 10340.0, "status": "Known"}, "46v": {"NLN": 10136.0, "status": "Known"}, "9/46d": {"NLN": 22512.0, "status": "Known"}, "9/46v": {"NLN": 38.0, "status": "NFP"}, "8l": {"NLN": 242.0, "status": "Known"}, "8m": {"NLN": 12704.0, "status": "Known"}, "8r": {"NLN": 151.0, "status": "Known"}, "45B": {"NLN": 124.0, "status": "Known"}, "45A": {"NLN": 72.0, "status": "Known"}, "44": {"NLN": 14.0, "status": "NFP"}, "OPRO": {"NLN": 1400.0, "status": "NFP"}, "OPAI": {"NLN": 68.0, "status": "NFP"}, "11": {"NLN": 3288.0, "status": "NFP"}, "14": {"NLN": 1435.0, "status": "Known"}, "25": {"NLN": 40.0, "status": "NFP"}, "12": {"NLN": 5808.0, "status": "Known"}, "13": {"NLN": 2908.0, "status": "Known"}, "PIRI": {"NLN": 104.0, "status": "NFP"}}}, "M131LH": {"target_area": "10", "source_areas": {"V2": {"NLN": 2.0, "status": "Known"}, "Pro.St.": {"NLN": 22.0, "status": "Known"}, "7op": {"NLN": 8.0, "status": "NFP"}, "7A": {"NLN": 128.0, "status": "NFP"}, "LIP": {"NLN": 2.0, "status": "NFP"}, "MIP": {"NLN": 2.0, "status": "NFP"}, "PIP": {"NLN": 16.0, "status": "NFP"}, "DP": {"NLN": 86.0, "status": "NFP"}, "STPr": {"NLN": 5828.0, "status": "Known"}, "STPi": {"NLN": 8100.0, "status": "Known"}, "STPc": {"NLN": 1768.0, "status": "Known"}, "PGa": {"NLN": 389.0, "status": "NFP"}, "IPa": {"NLN": 32.0, "status": "NFP"}, "FST": {"NLN": 32.0, "status": "NFP"}, "PERI": {"NLN": 22.0, "status": "Known"}, "TEav": {"NLN": 8.0, "status": "Known"}, "TEpd": {"NLN": 2.0, "status": "NFP"}, "TEpv": {"NLN": 2.0, "status": "NFP"}, "TEa/ma": {"NLN": 5.0, "status": "Known"}, "TEa/mp": {"NLN": 1.0, "status": "NFP"}, "ENTO": {"NLN": 90.0, "status": "Known"}, "TH/TF": {"NLN": 187.0, "status": "Known"}, "SUB": {"NLN": 6.0, "status": "NFP"}, "POLE": {"NLN": 7094.0, "status": "Known"}, "CORE": {"NLN": 68.0, "status": "Known"}, "MB": {"NLN": 315.0, "status": "Known"}, "LB": {"NLN": 229.0, "status": "Known"}, "PBr": {"NLN": 5736.0, "status": "Known"}, "PBc": {"NLN": 1844.0, "status": "Known"}, "Parainsula": {"NLN": 177.0, "status": "Known"}, "INSULA": {"NLN": 82.0, "status": "Known"}, "23": {"NLN": 1080.0, "status": "Known"}, "24a": {"NLN": 32.0, "status": "Known"}, "24b": {"NLN": 168.0, "status": "Known"}, "24c": {"NLN": 317.0, "status": "Known"}, "24d": {"NLN": 96.0, "status": "NFP"}, "29/30": {"NLN": 236.0, "status": "Known"}, "31": {"NLN": 108.0, "status": "Known"}, "32": {"NLN": 2638.0, "status": "Known"}, "F2": {"NLN": 25.0, "status": "NFP"}, "F7": {"NLN": 236.0, "status": "NFP"}, "F6": {"NLN": 2.0, "status": "NFP"}, "F4": {"NLN": 3.0, "status": "NFP"}, "9": {"NLN": 21478.0, "status": "Known"}, "46d": {"NLN": 43373.0, "status": "Known"}, "46v": {"NLN": 30350.0, "status": "Known"}, "9/46d": {"NLN": 25.0, "status": "Known"}, "8B": {"NLN": 1665.0, "status": "Known"}, "8l": {"NLN": 308.0, "status": "Known"}, "8m": {"NLN": 2960.0, "status": "Known"}, "8r": {"NLN": 16.0, "status": "NFP"}, "45B": {"NLN": 230.0, "status": "Known"}, "45A": {"NLN": 690.0, "status": "Known"}, "44": {"NLN": 2.0, "status": "Known"}, "OPRO": {"NLN": 2880.0, "status": "Known"}, "OPAI": {"NLN": 16.0, "status": "Known"}, "11": {"NLN": 2671.0, "status": "Known"}, "14": {"NLN": 28468.0, "status": "Known"}, "25": {"NLN": 4660.0, "status": "Known"}, "12": {"NLN": 12983.0, "status": "Known"}, "13": {"NLN": 5888.0, "status": "Known"}}}, "M133LH": {"target_area": "MT", "source_areas": {"V1": {"NLN": 12757.0, "status": "Known"}, "V2": {"NLN": 80233.0, "status": "Known"}, "V3": {"NLN": 34282.0, "status": "Known"}, "V3A": {"NLN": 22510.0, "status": "Known"}, "V4": {"NLN": 255836.0, "status": "Known"}, "V4t": {"NLN": 51790.0, "status": "Known"}, "Pro.St.": {"NLN": 6.0, "status": "NFP"}, "7A": {"NLN": 304.0, "status": "Known"}, "LIP": {"NLN": 15358.0, "status": "Known"}, "VIP": {"NLN": 1004.0, "status": "Known"}, "MIP": {"NLN": 8.0, "status": "Known"}, "PIP": {"NLN": 6261.0, "status": "Known"}, "DP": {"NLN": 9836.0, "status": "Known"}, "V6A": {"NLN": 2.0, "status": "Known"}, "STPr": {"NLN": 163.0, "status": "NFP"}, "STPi": {"NLN": 146.0, "status": "NFP"}, "STPc": {"NLN": 1196.0, "status": "Known"}, "TPt": {"NLN": 18.0, "status": "NFP"}, "PGa": {"NLN": 4074.0, "status": "NFP"}, "IPa": {"NLN": 895.0, "status": "Known"}, "FST": {"NLN": 41544.0, "status": "Known"}, "MST": {"NLN": 3857.0, "status": "Known"}, "TEO": {"NLN": 25656.0, "status": "Known"}, "TEOm": {"NLN": 59404.0, "status": "Known"}, "PERI": {"NLN": 596.0, "status": "NFP"}, "TEad": {"NLN": 712.0, 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"NFP"}, "9/46d": {"NLN": 4.0, "status": "NFP"}, "9/46v": {"NLN": 26.0, "status": "NFP"}, "8l": {"NLN": 1528.0, "status": "Known"}, "8m": {"NLN": 422.0, "status": "Known"}, "8r": {"NLN": 54.0, "status": "NFP"}, "45B": {"NLN": 336.0, "status": "NFP"}, "45A": {"NLN": 2.0, "status": "NFP"}, "OPRO": {"NLN": 2.0, "status": "NFP"}}}, "M136RH": {"target_area": "7m", "source_areas": {"V1": {"NLN": 9.0, "status": "NFP"}, "V2": {"NLN": 487.0, "status": "Known"}, "V3": {"NLN": 6.0, "status": "Known"}, "V3A": {"NLN": 58.0, "status": "NFP"}, "V4": {"NLN": 123.0, "status": "NFP"}, "Pro.St.": {"NLN": 54.0, "status": "NFP"}, "7op": {"NLN": 182.0, "status": "Known"}, "7A": {"NLN": 26357.0, "status": "Known"}, "7B": {"NLN": 2.0, "status": "Known"}, "LIP": {"NLN": 10434.0, "status": "Known"}, "VIP": {"NLN": 2815.0, "status": "Known"}, "MIP": {"NLN": 9189.0, "status": "Known"}, "PIP": {"NLN": 1601.0, "status": "Known"}, "AIP": {"NLN": 105.0, "status": "NFP"}, "DP": {"NLN": 4510.0, "status": "Known"}, "V6": {"NLN": 780.0, "status": "Known"}, "V6A": {"NLN": 145681.0, "status": "Known"}, "5": {"NLN": 2388.0, "status": "Known"}, "STPr": {"NLN": 20.0, "status": "Known"}, "STPi": {"NLN": 30.0, "status": "Known"}, "STPc": {"NLN": 3921.0, "status": "Known"}, "TPt": {"NLN": 1242.0, "status": "Known"}, "PGa": {"NLN": 210.0, "status": "NFP"}, "IPa": {"NLN": 46.0, "status": "NFP"}, "FST": {"NLN": 18.0, "status": "NFP"}, "MST": {"NLN": 26839.0, "status": "Known"}, "MT": {"NLN": 307.0, "status": "Known"}, "PERI": {"NLN": 60.0, "status": "Known"}, "TEpd": {"NLN": 2.0, "status": "NFP"}, "TEpv": {"NLN": 195.0, "status": "NFP"}, "TEa/mp": {"NLN": 6.0, "status": "NFP"}, "ENTO": {"NLN": 14.0, "status": "Known"}, "TH/TF": {"NLN": 196.0, "status": "Known"}, "MB": {"NLN": 104.0, "status": "Known"}, "LB": {"NLN": 112.0, "status": "NFP"}, "PBr": {"NLN": 2.0, "status": "NFP"}, "PBc": {"NLN": 326.0, "status": "NFP"}, "INSULA": {"NLN": 52.0, "status": "Known"}, "1": {"NLN": 52.0, "status": "Known"}, "2": {"NLN": 4.0, "status": "Known"}, "3": {"NLN": 10.0, "status": "Known"}, "23": {"NLN": 30620.0, "status": "Known"}, "24a": {"NLN": 368.0, "status": "Known"}, "24b": {"NLN": 3407.0, "status": "Known"}, "24c": {"NLN": 554.0, "status": "Known"}, "24d": {"NLN": 3067.0, "status": "Known"}, "29/30": {"NLN": 1899.0, "status": "Known"}, "31": {"NLN": 8990.0, "status": "Known"}, "32": {"NLN": 12.0, "status": "Known"}, "F1": {"NLN": 103.0, "status": "Known"}, "F2": {"NLN": 10644.0, "status": "Known"}, "F7": {"NLN": 4505.0, "status": "Known"}, "F3": {"NLN": 562.0, "status": "Known"}, "F6": {"NLN": 638.0, "status": "Known"}, "F5": {"NLN": 10.0, "status": "Known"}, "9": {"NLN": 162.0, "status": "Known"}, "46d": {"NLN": 1442.0, "status": "Known"}, "46v": {"NLN": 1941.0, "status": "Known"}, "9/46d": {"NLN": 7248.0, "status": "Known"}, "9/46v": {"NLN": 416.0, "status": "Known"}, "8B": {"NLN": 12896.0, "status": "Known"}, "8l": {"NLN": 194.0, "status": "NFP"}, "8m": {"NLN": 6238.0, "status": "Known"}, "8r": {"NLN": 1236.0, "status": "Known"}, "45B": {"NLN": 38.0, "status": "Known"}, "44": {"NLN": 56.0, "status": "NFP"}, "11": {"NLN": 10.0, "status": "NFP"}, "14": {"NLN": 7.0, "status": "NFP"}, "25": {"NLN": 8.0, "status": "NFP"}, "12": {"NLN": 14.0, "status": "NFP"}, "13": {"NLN": 8.0, "status": "NFP"}}}, "M136LH": {"target_area": "10", "source_areas": {"V2": {"NLN": 6.0, "status": "Known"}, "Pro.St.": {"NLN": 2026.0, "status": "Known"}, "7A": {"NLN": 1.0, "status": "NFP"}, "DP": {"NLN": 1.0, "status": "NFP"}, "STPr": {"NLN": 12168.0, "status": "Known"}, "STPi": {"NLN": 3234.0, "status": "Known"}, "STPc": {"NLN": 2372.0, "status": "Known"}, "PGa": {"NLN": 858.0, "status": "NFP"}, "IPa": {"NLN": 90.0, "status": "NFP"}, "FST": {"NLN": 16.0, "status": "NFP"}, "PERI": {"NLN": 298.0, "status": "Known"}, "TEad": {"NLN": 8.0, "status": "NFP"}, "TEav": {"NLN": 36.0, "status": "Known"}, "TEpd": {"NLN": 4.0, "status": "NFP"}, "TEpv": {"NLN": 2.0, "status": "NFP"}, "TEa/ma": {"NLN": 98.0, "status": "Known"}, "ENTO": {"NLN": 81.0, "status": "Known"}, "TH/TF": {"NLN": 441.0, "status": "Known"}, "SUB": {"NLN": 19.0, "status": "NFP"}, "POLE": {"NLN": 5526.0, "status": "Known"}, "CORE": {"NLN": 256.0, "status": "Known"}, "MB": {"NLN": 206.0, "status": "Known"}, "LB": {"NLN": 665.0, "status": "Known"}, "PBr": {"NLN": 6334.0, "status": "Known"}, "PBc": {"NLN": 171.0, "status": "Known"}, "Parainsula": {"NLN": 54.0, "status": "Known"}, "INSULA": {"NLN": 62.0, "status": "Known"}, "23": {"NLN": 6158.0, "status": "Known"}, "24a": {"NLN": 494.0, "status": "Known"}, "24b": {"NLN": 150.0, "status": "Known"}, "24c": {"NLN": 670.0, "status": "Known"}, "24d": {"NLN": 8.0, "status": "NFP"}, "29/30": {"NLN": 353.0, "status": "Known"}, "31": {"NLN": 778.0, "status": "Known"}, "32": {"NLN": 16745.0, "status": "Known"}, "F1": {"NLN": 2.0, "status": "NFP"}, "F2": {"NLN": 18.0, "status": "NFP"}, "F7": {"NLN": 210.0, "status": "NFP"}, "F6": {"NLN": 8.0, "status": "NFP"}, "F4": {"NLN": 2.0, "status": "NFP"}, "F5": {"NLN": 10.0, "status": "Known"}, "9": {"NLN": 32009.0, "status": "Known"}, "46d": {"NLN": 36892.0, "status": "Known"}, "46v": {"NLN": 25822.0, "status": "Known"}, "9/46d": {"NLN": 2758.0, "status": "Known"}, "9/46v": {"NLN": 8.0, "status": "Known"}, "8B": {"NLN": 4912.0, "status": "Known"}, "8l": {"NLN": 24.0, "status": "Known"}, "8m": {"NLN": 590.0, "status": "Known"}, "8r": {"NLN": 10.0, "status": "NFP"}, "45B": {"NLN": 42.0, "status": "Known"}, "45A": {"NLN": 20.0, "status": "Known"}, "44": {"NLN": 8.0, "status": "Known"}, "OPRO": {"NLN": 17696.0, "status": "Known"}, "OPAI": {"NLN": 418.0, "status": "Known"}, "11": {"NLN": 29178.0, "status": "Known"}, "14": {"NLN": 73291.0, "status": "Known"}, "25": {"NLN": 6525.0, "status": "Known"}, "12": {"NLN": 19483.0, "status": "Known"}, "13": {"NLN": 10484.0, "status": "Known"}}}, "M137LH": {"target_area": "10", "source_areas": {"Pro.St.": {"NLN": 94.0, "status": "Known"}, "7A": {"NLN": 4.0, "status": "NFP"}, "LIP": {"NLN": 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"FVE.LIP": 28.8, "FVE.7a": 6, "FVE.DP": 1}, "45A_M132": {"FVE.46": 1.3, "???": 98.7}, "V3_M132": {"FVE.TF": 11.6, "FVE.V3A": 4.9, "FVE.V4": 6, "???": 2.6, "FVE.PIP": 2.6, "FVE.VP": 7.2, "FVE.V3": 17.2, "FVE.V2": 47.9}, "1_M132": {"???": 100}, "32_M132": {"???": 100}, "V6_M132": {"???": 6.4, "FVE.PIP": 11.1, "FVE.PO": 61.2, "FVE.MIP": 6.6, "FVE.V2": 14.7}, "TPt_M132": {"FVE.STPp": 6, "???": 91.5, "FVE.MSTd": 1.6, "FVE.7a": 0.8}, "Pi_M132": {"???": 100}, "OPAI_M132": {"???": 100}, "TEO_M132": {"FVE.TF": 0.9, "FVE.PITd": 3.3, "FVE.V4": 38.9, "FVE.VP": 5.5, "FVE.VOT": 26, "FVE.PITv": 23.1, "???": 2.2}, "9_46d_M132": {"FVE.46": 47.2, "???": 30.6, "FVE.FEF": 22.2}, "TEpv_M132": {"FVE.TF": 43.1, "FVE.VOT": 0.1, "FVE.PITv": 16.1, "FVE.CITv": 13.3, "FVE.AITv": 18.7, "???": 8.7}, "11_M132": {"???": 100}, "PO_M132": {"FVE.PO": 100}, "Gu_M132": {"???": 100}, "PBc_M132": {"FVE.STPp": 60.3, "???": 39.7}, "MB_M132": {"???": 100}, "F5_M132": {"???": 99.8, "FVE.FEF": 0.2}, "F4_M132": {"???": 100}, "V4t_M132": {"FVE.V4": 99.3, "FVE.PITd": 0.7}, "Aud-core_M132": {"???": 100}, "25_M132": {"???": 100}, "PGa_M132": {"FVE.STPp": 17.4, "FVE.STPa": 23, "???": 17.4, "FVE.FST": 26.8, "FVE.MSTl": 15.5}, "7op_M132": {"???": 100}, "V6A_M132": {"FVE.MDP": 27.5, "???": 15.5, "FVE.PIP": 12.2, "FVE.PO": 24, "FVE.MIP": 20.8}, "F1_M132": {"???": 100}, "MIP_M132": {"FVE.MIP": 5.2, "???": 94.8}, "S2_M132": {"???": 100}, "V3A_M132": {"FVE.DP": 4.5, "FVE.V4": 15.4, "FVE.V3": 1.8, "???": 2, "FVE.PIP": 26, "FVE.V3A": 50.2, "FVE.7a": 0.1}, "PIP_M132": {"FVE.VIP": 3.1, "???": 7.7, "FVE.PIP": 38.3, "FVE.V3A": 11.4, "FVE.DP": 39.5}, "TEpd_M132": {"FVE.PITd": 0.5, "FVE.AITd": 0.1, "FVE.VOT": 1, "FVE.PITv": 26.3, "FVE.CITv": 59.3, "FVE.AITv": 12, "???": 0.7}, "13_M132": {"???": 99.6, "FVE.V2": 0.4}, "DP_M132": {"FVE.V4": 32.9, "???": 0.6, "FVE.7a": 5.4, "FVE.DP": 61.1}, "8l_M132": {"???": 11.8, "FVE.FEF": 88.2}, "24a_M132": {"???": 91.2, "MEDIAL.WALL": 8.8}, "8r_M132": {"FVE.46": 36.9, "???": 12.3, "FVE.FEF": 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"FVE.VIP": 1}, "TEpd_M132": {"FVE.AITd": 0.1, "FVE.CITv": 0.4, "FVE.AITv": 0.2, "FVE_all.VOT": 1, "FVE_all.AITv": 12, "FVE_all.AITd": 0.1, "FVE_all.PITd": 0.5, "FVE_all.PITv": 26.3, "FVE_all.CITv": 59.3}, "13_M132": {"FVE_all.UNK": 6, "UNK": 4.1, "FVE_all.14": 2.6, "FVE_all.10": 1.9, "FVE_all.11": 32.7, "FVE_all.13": 39.1, "FVE.Pro": 1.1, "FVE.14": 1.5, "FVE.13": 2.3, "FVE.10": 3.4, "FVE.11": 4.5, "FVE.12": 0.4, "FVE_all.V2": 0.4}, "DP_M132": {"FVE_all.7a": 5.4, "FVE_all.V4": 32.9, "FVE.DP": 0.6, "FVE_all.DP": 61.1}, "8l_M132": {"FVE.FEF": 1.1, "FVE_all.45": 5.4, "FVE_all.FEF": 88.2, "FVE_all.6": 5.4}, "24a_M132": {"FVE_all.32": 2.8, "FVE_all.25": 6.5, "MEDIAL.WALL": 8.8, "FVE_all.24": 75.3, "???": 2.3, "UNK": 0.9, "FVE_all.10": 0.5, "FVE.24": 2.8}, "8r_M132": {"FVE_all.46": 36.9, "FVE_all.45": 12.3, "FVE_all.FEF": 50.8}, "F6_M132": {"FVE_all.9": 100}, "V1_M132": {"FVE.29": 0, "FVE.V1": 0.7, "FVE.V2": 0.2, "FVE_all.V1": 93.5, "FVE_all.V2": 5.6}, "29_30_M132": {"FVE.29": 1.2, "FVE.23": 6.1, "MEDIAL.WALL": 72.1, "FVE_all.29": 5.8, "???": 8.3, "FVE.24": 0.9, "FVE_all.23": 2.5, "FVE_all.24": 3.1}, "TEav_M132": {"FVE_all.ER": 12.6, "FVE_all.36": 51.3, "FVE_all.35": 21.6, "FVE.36": 0.4, "FVE.35": 0.8, "FVE_all.AITv": 13.4}, "Prostriate_M132": {"FVE_all.PrS": 7.6, "FVE.PrS": 3.9, "FVE.29": 4.7, "FVE_all.PSd": 14.3, "FVE.V2": 4, "MEDIAL.WALL": 0.3, "FVE_all.29": 17, "FVE.V1": 5.7, "FVE.TH": 0.7, "FVE.PS": 2.9, "???": 0.8, "FVE_all.V1": 23.9, "FVE_all.V2": 14.3}, "FST_M132": {"FVE.MT": 1.7, "FVE_all.FST": 22, "FVE.PITd": 2.2, "FVE.CITd": 1.5, "FVE_all.MSTl": 12.4, "FVE_all.MT": 7.3, "FVE.FST": 3, "FVE_all.PITd": 43.3, "FVE_all.CITd": 3.4, "FVE.MSTl": 3.1}, "MST_M132": {"FVE.MT": 0.3, "FVE.MSTd": 1.4, "FVE.MSTl": 2.1, "FVE_all.7a": 34.5, "FVE_all.MSTd": 56, "FVE_all.MSTl": 5.8}, "23_M132": {"FVE_all.SMA": 2.9, "MEDIAL.WALL": 2.9, "FVE_all.30": 13.1, "FVE.PO": 0.2, "FVE_all.24": 51.8, "FVE_all.4": 0.2, "FVE_all.29": 13.8, "FVE.23": 1.9, "FVE.V2": 0.1, "FVE.SMA": 0.2, "FVE.30": 0.5, "FVE.24": 0.7, "FVE.29": 1.3, "FVE_all.PO": 0.1, "???": 2.6, "FVE_all.23": 7.5, "FVE_all.V2": 0.2}, "7m_M132": {"FVE_all.2": 2.7, "FVE.3b": 0.2, "FVE_all.30": 0.9, "FVE_all.1": 0.4, "FVE_all.PO": 0.2, "FVE_all.24": 7.3, "FVE_all.5": 7.5, "FVE.2": 0.5, "FVE_all.MDP": 11.3, "FVE.1": 0.3, "FVE.23": 1.2, "FVE.5": 0.4, "FVE_all.3b": 0.2, "FVE.30": 0.7, "FVE.PO": 0.5, "FVE_all.23": 65.5}, "Piriform_M132": {"UNK": 6.7, "FVE_all.UNK": 93.3}, "F2_M132": {"FVE.6": 0.7, "FVE_all.9": 3.6, "FVE_all.6": 59.6, "FVE.4": 0.5, "FVE_all.4": 35.5}, "AIP_M132": {"FVE_all.2": 0.7, "FVE.7b": 2.8, "FVE_all.7b": 93.6, "FVE_all.5": 2.8}, "STPr_M132": {"FVE_all.STPa": 44, "FVE_all.UNK": 15.5, "UNK": 0.3, "FVE_all.36": 23.3, "FVE_all.35": 16.8}, "LB_M132": {"FVE_all.36": 1.6, "FVE_all.UNK": 16.9, "FVE.AUD": 5.9, "FVE.STPp": 0.9, "UNK": 2.3, "FVE_all.Aud": 72.5}, "TEam-a_M132": {"FVE_all.AITd": 49, "FVE_all.PITd": 2.1, "FVE_all.CITd": 1.3, "FVE_all.STPa": 4.2, "UNK": 9, "FVE_all.PITv": 0.6, "FVE_all.CITv": 0.4, "FVE_all.36": 17.5, "FVE_all.35": 10.6, "FVE.STPa": 1.3, "FVE.AITd": 1.9, "FVE.36": 1.9}, "14_M132": {"FVE.32": 1.5, "FVE_all.32": 15.3, "FVE_all.25": 12, "FVE_all.14": 54.6, "FVE_all.13": 4.3, "FVE.14": 0.9, "FVE_all.10": 8.3, "FVE.10": 1.5, "FVE.13": 1.5}, "8m_M132": {"FVE_all.45": 0.5, "FVE_all.FEF": 67, "FVE_all.6": 32.5}, "Perirhinal_M132": {"FVE.PaS": 1.2, "FVE_all.ER": 66.1, "FVE_all.35": 1.9, "FVE_all.36": 20.9, "FVE.35": 0.7, "FVE_all.PaS": 7.1, "FVE.36": 0.5, "FVE.ER": 0.7, "FVE.TH": 0.5, "FVE_all.TH": 0.3}, "44_M132": {"FVE_all.FEF": 15.7, "FVE_all.6": 63.7, "FVE_all.UNK": 9.8, "FVE.FEF": 2.9, "FVE.6": 2, "UNK": 5.9}, "10_M132": {"FVE_all.32": 5.4, "FVE.32": 0.8, "FVE.10": 2.3, "FVE_all.10": 91.5}, "9_M132": {"FVE.46": 0.9, "FVE_all.9": 57.3, "FVE_all.10": 41.9}, "TEam-p_M132": {"FVE_all.AITd": 15.5, "FVE.CITd": 1.8, "FVE.CITv": 8.2, "FVE.AITd": 1.5, "FVE_all.PITd": 29.4, "FVE_all.CITd": 38.3, "FVE_all.PITv": 1.4, "FVE_all.CITv": 3.9}, "Entorhinal_M132": {"FVE.PaS": 0.5, "FVE_all.PrS": 30.1, "FVE_all.ER": 45.5, "FVE_all.S": 1, "FVE_all.PaS": 19.5, "FVE.PrS": 1, "FVE.ER": 1.2, "FVE_all.PAC": 0.2, "FVE.S": 1}, "???": {"FVE_all.STPp": 14.1, "FVE_all.TF": 9.9, "FVE_all.23": 7, "FVE_all.FEF": 1.4, "FVE_all.10": 1.4, "MEDIAL.WALL": 2.8, "FVE_all.PrS": 2.8, "FVE_all.FST": 1.4, "FVE_all.9": 1.4, "FVE_all.UNK": 18.3, "FVE.7a": 1.4, "FVE_all.7a": 1.4, "FVE_all.3b": 2.8, "FVE_all.STPa": 1.4, "FVE_all.3a": 4.2, "FVE_all.AITv": 8.5, "UNK": 8.5, "FVE_all.6": 1.4, "FVE_all.Aud": 1.4, "FVE_all.24": 8.5}, "Temporal-pole_M132": {"FVE_all.PIR": 7.8, "FVE_all.ER": 17.1, "FVE_all.36": 10, "FVE_all.35": 56.6, "FVE.PIR": 0.2, "FVE.ER": 2, "FVE.35": 3.9, "FVE_all.UNK": 2.4}, "VIP_M132": {"FVE.VIP": 2.5, "FVE_all.PIP": 2.1, "FVE_all.5": 44.9, "FVE_all.7b": 7.6, "FVE_all.VIP": 42.1, "FVE.7b": 0.8}, "V4_M132": {"FVE_all.TF": 10.6, "FVE.V4": 0.1, "FVE.PITd": 0.1, "FVE.TF": 0.2, "FVE_all.V4": 61.7, "FVE_all.VOT": 2.6, "FVE.VOT": 0.4, "FVE_all.PITd": 0.5, "FVE_all.VP": 18.6, "FVE_all.V2": 5.2}}}, "total_thickness_data": {"V1": 1240.0, "V2": 1460.0, "VP": NaN, "V3": NaN, "PIP": NaN, "V3A": 1660.0, "MT": 1960.0, "V4t": NaN, "V4": 1890.0, "PO": NaN, "VOT": NaN, "DP": 2060.0, "MIP": NaN, "MDP": NaN, "MSTd": NaN, "VIP": NaN, "LIP": 2300.0, "PITv": NaN, "PITd": NaN, "AITv": 2630.0, "MSTl": NaN, "FST": NaN, "CITv": NaN, "CITd": NaN, "7a": 2680.0, "STPp": NaN, "STPa": NaN, "FEF": 2210.0, "46": 1860.0, "TF": 1620.0, "TH": 1870.0, "AITd": 2630.0}}
\ No newline at end of file
diff --git a/multiarea_model/default_params.py b/multiarea_model/default_params.py
new file mode 100644
index 0000000000000000000000000000000000000000..ccca6428cba13fdc41cd3f6ebd1317c1c39da48a
--- /dev/null
+++ b/multiarea_model/default_params.py
@@ -0,0 +1,291 @@
+"""
+default_parameters.py
+=====================
+This script defines the default values of all
+parameters and defines functions to compute
+single neuron and synapse parameters and to
+properly set the seed of the random generators.
+
+Authors
+-------
+Maximilian Schmidt
+"""
+
+from config import base_path
+import json
+import os
+
+import numpy as np
+
+complete_area_list = ['V1', 'V2', 'VP', 'V3', 'V3A', 'MT', 'V4t', 'V4', 'VOT', 'MSTd',
+                      'PIP', 'PO', 'DP', 'MIP', 'MDP', 'VIP', 'LIP', 'PITv', 'PITd',
+                      'MSTl', 'CITv', 'CITd', 'FEF', 'TF', 'AITv', 'FST', '7a', 'STPp',
+                      'STPa', '46', 'AITd', 'TH']
+
+population_list = ['23E', '23I', '4E', '4I', '5E', '5I', '6E', '6I']
+
+f1 = open(os.path.join(base_path, 'multiarea_model/data_multiarea',
+                       'viscortex_raw_data.json'), 'r')
+raw_data = json.load(f1)
+f1.close()
+av_indegree_Cragg = raw_data['av_indegree_Cragg']
+av_indegree_OKusky = raw_data['av_indegree_OKusky']
+
+
+"""
+Simulation parameters
+"""
+sim_params = {
+    # master seed for random
+    'master_seed': 0,
+    # simulation step (in ms)
+    'dt': 0.1,
+    # simulated time (in ms)
+    't_sim': 10.0,
+    # no. of recording processes holding global spike detectors
+    'num_rec_processes': 0,
+    # no. of MPI processes:
+    'num_processes': 1,
+    # no. of threads per MPI process':
+    'local_num_threads': 1,
+    # Areas represented in the network
+    'areas_simulated': complete_area_list,
+}
+
+"""
+Network parameters
+"""
+network_params = {
+    # Surface area of each area in mm^2
+    'surface': 1.0,
+    # Scaling of population sizes
+    'N_scaling': 1.,
+    # Scaling of indegrees
+    'K_scaling': 1.,
+    # Full_scale rates for scaling synaptic weights
+    'fullscale_rates': None
+}
+
+
+"""
+Single-neuron parameters
+"""
+
+sim_params.update(
+    {
+        'initial_state': {
+            # mean of initial membrane potential (in mV)
+            'V_m_mean': -58.0,
+            # std of initial membrane potential (in mV)
+            'V_m_std': 10.0
+        }
+    })
+
+# dictionary defining single-cell parameters
+single_neuron_dict = {
+    # Leak potential of the neurons (in mV).
+    'E_L': -65.0,
+    # Threshold potential of the neurons (in mV).
+    'V_th': -50.0,
+    # Membrane potential after a spike (in mV).
+    'V_reset': -65.0,
+    # Membrane capacitance (in pF).
+    'C_m': 250.0,
+    # Membrane time constant (in ms).
+    'tau_m': 10.0,
+    # Time constant of postsynaptic excitatory currents (in ms).
+    'tau_syn_ex': 0.5,
+    # Time constant of postsynaptic inhibitory currents (in ms).
+    'tau_syn_in': 0.5,
+    # Refractory period of the neurons after a spike (in ms).
+    't_ref': 2.0}
+
+neuron_params = {
+    # neuron model
+    'neuron_model': 'iaf_psc_exp',
+    # neuron parameters
+    'single_neuron_dict': single_neuron_dict,
+    # Mean and standard deviation for the
+    # distribution of initial membrane potentials
+    'V0_mean': -100.,
+    'V0_sd': 50.}
+
+network_params.update({'neuron_params': neuron_params})
+
+
+"""
+General connection parameters
+"""
+connection_params = {
+    # Whether to apply the stabilization method of
+    # Schuecker, Schmidt et al. (2017). Default is False.
+    # Options are True to perform the stabilization or
+    # a numpy.ndarray specifying the stabilized matrix or
+    # a tuple of strings where the first component specifies a binary
+    # numpy file containing the connectivity matrix
+    'K_stable': False,
+
+    # Whether to replace all cortico-cortical connections by stationary
+    # Poisson input with population-specific rates (het_poisson_stat)
+    # or by time-varying current input (het_current_nonstat)
+    # while still simulating all areas. In both cases, the data to replace
+    # the cortico-cortical input is loaded from `replace_cc_input_file`.
+    'replace_cc': False,
+
+    # Whether to replace non-simulated areas by poisson sources
+    # with the same global rate rate_ext ('hom_poisson_stat') or
+    # by specific rates ('het_poisson_stat')
+    # or by time-varying specific current ('het_current_nonstat')
+    # In the two latter cases, the data to replace the cortico-cortical
+    # input is loaded from `replace_cc_input_file`
+    'replace_non_simulated_areas': None,
+
+    # File holding the input rates to replace cortico-cortical input
+    'replace_cc_input_file': None,
+
+    # whether to redistribute CC synapse to meet literature value
+    # of E-specificity
+    'E_specificity': True,
+
+    # Relative inhibitory synaptic strength (in relative units).
+    'g': -16.,
+
+    # compute average indegree in V1 from data
+    'av_indegree_V1': np.mean([av_indegree_Cragg, av_indegree_OKusky]),
+
+    # synaptic volume density
+    # area-specific --> conserves average in-degree
+    # constant --> conserve syn. volume density
+    'rho_syn': 'constant',
+
+    # Increase the external poisson indegree onto 5E and 6E
+    'fac_nu_ext_5E': 1.,
+    'fac_nu_ext_6E': 1.,
+    # to increase the ext. input to 23E and 5E in area TH
+    'fac_nu_ext_TH': 1.,
+
+    # synapse weight parameters for current-based neurons
+    # excitatory intracortical synaptic weight (mV)
+    'PSP_e': 0.15,
+    'PSP_e_23_4': 0.3,
+    # synaptic weight (mV) for external input
+    'PSP_ext': 0.15,
+
+    # relative SD of normally distributed synaptic weights
+    'PSC_rel_sd_normal': 0.1,
+    # relative SD of lognormally distributed synaptic weights
+    'PSC_rel_sd_lognormal': 3.0,
+
+    # scaling factor for cortico-cortical connections (chi)
+    'cc_weights_factor': 1.,
+    # factor to scale cortico-cortical inh. weights in relation to exc. weights (chi_I)
+    'cc_weights_I_factor': 1.,
+
+    # 'switch whether to distribute weights lognormally
+    'lognormal_weights': False,
+    # 'switch whether to distribute only EE weight lognormally if
+    # 'lognormal_weights': True
+    'lognormal_EE_only': False,
+}
+
+network_params.update({'connection_params': connection_params})
+
+"""
+Delays
+"""
+delay_params = {
+    # Local dendritic delay for excitatory transmission [ms]
+    'delay_e': 1.5,
+    # Local dendritic delay for inhibitory transmission [ms]
+    'delay_i': 0.75,
+    # Relative standard deviation for both local and inter-area delays
+    'delay_rel': 0.5,
+    # Axonal transmission speed to compute interareal delays [mm/ms]
+    'interarea_speed': 3.5
+}
+network_params.update({'delay_params': delay_params})
+
+"""
+Input parameters
+"""
+input_params = {
+    # Whether to use Poisson or DC input (True or False)
+    'poisson_input': True,
+
+    # synapse type for Poisson input
+    'syn_type_ext': 'static_synapse_hpc',
+
+    # Rate of the Poissonian spike generator (in Hz).
+    'rate_ext': 10.,
+
+    # Whether to switch on time-dependent DC input
+    'dc_stimulus': False,
+}
+
+sim_params.update({'input_params': input_params})
+network_params.update({'input_params': input_params})
+
+"""
+Recording settings
+"""
+recording_dict = {
+    # Which areas to record spike data from
+    'areas_recorded': complete_area_list,
+
+    # voltmeter
+    'record_vm':  False,
+    # Fraction of neurons to record membrane potentials from
+    # in each population if record_vm is True
+    'Nrec_vm_fraction': 0.01,
+
+    # Parameters for the spike detectors
+    'spike_dict': {
+        'label': 'spikes',
+        'withtime': True,
+        'record_to': ['file'],
+        'start': 0.},
+    # Parameters for the voltmeters
+    'vm_dict': {
+        'label': 'vm',
+        'start': 0.,
+        'stop': 1000.,
+        'interval': 0.1,
+        'withtime': True,
+        'record_to': ['file']}
+    }
+sim_params.update({'recording_dict': recording_dict})
+
+"""
+Theory params
+"""
+
+theory_params = {'neuron_params': neuron_params,
+                 'input_params': input_params,
+                 'initial_rates': None,
+                 'T': 50.,
+                 'dt': 0.1}
+
+
+"""
+Helper function to update default parameters with custom
+parameters
+"""
+
+
+def nested_update(d, d2):
+    for key in d2:
+        if isinstance(d2[key], dict) and key in d:
+            nested_update(d[key], d2[key])
+        else:
+            d[key] = d2[key]
+
+
+def check_custom_params(d, def_d):
+    for key, val in d.items():
+        if isinstance(val, dict):
+            check_custom_params(d[key], def_d[key])
+        else:
+            try:
+                def_val = def_d[key]
+            except KeyError:
+                raise KeyError('Unused key in custom parameter dictionary: {}'.format(key))
diff --git a/multiarea_model/multiarea_helpers.py b/multiarea_model/multiarea_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2ef9ae2def7354f36c3cf51808779b312f2ac9d
--- /dev/null
+++ b/multiarea_model/multiarea_helpers.py
@@ -0,0 +1,549 @@
+"""
+multiarea_helpers
+==============
+
+Helper function for the multiarea model.
+
+Functions
+---------
+
+load_degree_data : Load indegrees and outdegrees from data file
+area_level_dict : Create area-level dict from a population-level connectivity dict
+dict_to_matrix : Transform dictionary of connectivity to matrix
+matrix_to_dict : Transform connectivity matrix to dictionary
+vector_to_dict : Transform vector of population sizes to dictionary
+dict_to_vector : Transform dictionary of population sizes to vector
+create_vector_mask : Create a mask for a vector of population sizes
+                     to filter for specific populations.
+create_mask : Create a mask for a connectivity matrix to filter for
+              specific pairs of populations
+indegree_to_synapse_numbers : Transform a dictionary of indegrees to a
+                              a dictionary of synapse numbers
+
+hierarchical_relation : Return the hierarchical relation of two areas
+structural_gradient : Return the structural gradient of two areas
+extract_area_dict :     Extract the dictionary containing only information
+                        specific to a given pair of areas from a nested dictionary
+                        describing the entire network.
+convert_syn_weight : Convert a PSC amplitude into an integral of the PSP
+"""
+
+import json
+import numpy as np
+import os
+from itertools import product
+import collections
+
+from config import base_path
+from .default_params import complete_area_list, population_list
+from nested_dict import nested_dict
+
+
+def load_degree_data(fn):
+    """
+    Load connectivity information from json file and
+    store indegrees in dictionary.
+
+    Parameters
+    ----------
+    fn : string
+        File name of json file. The file has to contain a dictionary
+        with a subdictionary called 'synapses' containing the
+        synapses between any pair of populations at the top level.
+
+    Returns
+    -------
+    indegrees : dict
+        Indegrees on population level. Dictionary levels are sorted as
+        target area --> target population --> source area --> source population.
+    indegrees_areas : dict
+        Indegrees on area level. Dictionary levels are sorted as
+        target area --> source area
+    outdegrees : dict
+        Outdegrees on population level. Dictionary levels are sorted as
+        target area --> target population --> source area --> source population.
+    outdegrees : dict
+        Outdegrees on area level. Dictionary levels are sorted as
+        target area --> source area
+    """
+
+    f = open(fn)
+    dat = json.load(f)
+    f.close()
+    syn = dat['synapses']
+    num = dat['neuron_numbers']
+    # indegrees = copy.deepcopy(syn)  # copy syn dictionary to get its structure
+    # outdegrees = copy.deepcopy(syn)  # copy syn dictionary to get its structure
+    indegrees = nested_dict()
+    outdegrees = nested_dict()
+    for target_area, target_pop, source_area, source_pop in product(complete_area_list,
+                                                                    population_list,
+                                                                    complete_area_list,
+                                                                    population_list):
+        numT = num[target_area][target_pop]
+        if numT > 0.0:
+            indegrees[target_area][target_pop][source_area][source_pop] = syn[
+                target_area][target_pop][source_area][source_pop] / numT
+        else:
+            # assign 0 to indegrees onto non-existing populations
+            indegrees[target_area][target_pop][source_area][source_pop] = 0.0
+
+        if source_area != 'external':
+            numS = num[source_area][source_pop]
+            if numS > 0.0:
+                outdegrees[target_area][target_pop][source_area][source_pop] = syn[
+                    target_area][target_pop][source_area][source_pop] / numS
+            else:
+                # assign 0 to outdegrees from non-existing populations
+                outdegrees[target_area][target_pop][source_area][source_pop] = 0.0
+
+    for target_area, target_pop, ext_pop in product(complete_area_list,
+                                                    population_list, ['external']):
+        numT = num[target_area][target_pop]
+        if numT > 0.0:
+            indegrees[target_area][target_pop]['external'][ext_pop] = syn[
+                target_area][target_pop]['external'][ext_pop] / numT
+        else:
+            indegrees[target_area][target_pop]['external'][ext_pop] = 0.0
+
+    indegrees_areas = area_level_dict(indegrees, num, degree='indegree')
+    outdegrees_areas = area_level_dict(outdegrees, num, degree='outdegree')
+    return (indegrees.to_dict(), indegrees_areas,
+            outdegrees.to_dict(), outdegrees_areas)
+
+
+def area_level_dict(dic, num, degree='indegree'):
+    """
+    Convert a connectivity dictionary from population-specific
+    connectivity to area-level connectivity.
+
+    Parameters
+    ----------
+    dic : dict
+        Dictionary to transform
+    num : dict
+        Dictionary containing population sizes
+    degree : string, {'indegree', 'outdegree'}
+        Whether dic contains in- or outdegrees.
+        Defaults to 'indegree'.
+    """
+    area_level_dic = nested_dict()
+    for target_area, source_area in product(complete_area_list, complete_area_list):
+        conns = 0.0
+        for target_pop, source_pop in product(population_list, repeat=2):
+            if degree == 'indegree':
+                conns += dic[target_area][target_pop][source_area][
+                    source_pop] * num[target_area][target_pop]
+            elif degree == 'outdegree':
+                conns += dic[target_area][target_pop][source_area][
+                    source_pop] * num[source_area][source_pop]
+        if degree == 'indegree':
+            area_level_dic[target_area][source_area] = conns / num[target_area]['total']
+        elif degree == 'outdegree':
+            area_level_dic[target_area][source_area] = conns / num[source_area]['total']
+
+    if (degree == 'indegree' and
+            'external' in dic[complete_area_list[0]][population_list[0]]):
+        for target_area in complete_area_list:
+            conns = 0.
+            for target_pop, ext_pop in product(population_list, ['external']):
+                conns += dic[target_area][target_pop][
+                    'external'][ext_pop] * num[target_area][target_pop]
+            area_level_dic[target_area]['external'] = conns / num[target_area]['total']
+
+    return area_level_dic.to_dict()
+
+
+def dict_to_matrix(d, area_list, structure):
+    """
+    Convert a dictionary containing connectivity
+    information of a network defined by structure to a matrix.
+
+    Parameters
+    ----------
+    d : dict
+        Dictionary to be converted.
+    area_list: list
+        List of areas in the network. Defines the order of areas
+        in the given matrix.
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    """
+    dim = 0
+    for area in structure.keys():
+        dim += len(structure[area])
+
+    M = np.zeros((dim, dim + 1))
+    i = 0
+    for target_area in area_list:
+        for target_pop in structure[target_area]:
+            j = 0
+            for source_area in area_list:
+                for source_pop in structure[source_area]:
+                    M[i][j] = d[target_area][target_pop][source_area][source_pop]
+                    j += 1
+            M[i][j] = d[target_area][target_pop]['external']['external']
+            i += 1
+    return M
+
+
+def matrix_to_dict(m, area_list, structure, external=None):
+    """
+    Convert a matrix containing connectivity
+    information of a network defined by structure to a dictionary.
+
+    Parameters
+    ----------
+    m : array-like
+        Matrix to be converted.
+    area_list: list
+        List of areas in the network. Defines the order of areas
+        in the matrix to be created.
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    external: numpy.ndarray or dict
+        If None, do not include connectivity from external
+        sources in the return dictionary.
+        If numpy.ndarray or dict, use the connectivity given to add an entry
+        'external' for each population.
+        Defaults to None.
+    """
+    dic = nested_dict()
+    for area, area2 in product(area_list, area_list):
+        mask = create_mask(
+            structure, target_areas=[area], source_areas=[area2], external=False)
+        if external is not None:
+            x = m[mask[:, :-1]]
+        else:
+            x = m[mask]
+
+        if area == 'TH' and area2 == 'TH':
+            x = x.reshape((6, 6))
+            x = np.insert(x, 2, np.zeros((2, 6), dtype=float), axis=0)
+            x = np.insert(x, 2, np.zeros((2, 8), dtype=float), axis=1)
+        elif area2 == 'TH':
+            x = x.reshape((8, 6))
+            x = np.insert(x, 2, np.zeros((2, 8), dtype=float), axis=1)
+        elif area == 'TH':
+            x = x.reshape((6, 8))
+            x = np.insert(x, 2, np.zeros((2, 8), dtype=float), axis=0)
+        else:
+            x = x.reshape((8, 8))
+        for ii, pop in enumerate(population_list):
+            for jj, pop2 in enumerate(population_list):
+                if x[ii][jj] < 1e-20:
+                    x[ii][jj] = 0.
+                dic[area][pop][area2][pop2] = x[ii][jj]
+    if external is not None:
+        if isinstance(external, np.ndarray):
+            for area in dic:
+                for pop in population_list:
+                    if pop in structure[area]:
+                        mask = create_vector_mask(
+                            structure, areas=[area], pops=[pop])
+                        dic[area][pop]['external'] = {
+                            'external': external[mask][0]}
+                    else:
+                        dic[area][pop]['external'] = {
+                            'external': 0.}
+
+        if isinstance(external, dict):
+            for area in dic:
+                for pop in dic[area]:
+                    dic[area][pop]['external'] = external[
+                        area][pop]
+
+    return dic.to_dict()
+
+
+def vector_to_dict(v, area_list, structure, external=None):
+    """
+    Convert a vector containing neuron numbers
+    of a network defined by structure to a dictionary.
+
+    Parameters
+    ----------
+    v : array-like
+        Vector to be converted.
+    area_list: list
+        List of areas in the network. Defines the order of areas
+        in the vector to be created.
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    """
+    dic = nested_dict()
+    for area in area_list:
+        vmask = create_vector_mask(structure, areas=[area])
+        for ii, pop in enumerate(structure[area]):
+            dic[area][pop] = v[vmask][ii]
+        for pop in population_list:
+            if pop not in structure[area]:
+                dic[area][pop] = 0.
+
+        dic[area]['total'] = sum(v[vmask])
+    return dic.to_dict()
+
+
+def dict_to_vector(d, area_list, structure):
+    """
+    Convert a dictionary containing population sizes
+    of a network defined by structure to a vector.
+
+    Parameters
+    ----------
+    d : dict
+        Dictionary to be converted.
+    area_list: list
+        List of areas in the network. Defines the order of areas
+        in the given vector.
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    """
+    dim = 0
+    for area in structure.keys():
+        dim += len(structure[area])
+
+    V = np.zeros(dim)
+    i = 0
+    for target_area in area_list:
+        if target_area in structure:
+            for target_pop in structure[target_area]:
+                if isinstance(d[target_area][target_pop], collections.Iterable):
+                    V[i] = d[target_area][target_pop][0]
+                else:
+                    V[i] = d[target_area][target_pop]
+                i += 1
+    return V
+
+
+def create_vector_mask(structure, pops=population_list,
+                       areas=complete_area_list, complete_area_list=complete_area_list):
+    """
+    Create a mask for vectors to filter
+    for specific populations.
+
+    Parameters
+    ----------
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    pops : list, optinal
+        List of populations for each area in the mask to be created.
+        Default to population_list defined in default_params.
+    areas : list, optinal
+        List of areas in the mask to be created.
+        Defaults to the complete_area_list defined in default_params.
+    complete_area_list : list, optional
+        List of areas in the network. Defines the order of areas
+        in the given matrix. Defaults to the complete_area_list defined in default_params.
+    """
+    mask = np.array([], dtype=bool)
+    for area in complete_area_list:
+        if area in areas:
+            mask = np.append(mask, np.in1d(np.array(structure[area]), pops))
+        else:
+            mask = np.append(mask, np.zeros_like(structure[area], dtype=bool))
+    return mask
+
+
+def create_mask(structure, target_pops=population_list,
+                source_pops=population_list,
+                target_areas=complete_area_list,
+                source_areas=complete_area_list,
+                complete_area_list=complete_area_list,
+                external=True,
+                **keywords):
+    """
+    Create a mask for the connection matrices to filter
+    for specific pairs of populations.
+
+    Parameters
+    ----------
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    target_pops : list, optinal
+        List of target populations for each target area in the mask to be created.
+        Default to population_list defined in default_params.
+    source_pops : list, optinal
+        List of source populations for each source area in the mask to be created.
+        Default to population_list defined in default_params.
+    target_areas : list, optinal
+        List of target areas in the mask to be created.
+        Defaults to the complete_area_list defined in default_params.
+    source_areas : list, optinal
+        List of source areas in the mask to be created.
+        Defaults to the complete_area_list defined in default_params.
+    complete_area_list : list, optional
+        List of areas in the network. Defines the order of areas
+        in the given matrix. Defaults to the complete_area_list defined in default_params.
+    external : bool, optional
+        Whether to include input from external source in the mask.
+        Defaults to True.
+    cortico_cortical : bool, optional
+        Whether to filter for cortico_cortical connections only.
+        Defaults to False.
+    internal : bool, optional
+        Whether to filter for internal connections only.
+        Defaults to False.
+    """
+    target_mask = create_vector_mask(structure, pops=target_pops,
+                                     areas=target_areas, complete_area_list=complete_area_list)
+    source_mask = create_vector_mask(structure, pops=source_pops,
+                                     areas=source_areas, complete_area_list=complete_area_list)
+    if external:
+        source_mask = np.append(source_mask, np.array([True]))
+    else:
+        source_mask = np.append(source_mask, np.array([False]))
+    mask = np.outer(target_mask, source_mask)
+
+    if 'cortico_cortical' in keywords and keywords['cortico_cortical']:
+        negative_mask = np.zeros_like(mask, dtype=np.bool)
+        for source in source_areas:
+            smask = create_mask(structure,
+                                target_pops=population_list,
+                                target_areas=[source], source_areas=[source],
+                                source_pops=population_list,
+                                external=True)
+            negative_mask = np.logical_or(negative_mask, smask)
+        mask = np.logical_and(np.logical_not(
+            np.logical_and(mask, negative_mask)), mask)
+    if 'internal' in keywords and keywords['internal']:
+        negative_mask = np.zeros_like(mask, dtype=np.bool)
+        for source in source_areas:
+            smask = create_mask(structure,
+                                target_pops=population_list,
+                                target_areas=[source], source_areas=[source],
+                                source_pops=population_list)
+            negative_mask = np.logical_or(negative_mask, smask)
+        mask = np.logical_and(mask, negative_mask)
+    return mask
+
+
+def indegree_to_synapse_numbers(indegrees, neuron_numbers):
+    """
+    Transform a dictionary of indegrees to synapse numbers using
+    the given neuron numbers for each population.
+
+    Parameters
+    ----------
+    indegrees : dict
+        Dictionary of indegrees to be transformed.
+    neuron_numbers : dict
+        Dictionary of population sizes
+    """
+    synapses = nested_dict()
+    for target in indegrees:
+        for tpop in indegrees[target]:
+            for source in indegrees[target][tpop]:
+                for spop in indegrees[target][tpop][source]:
+                    synapses[target][tpop][source][spop] = indegrees[
+                        target][tpop][source][spop] * neuron_numbers[target][tpop]
+    return synapses.to_dict()
+
+
+def hierarchical_relation(target_area, source_area):
+    """
+    Return the hierarchical relation between
+    two areas based on their SLN value (data + estimated).
+    Loads the completed SLN data from the json data file.
+
+    Parameters
+    ----------
+    target_area : str
+        Target area of the projection
+    source_area : str
+        Source area of the projection
+    """
+    with open(os.path.join(base_path,
+                           'data_multi_area/viscortex_processed_data.json'),
+              'r') as f:
+        dat = json.load(f)
+
+    SLN_completed = dat['SLN_completed']
+
+    if target_area != source_area:
+        if source_area in SLN_completed[target_area]:
+            if SLN_completed[target_area][source_area] > 0.65:
+                return 'FF'
+            elif SLN_completed[target_area][source_area] < 0.35:
+                return 'FB'
+            else:
+                return 'lateral'
+        else:
+            return None
+    else:
+        return 'same-area'
+
+
+def structural_gradient(target_area, source_area):
+    """
+    Return the structural gradient between two areas.
+    Loads the architectural types from the json data file.
+
+    Parameters
+    ----------
+    target_area : str
+        Target area of the projection
+    source_area : str
+        Source area of the projection
+    """
+    with open(os.path.join(base_path,
+                           'data_multi_area/viscortex_processed_data.json'),
+              'r') as f:
+        dat = json.load(f)
+
+    structure_completed = dat['structure_completed']
+
+    if target_area != source_area:
+        if structure_completed[target_area] < structure_completed[source_area]:
+            return 'EL'
+        elif structure_completed[target_area] > structure_completed[source_area]:
+            return 'LE'
+        else:
+            return 'HZ'
+    else:
+        return 'same-area'
+
+
+def extract_area_dict(d, structure, target_area, source_area):
+    """
+    Extract the dictionary containing only information
+    specific to a given pair of areas from a nested dictionary
+    describing the entire network.
+
+    Parameters
+    ----------
+    d : dict
+        Dictionary to be converted.
+    structure : dict
+        Structure of the network. Define the populations for each single area.
+    target_area : str
+        Target area of the projection
+    source_area : str
+        Source area of the projection
+    """
+    area_dict = {}
+    for pop in structure[target_area]:
+        area_dict[pop] = {}
+        for pop2 in structure[source_area]:
+            area_dict[pop][pop2] = d[target_area][pop][source_area][pop2]
+    return area_dict
+
+
+def convert_syn_weight(W, neuron_params):
+    """
+    # TODO: this documentation is wrong. this is not the integral.
+    Compute the integral of the PSP of exponential
+    post-synaptic currents evoked by a PSC with amplitude W.
+
+    Parameters
+    ----------
+    W : float
+        Synaptic weight defined as the amplitude of the post-synaptic current.
+    neuron_params : dict
+        Parameters of the neuron.
+    """
+    tau_syn_ex = neuron_params['tau_syn_ex']
+    C_m = neuron_params['C_m']
+    PSP_transform = tau_syn_ex / C_m
+
+    return PSP_transform * W
diff --git a/multiarea_model/multiarea_model.py b/multiarea_model/multiarea_model.py
new file mode 100644
index 0000000000000000000000000000000000000000..25f78d2cef0485fe255e064094f71606055d0656
--- /dev/null
+++ b/multiarea_model/multiarea_model.py
@@ -0,0 +1,304 @@
+"""
+multiarea_model
+==============
+
+Network class to instantiate and administer instances of the
+multi-area model of macaque visual cortex by Schmidt el. (2016).
+
+Classes
+-------
+MultiAreaModel : Loads a parameter file that specifies custom parameters for a
+particular instance of the model. An instance of the model has a unique hash
+label. As members, it may contain three classes:
+
+- simulation : contains all relevant parameters for a simulation of
+  the network
+
+- theory : theory class that serves to estimate the stationary state
+  of the network using mean-field theory
+
+  Schuecker J, Schmidt M, van Albada SJ, Diesmann M, HeliasM(2017)
+  Fundamental Activity Constraints Lead to Specific Interpretations of
+  the Connectome. PLoS Comput Biol 13(2): e1005179.
+  doi:10.1371/journal.pcbi.1005179
+
+- analysis: provides methods to load data and perform data analysis
+
+"""
+import json
+import numpy as np
+import os
+import pprint
+import shutil
+from .default_params import complete_area_list, nested_update, network_params
+from .default_params import check_custom_params
+from collections import OrderedDict
+from copy import deepcopy
+from .data_multiarea.Model import compute_Model_params
+from .analysis import Analysis
+from config import base_path
+from dicthash import dicthash
+from .multiarea_helpers import (
+    area_level_dict,
+    load_degree_data,
+    convert_syn_weight,
+    dict_to_matrix,
+    dict_to_vector,
+    indegree_to_synapse_numbers,
+    matrix_to_dict,
+    vector_to_dict,
+)
+from .simulation import Simulation
+from .theory import Theory
+
+# Set precision of dicthash library to 1e-4
+# because this is sufficient for indegrees
+# and neuron numbers and guarantees reproducibility
+# of the class label despite inevitably imprecise float calculations
+# in the data scripts.
+dicthash.FLOAT_FACTOR = 1e4
+dicthash.FLOOR_SMALL_FLOATS = True
+
+
+class MultiAreaModel:
+    def __init__(self, network_spec, theory=False, simulation=False,
+                 analysis=False, *args, **keywords):
+        """
+        Multiarea model class.
+        An instance of the multiarea model with the given parameters.
+
+        Parameters
+        ----------
+        network_spec : dict or str
+            Specify the network. If it is of type dict, the parameters defined
+            in the dictionary overwrite the default parameters defined in
+            default_params.py.
+            If it is of type str, the string defines the label of a previously
+            initialized model instance that is now loaded.
+        theory : bool
+            whether to create an instance of the theory class as member.
+        simulation : bool
+            whether to create an instance of the simulation class as member.
+        analysis : bool
+            whether to create an instance of the analysis class as member.
+
+        """
+        self.params = deepcopy(network_params)
+        if isinstance(network_spec, dict):
+            print("Initializing network from dictionary.")
+            check_custom_params(network_spec, self.params)
+            self.custom_params = network_spec
+            p_ = 'multiarea_model/data_multiarea/custom_data_files'
+            # Draw random integer label for data script to avoid clashes with
+            # parallely created class instances
+            rand_data_label = np.random.randint(10000)
+            print("RAND_DATA_LABEL", rand_data_label)
+            tmp_parameter_fn = os.path.join(base_path,
+                                            p_,
+                                            'custom_{}_parameter_dict.json'.format(rand_data_label))
+            tmp_data_fn = os.path.join(base_path,
+                                       p_,
+                                       'custom_Data_Model_{}.json'.format(rand_data_label))
+
+            with open(tmp_parameter_fn, 'w') as f:
+                json.dump(self.custom_params, f)
+            # Execute Data script
+            compute_Model_params(out_label=str(rand_data_label),
+                                 mode='custom')
+        else:
+            print("Initializing network from label.")
+            parameter_fn = os.path.join(base_path,
+                                        'config_files',
+                                        '{}_config'.format(network_spec))
+            tmp_data_fn = os.path.join(base_path,
+                                       'config_files',
+                                       'custom_Data_Model_{}.json'.format(network_spec))
+            with open(parameter_fn, 'r') as f:
+                self.custom_params = json.load(f)
+        nested_update(self.params, self.custom_params)
+        with open(tmp_data_fn, 'r') as f:
+            dat = json.load(f)
+
+        self.structure = OrderedDict()
+        for area in dat['area_list']:
+            self.structure[area] = dat['structure'][area]
+        self.N = dat['neuron_numbers']
+        self.synapses = dat['synapses']
+        self.W = dat['synapse_weights_mean']
+        self.W_sd = dat['synapse_weights_sd']
+        self.area_list = complete_area_list
+        self.distances = dat['distances']
+
+        ind, inda, out, outa = load_degree_data(tmp_data_fn)
+        # If K_stable is specified in the params, load the stabilized matrix
+        # TODO: Extend this by calling the stabilization method
+        if not self.params['connection_params']['K_stable']:
+            self.K = ind
+        else:
+            if self.params['connection_params']['K_stable'] is True:
+                print('Stabilization procedure has to be integrated.')
+            elif isinstance(self.params['connection_params']['K_stable'], np.ndarray):
+                raise ValueError("Not supported. Please store the "
+                                 "matrix in a file and define the path to the file as "
+                                 "the parameter value.")
+            else:  # Assume that the parameter defines a filename containing the matrix
+                K_stable = np.load(self.params['connection_params']['K_stable'])
+            ext = {area: {pop: ind[area][pop]['external'] for pop in
+                          self.structure['V1']} for area in self.area_list}
+            self.K = matrix_to_dict(
+                K_stable, self.area_list, self.structure, external=ext)
+            self.synapses = indegree_to_synapse_numbers(self.K, self.N)
+
+        self.vectorize()
+        if self.params['K_scaling'] != 1. or self.params['N_scaling'] != 1.:
+            if self.params['fullscale_rates'] is None:
+                raise KeyError('For downscaling, you have to define a file'
+                               ' with fullscale rates.')
+            self.scale_network()
+
+        self.K_areas = area_level_dict(self.K, self.N)
+        self.label = dicthash.generate_hash_from_dict({'params': self.params,
+                                                       'K': self.K,
+                                                       'N': self.N,
+                                                       'structure': self.structure})
+
+        if isinstance(network_spec, dict):
+            parameter_fn = os.path.join(base_path,
+                                        'config_files',
+                                        '{}_config'.format(self.label))
+            data_fn = os.path.join(base_path,
+                                   'config_files',
+                                   'custom_Data_Model_{}.json'.format(self.label))
+
+            shutil.move(tmp_parameter_fn,
+                        parameter_fn)
+            shutil.move(tmp_data_fn,
+                        data_fn)
+
+        elif isinstance(network_spec, str):
+            assert(network_spec == self.label)
+
+        # Initialize member classes
+        if theory:
+            if 'theory_spec' not in keywords:
+                theory_spec = {}
+            else:
+                theory_spec = keywords['theory_spec']
+            self.init_theory(theory_spec)
+
+        if simulation:
+            if 'sim_spec' not in keywords:
+                sim_spec = {}
+            else:
+                sim_spec = keywords['sim_spec']
+            self.init_simulation(sim_spec)
+
+        if analysis:
+            assert(getattr(self, 'simulation'))
+            if 'ana_spec' not in keywords:
+                ana_spec = {}
+            else:
+                ana_spec = keywords['ana_spec']
+            self.init_analysis(ana_spec)
+
+    def __str__(self):
+        s = "Multi-area network {} with custom parameters: \n".format(self.label)
+        s += pprint.pformat(self.params, width=1)
+        return s
+
+    def __eq__(self, other):
+        return self.label == other.label
+
+    def __hash__(self):
+        return hash(self.label)
+
+    def init_theory(self, theory_spec):
+        self.theory = Theory(self, theory_spec)
+
+    def init_simulation(self, sim_spec):
+        self.simulation = Simulation(self, sim_spec)
+
+    def init_analysis(self, ana_spec):
+        assert(hasattr(self, 'simulation'))
+        if 'load_areas' in ana_spec:
+            load_areas = ana_spec['load_areas']
+        else:
+            load_areas = None
+        self.analysis = Analysis(self, self.simulation,
+                                 data_list=ana_spec['data_list'],
+                                 load_areas=load_areas)
+
+    def scale_network(self):
+        """
+        Scale the network if `N_scaling` and/or `K_scaling` differ from 1.
+
+        This function:
+        - adjusts the synaptic weights such that the population-averaged
+          stationary spike rates approximately match the given `fullscale_rates`.
+        - scales the population sizes with `N_scaling` and indegrees with `K_scaling`.
+        - scales the synapse numbers with `N_scaling`*`K_scaling`.
+        """
+        # population sizes
+        self.N_vec *= self.params['N_scaling']
+
+        # Scale the synaptic weights before the indegrees to use fullscale indegrees
+        self.adj_W_to_K()
+        # Then scale the indegrees and synapse numbers
+        self.K_matrix *= self.params['K_scaling']
+        self.syn_matrix *= self.params['K_scaling'] * self.params['N_scaling']
+
+        # Finally recreate dictionaries
+        self.N = vector_to_dict(self.N_vec, self.area_list, self.structure)
+        self.K = matrix_to_dict(self.K_matrix[:, :-1], self.area_list,
+                                self.structure, external=self.K_matrix[:, -1])
+        self.W = matrix_to_dict(self.W_matrix[:, :-1], self.area_list,
+                                self.structure, external=self.W_matrix[:, -1])
+
+        self.synapses = matrix_to_dict(self.syn_matrix, self.area_list, self.structure)
+
+    def vectorize(self):
+        """
+        Create matrix and vector version of neuron numbers, synapses
+        and synapse weight dictionaries.
+        """
+
+        self.N_vec = dict_to_vector(self.N, self.area_list, self.structure)
+        self.syn_matrix = dict_to_matrix(self.synapses, self.area_list, self.structure)
+        self.K_matrix = dict_to_matrix(self.K, self.area_list, self.structure)
+        self.W_matrix = dict_to_matrix(self.W, self.area_list, self.structure)
+        self.J_matrix = convert_syn_weight(self.W_matrix,
+                                           self.params['neuron_params']['single_neuron_dict'])
+        self.structure_vec = ['-'.join((area, pop)) for area in
+                              self.area_list for pop in self.structure[area]]
+        self.add_DC_drive = np.zeros_like(self.N_vec)
+
+    def adj_W_to_K(self):
+        """
+        Adjust weights to scaling of neuron numbers and indegrees.
+
+        The recurrent and external weights are adjusted to the scaling
+        of the indegrees. Extra DC input is added to compensate the scaling
+        and preserve the mean and variance of the input.
+        """
+        tau_m = self.params['neuron_params']['single_neuron_dict']['tau_m']
+        C_m = self.params['neuron_params']['single_neuron_dict']['C_m']
+
+        if isinstance(self.params['fullscale_rates'], np.ndarray):
+            raise ValueError("Not supported. Please store the "
+                             "rates in a file and define the path to the file as "
+                             "the parameter value.")
+        else:
+            with open(self.params['fullscale_rates'], 'r') as f:
+                d = json.load(f)
+            full_mean_rates = dict_to_vector(d, self.area_list, self.structure)
+
+        rate_ext = self.params['input_params']['rate_ext']
+        J_ext = self.J_matrix[:, -1]
+        K_ext = self.K_matrix[:, -1]
+        x1_ext = 1e-3 * tau_m * J_ext * K_ext * rate_ext
+        x1 = 1e-3 * tau_m * np.dot(self.J_matrix[:, :-1] * self.K_matrix[:, :-1], full_mean_rates)
+        K_scaling = self.params['K_scaling']
+        self.J_matrix /= np.sqrt(K_scaling)
+        self.add_DC_drive = C_m / tau_m * ((1. - np.sqrt(K_scaling)) * (x1 + x1_ext))
+        neuron_params = self.params['neuron_params']['single_neuron_dict']
+        self.W_matrix = (1. / convert_syn_weight(1., neuron_params) * self.J_matrix)
diff --git a/multiarea_model/simulation.py b/multiarea_model/simulation.py
new file mode 100644
index 0000000000000000000000000000000000000000..0934568abba221db0ba9f8598b8ab0ef789bdf09
--- /dev/null
+++ b/multiarea_model/simulation.py
@@ -0,0 +1,591 @@
+"""
+multiarea_model
+==============
+
+Simulation class of the multi-area model of macaque visual vortex by
+Schmidt et al. (2018).
+
+
+Classes
+-------
+simulation : Loads a parameter file that specifies simulation parameters for a
+simulation of the instance of the model. A simulation is identified by a unique
+hash label.
+"""
+
+import h5py_wrapper as h5w
+import json
+import nest
+import numpy as np
+import os
+import pprint
+import shutil
+import time
+
+from config import base_path, data_path
+from copy import copy
+from .default_params import nested_update, sim_params
+from .default_params import check_custom_params
+from dicthash import dicthash
+from .multiarea_helpers import extract_area_dict, create_vector_mask
+from .sumatra_helpers import register_runtime
+
+
+class Simulation:
+    def __init__(self, network, sim_spec):
+        """
+        Simulation class.
+        An instance of the simulation class with the given parameters.
+        Can be created as a member class of a multiarea_model instance or standalone.
+
+        Parameters
+        ----------
+        network : multiarea_model
+            An instance of the multiarea_model class that specifies
+            the network to be simulated.
+        params : dict
+            custom simulation parameters that overwrite the
+            default parameters defined in default_params.py
+        """
+        self.params = copy(sim_params)
+        check_custom_params(sim_spec, self.params)
+        if isinstance(sim_spec, dict):
+            self.custom_params = sim_spec
+        else:
+            fn = os.path.join(data_path,
+                              sim_spec,
+                              '_'.join(('custom_params',
+                                        sim_spec)))
+            with open(fn, 'r') as f:
+                self.custom_params = json.load(f)['sim_params']
+
+        nested_update(self.params, self.custom_params)
+
+        self.network = network
+        self.label = dicthash.generate_hash_from_dict({'params': self.params,
+                                                       'network_label': self.network.label})
+
+        print("Simulation label: {}".format(self.label))
+        self.data_dir = os.path.join(data_path, self.label)
+        try:
+            os.mkdir(self.data_dir)
+            os.mkdir(os.path.join(self.data_dir, 'recordings'))
+        except OSError:
+            pass
+        self.copy_files()
+        print("Copied files.")
+        d = {'sim_params': self.custom_params,
+             'network_params': self.network.custom_params,
+             'network_label': self.network.label}
+        with open(os.path.join(self.data_dir,
+                               '_'.join(('custom_params', self.label))), 'w') as f:
+            json.dump(d, f)
+        print("Initialized simulation class.")
+
+        self.areas_simulated = self.params['areas_simulated']
+        self.areas_recorded = self.params['recording_dict']['areas_recorded']
+        self.T = self.params['t_sim']
+
+    def __eq__(self, other):
+        # Two simulations are equal if the simulation parameters and
+        # the simulated networks are equal.
+        return self.label == other.label
+
+    def __hash__(self):
+        return hash(self.label)
+
+    def __str__(self):
+        s = "Simulation {} of network {} with parameters:".format(self.label, self.network.label)
+        s += pprint.pformat(self.params, width=1)
+        return s
+
+    def copy_files(self):
+        """
+        Copy all relevant files for the simulation to its data directory.
+        """
+        files = [os.path.join('multiarea_model',
+                              'data_multiarea',
+                              'Model.py'),
+                 os.path.join('multiarea_model',
+                              'data_multiarea',
+                              'VisualCortex_Data.py'),
+                 os.path.join('multiarea_model',
+                              'multiarea_model.py'),
+                 os.path.join('multiarea_model',
+                              'simulation.py'),
+                 os.path.join('multiarea_model',
+                              'default_params.py'),
+                 os.path.join('config_files',
+                              ''.join(('custom_Data_Model_', self.network.label, '.json'))),
+                 os.path.join('config_files',
+                              '_'.join((self.network.label, 'config')))]
+        if self.network.params['connection_params']['replace_cc_input_file'] is not None:
+            files.append(self.network.params['connection_params']['replace_cc_input_file'])
+        for f in files:
+            shutil.copy2(os.path.join(base_path, f),
+                         self.data_dir)
+
+    def prepare(self):
+        """
+        Prepare NEST Kernel.
+        """
+        nest.ResetKernel()
+        master_seed = self.params['master_seed']
+        num_processes = self.params['num_processes']
+        local_num_threads = self.params['local_num_threads']
+        vp = num_processes * local_num_threads
+        nest.SetKernelStatus({'resolution': self.params['dt'],
+                              'total_num_virtual_procs': vp,
+                              'overwrite_files': True,
+                              'data_path': os.path.join(self.data_dir, 'recordings'),
+                              'print_time': False,
+                              'grng_seed': master_seed,
+                              'rng_seeds': list(range(master_seed + 1,
+                                                      master_seed + vp + 1))})
+        nest.SetNumRecProcesses(self.params['num_rec_processes'])
+
+        nest.SetDefaults(self.network.params['neuron_params']['neuron_model'],
+                         self.network.params['neuron_params']['single_neuron_dict'])
+        self.pyrngs = [np.random.RandomState(s) for s in list(range(
+            master_seed + vp + 1, master_seed + 2 * (vp + 1)))]
+
+    def create_areas(self):
+        """
+        Create all areas with their populations and internal connections.
+        """
+        self.areas = []
+        for area_name in self.areas_simulated:
+            a = Area(self, self.network, area_name)
+            self.areas.append(a)
+            print("Memory after {0} : {1:.2f} MB".format(area_name, self.memory() / 1024.))
+
+    def cortico_cortical_input(self):
+        """
+        Create connections between areas.
+        """
+        replace_cc = self.network.params['connection_params']['replace_cc']
+        replace_non_simulated_areas = self.network.params['connection_params'][
+            'replace_non_simulated_areas']
+        if self.network.params['connection_params']['replace_cc_input_file'] is None:
+            replace_cc_input_file = None
+        else:
+            replace_cc_input_file = os.path.join(self.data_dir,
+                                                 self.network.params['connection_params'][
+                                                  'replace_cc_input_file'])
+
+        if not replace_cc and set(self.areas_simulated) != set(self.network.area_list):
+            if replace_non_simulated_areas == 'het_current_nonstat':
+                non_simulated_cc_input = h5w.load(replace_cc_input_file)
+            elif replace_non_simulated_areas == 'het_poisson_stat':
+                fn = self.network.params['connection_params']['replace_cc_input_file']
+                with open(fn, 'r') as f:
+                    non_simulated_cc_input = json.load(f)
+            elif replace_non_simulated_areas == 'hom_poisson_stat':
+                non_simulated_cc_input = {source_area_name:
+                                          {source_pop:
+                                           self.params['input_params']['rate_ext']
+                                           for source_pop in
+                                           self.network.structure[source_area_name]}
+                                          for source_area_name in self.network.area_list}
+            else:
+                raise KeyError("Please define a valid method to"
+                               " replace non-simulated areas.")
+
+        if replace_cc == 'het_current_nonstat':
+            cc_input = h5w.load(replace_cc_input_file)
+        elif replace_cc == 'het_poisson_stat':
+            with open(self.network.params['connection_params']['replace_cc_input_file'], 'r') as f:
+                cc_input = json.load(f)
+        elif replace_cc == 'hom_poisson_stat':
+            cc_input = {source_area_name:
+                        {source_pop:
+                         self.params['input_params']['rate_ext']
+                         for source_pop in
+                         self.network.structure[source_area_name]}
+                        for source_area_name in self.network.area_list}
+
+        # Connections between simulated areas are not replaced
+        if not replace_cc:
+            for target_area in self.areas:
+                # Loop source area though complete list of areas
+                for source_area_name in self.network.area_list:
+                    if target_area.name != source_area_name:
+                        # If source_area is part of the simulated network, connect it to target_area
+                        if source_area_name in self.areas:
+                            source_area = self.areas[self.areas.index(source_area_name)]
+                            connect(self,
+                                    target_area,
+                                    source_area)
+                        # Else, replace the input from source_area with the chosen method
+                        else:
+                            target_area.create_additional_input(replace_non_simulated_areas,
+                                                                source_area_name,
+                                                                non_simulated_cc_input[
+                                                                    source_area_name])
+        # Connections between all simulated areas are replaced
+        else:
+            for target_area in self.areas:
+                for source_area in self.areas:
+                    if source_area != target_area:
+                        target_area.create_additional_input(replace_cc,
+                                                            source_area.name,
+                                                            cc_input[source_area.name])
+
+    def simulate(self):
+        """
+        Create the network and execute simulation.
+        Record used memory and wallclock time.
+        """
+        t0 = time.time()
+        self.base_memory = self.memory()
+        self.prepare()
+        t1 = time.time()
+        self.time_prepare = t1 - t0
+        print("Prepared simulation in {0:.2f} seconds.".format(self.time_prepare))
+
+        self.create_areas()
+        t2 = time.time()
+        self.time_network_local = t2 - t1
+        print("Created areas and internal connections in {0:.2f} seconds.".format(
+            self.time_network_local))
+
+        self.cortico_cortical_input()
+        t3 = time.time()
+        self.network_memory = self.memory()
+        self.time_network_global = t3 - t2
+        print("Created cortico-cortical connections in {0:.2f} seconds.".format(
+            self.time_network_global))
+
+        nest.Simulate(self.T)
+        t4 = time.time()
+        self.time_simulate = t4 - t3
+        self.total_memory = self.memory()
+        print("Simulated network in {0:.2f} seconds.".format(self.time_simulate))
+        self.logging()
+
+    def memory(self):
+        """
+        Use NEST's memory wrapper function to record used memory.
+        """
+        mem = nest.sli_func('memory_thisjob')
+        if isinstance(mem, dict):
+            return mem['heap']
+        else:
+            return mem
+
+    def logging(self):
+        """
+        Write runtime and memory for the first 30 MPI processes
+        to file.
+        """
+        if nest.Rank() < 30:
+            d = {'time_prepare': self.time_prepare,
+                 'time_network_local': self.time_network_local,
+                 'time_network_global': self.time_network_global,
+                 'time_simulate': self.time_simulate,
+                 'base_memory': self.base_memory,
+                 'network_memory': self.network_memory,
+                 'total_memory': self.total_memory}
+            fn = os.path.join(self.data_dir,
+                              'recordings',
+                              '_'.join((self.label,
+                                        'logfile',
+                                        str(nest.Rank()))))
+            with open(fn, 'w') as f:
+                json.dump(d, f)
+
+    def register_runtime(self):
+        register_runtime(self.label)
+
+
+class Area:
+    def __init__(self, simulation, network, name):
+        """
+        Area class.
+        This class encapsulates a single area of the model.
+        It creates all populations and the intrinsic connections between them.
+        It provides an interface to allow connecting the area to other areas.
+
+        Parameters
+        ----------
+        simulation : simulation
+           An instance of the simulation class that specifies the
+           simulation that the area is part of.
+        network : multiarea_model
+            An instance of the multiarea_model class that specifies
+            the network the area is part of.
+        name : str
+            Name of the area.
+        """
+
+        self.name = name
+        self.simulation = simulation
+        self.network = network
+        self.neuron_numbers = network.N[name]
+        self.synapses = extract_area_dict(network.synapses,
+                                          network.structure,
+                                          self.name,
+                                          self.name)
+        self.W = extract_area_dict(network.W,
+                                   network.structure,
+                                   self.name,
+                                   self.name)
+        self.W_sd = extract_area_dict(network.W_sd,
+                                      network.structure,
+                                      self.name,
+                                      self.name)
+        self.populations = network.structure[name]
+
+        self.external_synapses = {}
+        for pop in self.populations:
+            self.external_synapses[pop] = self.network.K[self.name][pop]['external']['external']
+
+        self.create_populations()
+        self.create_devices()
+        self.connect_populations()
+        print("Rank {}: created area {} with {} local nodes".format(nest.Rank(),
+                                                                    self.name,
+                                                                    self.num_local_nodes))
+
+    def __str__(self):
+        s = "Area {} with {} neurons.".format(
+            self.name, int(self.neuron_numbers['total']))
+        return s
+
+    def __eq__(self, other):
+        # If other is an instance of area, it should be the exact same area
+        # This opens the possibility to have multiple instance of one cortical areas
+        if isinstance(other, Area):
+            return self.name == other.name and self.gids == other.gids
+        elif isinstance(other, str):
+            return self.name == other
+
+    def create_populations(self):
+        """
+        Create all populations of the area.
+        """
+        self.gids = {}
+        self.num_local_nodes = 0
+        for pop in self.populations:
+            gid = nest.Create(self.network.params['neuron_params']['neuron_model'],
+                              int(self.neuron_numbers[pop]))
+            mask = create_vector_mask(self.network.structure, areas=[self.name], pops=[pop])
+            I_e = self.network.add_DC_drive[mask][0]
+            if not self.simulation.params['input_params']['poisson_input']:
+                K_ext = self.external_synapses[pop]
+                W_ext = self.network.W[self.name][pop]['external']['external']
+                tau_syn = self.network.params['neuron_params']['single_neuron_dict']['tau_syn_ex']
+                DC = K_ext * W_ext * tau_syn * 1.e-3 * \
+                    self.network.params['rate_ext']
+                I_e += DC
+            nest.SetStatus(gid, {'I_e': I_e})
+
+            # Store first and last GID of each population
+            self.gids[pop] = (gid[0], gid[-1])
+
+            # Initialize membrane potentials
+            # This could also be done after creating all areas, which
+            # might yield better performance. Has to be tested.
+            for t in np.arange(nest.GetKernelStatus('local_num_threads')):
+                local_nodes = np.array(nest.GetNodes(
+                    [0], {
+                        'model': self.network.params['neuron_params']['neuron_model'],
+                        'thread': t
+                    }, local_only=True
+                )[0])
+                local_nodes_pop = local_nodes[(np.logical_and(local_nodes >= gid[0],
+                                                              local_nodes <= gid[-1]))]
+                if len(local_nodes_pop) > 0:
+                    vp = nest.GetStatus([local_nodes_pop[0]], 'vp')[0]
+                    # vp is the same for all local nodes on the same thread
+                    nest.SetStatus(
+                        list(local_nodes_pop), 'V_m', self.simulation.pyrngs[vp].normal(
+                            self.network.params['neuron_params']['V0_mean'],
+                            self.network.params['neuron_params']['V0_sd'],
+                            len(local_nodes_pop))
+                            )
+                    self.num_local_nodes += len(local_nodes_pop)
+
+    def connect_populations(self):
+        """
+        Create connections between populations.
+        """
+        connect(self.simulation,
+                self,
+                self)
+
+    def create_devices(self):
+        """
+        Create devices for all populations. Depending on the configuration, this
+        will create:
+        - spike detectors
+        - voltmeters
+        - Poisson generators
+        """
+        if self.name in self.simulation.params['recording_dict']['areas_recorded']:
+            self.spike_detectors = []
+            for pop in self.populations:
+                sd = nest.Create('spike_detector', 1)
+                status_dict = copy(
+                    self.simulation.params['recording_dict']['spike_dict'])
+                label = '-'.join((self.simulation.label,
+                                  status_dict['label'],
+                                  self.name,
+                                  pop))
+                status_dict.update({'label': label})
+                nest.SetStatus(sd, status_dict)
+                self.spike_detectors.append(sd[0])
+                # Always record spikes from all neurons to get correct
+                # statistics
+                nest.Connect(tuple(range(self.gids[pop][0], self.gids[pop][1] + 1)), sd)
+
+            if self.simulation.params['recording_dict']['record_vm']:
+                self.voltmeters = []
+                for pop in self.populations:
+                    vm = nest.Create('voltmeter')
+                    status_dict = copy(
+                        self.simulation.params['recording_dict']['vm_dict'])
+                    label = '-'.join((self.simulation.label,
+                                      status_dict['label'],
+                                      self.name,
+                                      pop))
+                    status_dict.update({'label': label})
+                    nest.SetStatus(vm, status_dict)
+
+                    nrec = int(self.simulation.params['recording_dict']['Nrec_vm_fraction'] *
+                               self.neuron_numbers[pop])
+                    nest.Connect(vm,
+                                 tuple(range(self.gids[pop][0], self.gids[pop][0] + nrec + 1)))
+                    self.voltmeters.append(vm[0])
+        if self.simulation.params['input_params']['poisson_input']:
+            self.poisson_generators = []
+            for pop in self.populations:
+                K_ext = self.external_synapses[pop]
+                W_ext = self.network.W[self.name][pop]['external']['external']
+                pg = nest.Create('poisson_generator', 1)
+                nest.SetStatus(
+                    pg, {'rate': self.simulation.params['input_params']['rate_ext'] * K_ext})
+                syn_spec = {'weight': W_ext}
+                nest.Connect(pg,
+                             tuple(
+                                 range(self.gids[pop][0], self.gids[pop][1] + 1)),
+                             syn_spec=syn_spec)
+                self.poisson_generators.append(pg[0])
+
+    def create_additional_input(self, input_type, source_area_name, cc_input):
+        """
+        Replace the input from a source area by the chosen type of input.
+
+        Parameters
+        ----------
+        input_type : str, {'het_current_nonstat', 'hom_poisson_stat', 'het_poisson_stat'}
+            Type of input to replace source area. The source area can be replaced by
+            Poisson sources with the same global rate rate_ext ('hom_poisson_stat') or
+            by specific rates ('het_poisson_stat') or by time-varying specific current
+            ('het_current_nonstat')
+        source_area_name: str
+            Name of the source area to be replaced.
+        cc_input : dict
+            Dictionary of cortico-cortical input of the process replacing the source area.
+        """
+        synapses = extract_area_dict(self.network.synapses,
+                                     self.network.structure,
+                                     self.name,
+                                     source_area_name)
+        W = extract_area_dict(self.network.W,
+                              self.network.structure,
+                              self.name,
+                              source_area_name)
+        v = self.network.params['delay_params']['interarea_speed']
+        s = self.network.distances[self.name][source_area_name]
+        delay = s / v
+        for pop in self.populations:
+            for source_pop in self.network.structure[source_area_name]:
+                syn_spec = {'weight': W[pop][source_pop],
+                            'delay': delay}
+                K = synapses[pop][source_pop] / self.neuron_numbers[pop]
+
+                if input_type == 'het_current_nonstat':
+                    curr_gen = nest.Create('step_current_generator', 1)
+                    dt = self.simulation.params['dt']
+                    T = self.simulation.params['t_sim']
+                    assert(len(cc_input[source_pop]) == int(T))
+                    nest.SetStatus(curr_gen, {'amplitude_values': K * cc_input[source_pop] * 1e-3,
+                                              'amplitude_times': np.arange(dt,
+                                                                           T + dt,
+                                                                           1.)})
+                    nest.Connect(curr_gen,
+                                 tuple(
+                                     range(self.gids[pop][0], self.gids[pop][1] + 1)),
+                                 syn_spec=syn_spec)
+                elif 'poisson_stat' in input_type:  # hom. and het. poisson lead here
+                    pg = nest.Create('poisson_generator', 1)
+                    nest.SetStatus(pg, {'rate': K * cc_input[source_pop]})
+                    nest.Connect(pg,
+                                 tuple(
+                                     range(self.gids[pop][0], self.gids[pop][1] + 1)),
+                                 syn_spec=syn_spec)
+
+
+def connect(simulation,
+            target_area,
+            source_area):
+    """
+    Connect two areas with each other.
+
+    Parameters
+    ----------
+    simulation : Simulation instance
+        Simulation simulating the network containing the two areas.
+    target_area : Area instance
+        Target area of the projection
+    source_area : Area instance
+        Source area of the projection
+    """
+    network = simulation.network
+    synapses = extract_area_dict(network.synapses,
+                                 network.structure,
+                                 target_area.name,
+                                 source_area.name)
+    W = extract_area_dict(network.W,
+                          network.structure,
+                          target_area.name,
+                          source_area.name)
+    W_sd = extract_area_dict(network.W_sd,
+                             network.structure,
+                             target_area.name,
+                             source_area.name)
+    for target in target_area.populations:
+        for source in source_area.populations:
+            conn_spec = {'rule': 'fixed_total_number',
+                         'N': int(synapses[target][source])}
+
+            syn_weight = {'distribution': 'normal_clipped',
+                          'mu': W[target][source],
+                          'sigma': W_sd[target][source]}
+            if target_area == source_area:
+                if 'E' in source:
+                    syn_weight.update({'low': 0.})
+                    mean_delay = network.params['delay_params']['delay_e']
+                elif 'I' in source:
+                    syn_weight.update({'high': 0.})
+                    mean_delay = network.params['delay_params']['delay_i']
+            else:
+                v = network.params['delay_params']['interarea_speed']
+                s = network.distances[target_area.name][source_area.name]
+                mean_delay = s / v
+
+            syn_delay = {'distribution': 'normal_clipped',
+                         'low': simulation.params['dt'],
+                         'mu': mean_delay,
+                         'sigma': mean_delay * network.params['delay_params']['delay_rel']}
+            syn_spec = {'weight': syn_weight,
+                        'delay': syn_delay,
+                        'model': 'static_synapse'}
+
+            nest.Connect(tuple(range(source_area.gids[source][0],
+                                     source_area.gids[source][1] + 1)),
+                         tuple(range(target_area.gids[target][0],
+                                     target_area.gids[target][1] + 1)),
+                         conn_spec,
+                         syn_spec)
diff --git a/multiarea_model/sumatra_helpers.py b/multiarea_model/sumatra_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..9d04d7a59bc6579e267161ee74fd5042337eab9f
--- /dev/null
+++ b/multiarea_model/sumatra_helpers.py
@@ -0,0 +1,78 @@
+from config import data_path
+from sumatra.projects import load_project
+from sumatra.parameters import build_parameters
+import os
+import glob
+import json
+import numpy as np
+
+
+def register_record(label, reason=None, tag=None):
+    """
+    Register a simulation to the sumatra project.
+    Loads the sumatra project in the current repository
+
+    Parameters
+    ----------
+    label : str
+         Simulation label
+    reason : str, optional
+         Reason for the simulation run stored in the sumatra database
+    tag : str, optional
+         Tag for the simulation run stored in the sumatra database
+    """
+
+    project = load_project()
+
+    para_fn = os.path.join(data_path,
+                           label,
+                           '_'.join(('custom_params',
+                                     label)))
+    parameters = build_parameters(para_fn)
+
+    record = project.new_record(parameters=parameters,
+                                main_file='nest_simulation.py',
+                                reason=reason,
+                                label=label)
+    record.duration = 0.  # Add 0 for now and update later
+    project.add_record(record)
+
+    project.save()
+
+    if tag is not None:
+        project.add_tag(label, tag)
+
+
+def register_runtime(label):
+    """
+    Register the duration of simulation run in the sumatra database.
+    Loads the runtime automatically from the logfiles in the simulation
+    directory.
+
+    Parameters
+    ----------
+    label : str
+         Simulation label
+    """
+    fp = os.path.join(data_path,
+                      label,
+                      'recordings',
+                      'runtime_*')
+    files = glob.glob(fp)
+
+    for ii, fn in enumerate(files):
+        with open(fn, 'r') as f:
+            d = json.load(f)
+        if ii == 0:
+            data = {key: [value] for key, value in d.items()}
+        else:
+            for key, value in d.items():
+                data[key].append(value)
+    for key, value in data.items():
+        data[key] = np.mean(value)
+
+    project = load_project()
+    record = project.get_record(label)
+    record.duration = sum(data.values())
+    project.add_record(record)
+    project.save()
diff --git a/multiarea_model/theory.py b/multiarea_model/theory.py
new file mode 100644
index 0000000000000000000000000000000000000000..b028421165f484d3d835651f6918ec13793f10c9
--- /dev/null
+++ b/multiarea_model/theory.py
@@ -0,0 +1,359 @@
+"""
+theory
+============
+
+Theory package to predict the stable fixed points of the multi-area
+model of macaque visual cortex (Schmidt et al. 2015), perform further
+analysis on them and to apply the stabilization procedure (Schuecker,
+Schmidt et al., 2017) to the network connectivity.
+
+
+Classes
+--------
+
+theory : provides functionality to predict the stable fixed point of
+the model, perform further analysis and execute the stabilization
+provedure.
+
+Authors
+--------
+Maximilian Schmidt
+Jannis Schuecker
+
+"""
+
+import json
+import pprint
+import nest
+import numpy as np
+
+from copy import copy
+from .default_params import nested_update, theory_params
+from .default_params import check_custom_params
+from dicthash import dicthash
+from .multiarea_helpers import create_mask, create_vector_mask, dict_to_vector
+from .theory_helpers import d_nu_d_mu_fb_numeric, d_nu_d_sigma_fb_numeric
+
+
+class Theory():
+    def __init__(self, network, theory_spec):
+        self.params = copy(theory_params)
+        check_custom_params(theory_spec, self.params)
+        self.custom_params = theory_spec
+        nested_update(self.params, self.custom_params)
+
+        self.network = network
+        E_L = self.params['neuron_params']['single_neuron_dict']['E_L']
+        self.NP = {'theta': self.params['neuron_params']['single_neuron_dict']['V_th'] - E_L,
+                   'V_reset': self.params['neuron_params']['single_neuron_dict']['V_reset'] - E_L,
+                   'tau_m': self.params['neuron_params']['single_neuron_dict']['tau_m'],
+                   # assumes that tau_syn_ex = tau_syn_in in LIF neuron
+                   'tau_syn': self.params['neuron_params']['single_neuron_dict']['tau_syn_ex'],
+                   't_ref': self.params['neuron_params']['single_neuron_dict']['t_ref'],
+                   'tau': 1.}
+
+        self.label = dicthash.generate_hash_from_dict({'params': self.params,
+                                                       'network_label': self.network.label})
+
+    def __eq__(self, other):
+        return self.label == other.label
+
+    def __str__(self):
+        s = "Analytical theory {} of network {}".format(self.label, self.network.label)
+        s += "with parameters:"
+        s += pprint.pformat(self.params, width=1)
+        return s
+
+    def __hash__(self):
+        return hash(self.label)
+
+    def integrate_siegert(self, full_output=True):
+        """
+        Integrate siegert formula to obtain stationary rates. See Eq. (3)
+        and following in Schuecker, Schmidt et al. (2017).
+        """
+        dt = self.params['dt']
+        T = self.params['T']
+        rate_ext = self.params['input_params']['rate_ext']
+        K = copy(self.network.K_matrix)
+        J = copy(self.network.J_matrix)
+        tau = self.NP['tau_m'] * 1e-3
+        dim = np.shape(K)[0]
+        nest.ResetKernel()
+        nest.set_verbosity('M_ERROR')
+        nest.SetKernelStatus({'resolution': dt,
+                              'use_wfr': False,
+                              'print_time': False,
+                              'overwrite_files': True})
+        # create neurons for external drive
+        drive = nest.Create(
+            'siegert_neuron', 1, params={'rate': rate_ext, 'mean': rate_ext})
+        # create neurons representing populations
+        neurons = nest.Create(
+            'siegert_neuron', dim, params=self.NP)
+        # external drive
+        syn_dict = {'drift_factor': tau * np.array([K[:, -1] * J[:, -1]]).transpose(),
+                    'diffusion_factor': tau * np.array([K[:, -1] * J[:, -1]**2]).transpose(),
+                    'model': 'diffusion_connection',
+                    'receptor_type': 0}
+        nest.Connect(drive, neurons, 'all_to_all', syn_dict)
+
+        # external DC drive (expressed in mV)
+        DC_drive = nest.Create(
+            'siegert_neuron', 1, params={'rate': 1., 'mean': 1.})
+
+        C_m = self.network.params['neuron_params']['single_neuron_dict']['C_m']
+        syn_dict = {'drift_factor': 1e3 * tau / C_m * np.array(
+            self.network.add_DC_drive).reshape(dim, 1),
+                    'diffusion_factor': 0.,
+                    'model': 'diffusion_connection',
+                    'receptor_type': 0}
+        nest.Connect(DC_drive, neurons, 'all_to_all', syn_dict)
+        # handle switches for cortico-cortical connectivity
+        if (self.network.params['connection_params']['replace_cc'] in
+                ['hom_poisson_stat', 'het_poisson_stat']):
+            mu_CC, sigma2_CC = self.replace_cc_input()
+            mask = create_mask(self.network.structure, cortico_cortical=True, external=False)
+            K[mask] = 0.
+            # Additional external drive
+            # The actual rate is included in the connection
+            add_drive = nest.Create('siegert_neuron', 1, params={'rate': 1., 'mean': 1.})
+            syn_dict = {'drift_factor': np.array([mu_CC]).transpose(),
+                        'diffusion_factor': np.array([sigma2_CC]).transpose(),
+                        'model': 'diffusion_connection',
+                        'receptor_type': 0}
+            nest.Connect(add_drive, neurons, 'all_to_all', syn_dict)
+        elif self.network.params['connection_params']['replace_cc'] == 'het_current_nonstat':
+            raise NotImplementedError('Replacing the cortico-cortical input by'
+                                      ' non-stationary current input is not supported'
+                                      ' in the Theory class.')
+        # network connections
+        syn_dict = {'drift_factor': tau * K[:, :-1] * J[:, :-1],
+                    'diffusion_factor': tau * K[:, :-1] * J[:, :-1]**2,
+                    'model': 'diffusion_connection',
+                    'receptor_type': 0}
+        nest.Connect(neurons, neurons, 'all_to_all', syn_dict)
+
+        # Set initial rates of neurons:
+        if self.params['initial_rates'] is not None:
+            # iterate over different initial conditions drawn from a random distribution
+            if self.params['initial_rates'] == 'random_uniform':
+                gen = self.initial_rates(self.params['initial_rates_iter'],
+                                         dim,
+                                         mode=self.params['initial_rates'],
+                                         rate_max=1000.)
+                num_iter = self.params['initial_rates_iter']
+            # initial rates are explicitly defined in self.params
+            elif isinstance(self.params['initial_rates'], np.ndarray):
+                num_iter = 1
+                gen = (self.params['initial_rates'] for ii in range(num_iter))
+        # if initial rates are not defined, set them 0
+        else:
+            num_iter = 1
+            gen = (np.zeros(dim) for ii in range(num_iter))
+        rates = []
+
+        # Loop over all iterations of different initial conditions
+        for nsim in range(num_iter):
+            print("Iteration {}".format(nsim))
+            initial_rates = next(gen)
+            for ii in range(dim):
+                nest.SetStatus([neurons[ii]], {'rate': initial_rates[ii]})
+
+            # create recording device
+            multimeter = nest.Create('multimeter', params={'record_from':
+                                                           ['rate'], 'interval': 1.,
+                                                           'to_screen': False,
+                                                           'to_file': False,
+                                                           'to_memory': True})
+            # multimeter
+            nest.Connect(multimeter, neurons)
+            nest.Connect(multimeter, drive)
+
+            # simulate
+            nest.Simulate(T)
+
+            data = nest.GetStatus(multimeter)[0]['events']
+            res = np.array([np.insert(data['rate'][np.where(data['senders'] == n)],
+                                      0,
+                                      initial_rates[ii])
+                            for ii, n in enumerate(neurons)])
+
+            if full_output:
+                rates.append(res)
+            else:
+                # Keep only initial and final rates
+                rates.append(res[:, [0, -1]])
+
+        if num_iter == 1:
+            return self.network.structure_vec, rates[0]
+        else:
+            return self.network.structure_vec, rates
+
+    def replace_cc_input(self):
+        """
+        Helper function to replace cortico-cortical input by different variants.
+        """
+        mu_CC = np.array([])
+        sigma2_CC = np.array([])
+        if self.network.params['connection_params']['replace_cc'] == 'het_poisson_stat':
+            with open(self.network.params['connection_params']['replace_cc_input_file'], 'r') as f:
+                rates = json.load(f)
+                self.cc_input_rates = dict_to_vector(rates,
+                                                     self.network.area_list,
+                                                     self.network.structure)
+        elif self.network.params['connection_params']['replace_cc'] == 'hom_poisson_stat':
+            self.cc_input_rates = (np.ones(self.network.K_matrix.shape[0]) *
+                                   self.network.params['input_params']['rate_ext'])
+        for area in self.network.area_list:
+            area_dim = len(self.network.structure[area])
+            mask = create_mask(self.network.structure,
+                               cortico_cortical=True, target_areas=[area],
+                               external=False)
+
+            input_areas = list(set(self.network.structure.keys()).difference({area}))
+            rate_mask = create_vector_mask(self.network.structure,
+                                           areas=input_areas)
+            rate_vector = self.cc_input_rates[rate_mask]
+            N_input_pops = self.network.K_matrix.shape[1] - 1 - area_dim
+            K_CC = self.network.K_matrix[mask].reshape((area_dim,
+                                                        N_input_pops))
+            J_CC = self.network.J_matrix[mask].reshape((area_dim,
+                                                        N_input_pops))
+            mu_CC = np.append(mu_CC, np.dot(K_CC * J_CC, rate_vector))
+            sigma2_CC = np.append(sigma2_CC, np.dot(K_CC * J_CC**2, rate_vector))
+        tau = self.NP['tau_m'] * 1e-3
+        mu_CC *= tau
+        sigma2_CC *= tau
+        return mu_CC, sigma2_CC
+
+    def initial_rates(self, num_iter, dim, mode='random_uniform', rate_max=100., rng_seed=123):
+        """
+        Helper function to create generator for initial rates
+        """
+        np.random.seed(rng_seed)
+        n = 0
+        while n < num_iter:
+            yield rate_max * np.random.rand(dim)
+            n += 1
+
+    def mu_sigma(self, rates, external=True, matrix_filter=None,
+                 vector_filter=None, replace_cc=None):
+        """
+        Calculates mean and variance according to the
+        theory.
+        """
+        if matrix_filter is not None:
+            K = copy(self.network.K_matrix)
+            J = copy(self.network.J_matrix)
+            K[np.logical_not(matrix_filter)] = 0.
+            J[np.logical_not(matrix_filter)] = 0.
+        else:
+            K = self.network.K_matrix
+            J = self.network.J_matrix
+        if replace_cc is not None:
+            mu_CC, sigma2_CC = self.replace_cc_input(replace_cc)
+            mask = create_mask(self.network.structure, cortico_cortical=True, external=False)
+            K[mask] = 0.
+        else:
+            mu_CC = np.zeros_like(rates)
+            sigma2_CC = np.zeros_like(rates)
+        KJ = K * J
+        J2 = J * J
+        if external:
+            rates = np.hstack((rates, self.params['input_params']['rate_ext']))
+        else:
+            rates = np.hstack((rates, np.zeros(self.dim_ext)))
+        # if dist:
+        #     # due to distributed weights with std = 0.1
+        #     J2[:, :7] += 0.01 * J[:, :7] * J[:, :7]
+        KJ2 = K * J2
+        C_m = self.network.params['neuron_params']['single_neuron_dict']['C_m']
+        mu = self.NP['tau_m'] * 1e-3 * np.dot(KJ, rates) + mu_CC + self.NP[
+            'tau_m'] / C_m * self.network.add_DC_drive
+        sigma2 = self.NP['tau_m'] * 1e-3 * np.dot(KJ2, rates) + sigma2_CC
+        sigma = np.sqrt(sigma2)
+
+        return mu, sigma
+
+    def stability_matrix(self, rates, matrix_filter=None,
+                         vector_filter=None, full_output=False, replace_cc=None):
+        """
+        Computes stability matrix on the population level.
+        """
+        if np.any(matrix_filter is not None):
+            assert(np.any(vector_filter is not None))
+            assert(self.network.N_vec[vector_filter].size *
+                   (self.network.N_vec[vector_filter].size + 1) ==
+                   self.network.K_matrix[matrix_filter].size)
+            N = self.network.N_vec[vector_filter]
+            K = (self.network.K_matrix[matrix_filter].reshape((N.size, N.size + 1)))[:, :-1]
+            J = (self.network.J_matrix[matrix_filter].reshape((N.size, N.size + 1)))[:, :-1]
+        else:
+            N = self.network.N_vec
+            K = self.network.K_matrix[:, :-1]
+            J = self.network.J_matrix[:, :-1]
+
+        N_pre = np.zeros_like(K)
+        N_post = np.zeros_like(K)
+        for ii in range(N.size):
+            N_pre[ii] = N
+            N_post[:, ii] = N
+
+        # Connection probabilities between populations
+        C = 1. - (1.-1./(N_pre * N_post))**(K*N_post)
+        mu, sigma = self.mu_sigma(rates, replace_cc=replace_cc)
+
+        if np.any(vector_filter is not None):
+            mu = mu[vector_filter]
+            sigma = sigma[vector_filter]
+        slope = np.array([d_nu_d_mu_fb_numeric(1.e-3*self.NP['tau_m'],
+                                               1.e-3*self.NP['tau_syn'],
+                                               1.e-3*self.NP['t_ref'],
+                                               self.NP['V_th'],
+                                               self.NP['V_reset'],
+                                               mu[ii], sigma[ii]) for ii in range(N.size)])
+
+        slope_sigma = np.array([d_nu_d_sigma_fb_numeric(1.e-3*self.NP['tau_m'],
+                                                        1.e-3*self.NP['tau_syn'],
+                                                        1.e-3*self.NP['t_ref'],
+                                                        self.NP['V_th'],
+                                                        self.NP['V_reset'],
+                                                        mu[ii], sigma[ii])*1/(
+                                                            2. * sigma[ii]) for ii in range(N.size)])  # 1/(mV)**2
+        slope_matrix = np.zeros_like(J)
+        slope_sigma_matrix = np.zeros_like(J)
+        for ii in range(N.size):
+            slope_matrix[:, ii] = slope
+            slope_sigma_matrix[:, ii] = slope_sigma
+        V = C*(1-C)
+        G = (self.NP['tau_m'] * 1e-3)**2 * (slope_matrix*J +
+                                            slope_sigma_matrix*J**2)**2
+        G_N = N_pre * G
+        M = G_N * V
+        if full_output:
+            return M, slope, slope_sigma, M, C, V, G_N, J, N_pre
+        else:
+            return M
+
+    def lambda_max(self, rates, matrix_filter=None,
+                   vector_filter=None, full_output=False, replace_cc=None):
+        """
+        Computes radius of eigenvalue spectrum of the stability matrix.
+        """
+        if full_output:
+            M, slope, slope_sigma, M, EV, C, V, G_N = self.stability_matrix(rates,
+                                                                            matrix_filter=matrix_filter,
+                                                                            vector_filter=vector_filter,
+                                                                            full_output=full_output,
+                                                                            replace_cc=replace_cc)
+        else:
+            M = self.stability_matrix(rates, matrix_filter=matrix_filter,
+                                      vector_filter=vector_filter,
+                                      full_output=full_output, replace_cc=replace_cc)
+        EV = np.linalg.eig(M)
+        lambda_max = np.sqrt(np.max(np.real(EV[0])))
+        if full_output:
+            return lambda_max, slope, slope_sigma, M, EV, C, V, G
+        else:
+            return lambda_max
diff --git a/multiarea_model/theory_helpers.py b/multiarea_model/theory_helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..af2b4b60ae5b310d92d28b87586756beb51a172c
--- /dev/null
+++ b/multiarea_model/theory_helpers.py
@@ -0,0 +1,382 @@
+"""
+theory_helpers
+============
+
+Helper function for the theory class.
+Evaluates the Siegert formula and its
+derivations.
+
+
+Functions
+--------
+
+
+Authors
+--------
+Maximilian Schmidt
+Jannis Schuecker
+
+"""
+
+import numpy as np
+import scipy
+import scipy.integrate
+import scipy.stats
+import scipy.special
+
+
+def nu0_fb(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the stationary firing rate of a neuron with synaptic
+    filter of time constant tau_s driven by Gaussian white noise, from
+    Fourcoud & Brunel 2002. #
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_s : float
+        Synaptic time constant of the neuron in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+    alpha = np.sqrt(2) * abs(scipy.special.zetac(0.5) + 1)
+
+    # effective threshold
+    V_th1 = V_th + sigma * alpha / 2. * np.sqrt(tau_s / tau_m)
+
+    # effective reset
+    V_r1 = V_r + sigma * alpha / 2. * np.sqrt(tau_s / tau_m)
+
+    # use standard Siegert with modified threshold and reset
+    return nu_0(tau_m, tau_r, V_th1, V_r1, mu, sigma)
+
+
+def nu_0(tau_m, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the stationary firing rate of neuron
+    without synaptic filtering.
+    Evaluate the Siegert function given the
+    mean and variance of the input current.
+    See Eq. 3 of Schuecker, Schmidt et al. (2017).
+    This function decides automatically whether to use
+    siegert1 or siegert2.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    if mu <= V_th + (0.95 * abs(V_th) - abs(V_th)):
+        # if  mu <= 0.95*V_th:
+        return siegert1(tau_m, tau_r, V_th, V_r, mu, sigma)
+    else:
+        return siegert2(tau_m, tau_r, V_th, V_r, mu, sigma)
+
+
+def siegert1(tau_m, tau_r, V_th, V_r, mu, sigma):
+    """
+    Evaluate the Siegert function given the
+    mean and variance of the input current.
+    See Eq. 3 of Schuecker, Schmidt et al. (2017).
+    Use this function if the mean input current is
+    below the threshold potential.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    y_th = (V_th - mu) / sigma
+    y_r = (V_r - mu) / sigma
+
+    def integrand(u):
+        if u == 0:
+            return np.exp(-y_th**2) * 2 * (y_th - y_r)
+        else:
+            return np.exp(-(u - y_th)**2) * (1.0 - np.exp(2 * (y_r - y_th) * u)) / u
+
+    lower_bound = y_th
+    err_dn = 1.0
+    while err_dn > 1e-12 and lower_bound > 1e-16:
+        err_dn = integrand(lower_bound)
+        if err_dn > 1e-12:
+            lower_bound /= 2
+
+    upper_bound = y_th
+    err_up = 1.0
+    while err_up > 1e-12:
+        err_up = integrand(upper_bound)
+        if err_up > 1e-12:
+            upper_bound *= 2
+
+    # Check to prevent overflow:
+    if y_th >= 20:
+        out = 0.
+    if y_th < 20:
+        out = 1.0 / (tau_r + np.exp(y_th**2) *
+                     scipy.integrate.quad(integrand, lower_bound,
+                                          upper_bound)[0] * tau_m)
+    else:
+        out = 0.
+    return out
+
+
+def siegert2(tau_m, tau_r, V_th, V_r, mu, sigma):
+    """
+    Evaluate the Siegert function given the
+    mean and variance of the input current.
+    See Eq. 3 of Schuecker, Schmidt et al. (2017).
+    Use this function if the mean input current is
+    above the threshold potential.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    y_th = (V_th - mu) / sigma
+    y_r = (V_r - mu) / sigma
+
+    def integrand(u):
+        if u == 0:
+            return 2 * (y_th - y_r)
+        else:
+            return (np.exp(2 * y_th * u - u**2) - np.exp(2 * y_r * u - u**2)) / u
+
+    upper_bound = 1.0
+    err = 1.0
+    while err > 1e-12:
+        err = integrand(upper_bound)
+        upper_bound *= 2
+
+    return 1.0 / (tau_r + scipy.integrate.quad(integrand, 0.0, upper_bound)[0] * tau_m)
+
+
+def d_nu_d_mu_fb_numeric(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the derivative of the firing rate with respect
+    to the mean of the input current for a neuron with
+    synaptic filtering.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_s : float
+        Synaptic time constant of the neuron in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    alpha = np.sqrt(2) * abs(scipy.special.zetac(0.5) + 1)
+
+    # effective threshold
+    V_th1 = V_th + sigma * alpha / 2. * np.sqrt(tau_s / tau_m)
+
+    # effective reset
+    V_r1 = V_r + sigma * alpha / 2. * np.sqrt(tau_s / tau_m)
+    return d_nu_d_mu_numeric(tau_m, tau_r, V_th1, V_r1, mu, sigma)
+
+
+def d_nu_d_mu_numeric(tau_m, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the derivative of the firing rate with respect
+    to the mean of the input current for a neuron without
+    synaptic filtering.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    eps = 0.01
+    nu0_minus = nu_0(tau_m, tau_r, V_th, V_r, mu, sigma)
+    nu0_plus = nu_0(tau_m, tau_r, V_th, V_r, mu + eps, sigma)
+
+    return (nu0_plus - nu0_minus) / eps
+
+
+def d_nu_d_sigma_fb_numeric(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the derivative of the firing rate with respect
+    to the variance of the input current for a neuron with
+    synaptic filtering.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_s : float
+        Synaptic time constant of the neuron in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    alpha = np.sqrt(2) * abs(scipy.special.zetac(0.5) + 1)
+
+    # effective threshold
+    V_th1 = V_th + sigma * alpha / 2. * np.sqrt(tau_s / tau_m)
+
+    # effective reset
+    V_r1 = V_r + sigma * alpha / 2. * np.sqrt(tau_s / tau_m)
+    return d_nu_d_sigma_numeric(tau_m, tau_r, V_th1, V_r1, mu, sigma)
+
+
+def d2_nu_d_sigma_fb_numeric(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the 2nd derivative of the firing rate with respect
+    to the variance of the input current for a neuron with
+    synaptic filtering.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_s : float
+        Synaptic time constant of the neuron in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    eps = 0.01
+    sigma0_minus = d_nu_d_sigma_fb_numeric(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma)
+    sigma0_plus = d_nu_d_sigma_fb_numeric(
+        tau_m, tau_s, tau_r, V_th, V_r, mu, sigma + eps)
+    return (sigma0_plus - sigma0_minus) / eps
+
+
+def d_nu_d_sigma_numeric(tau_m, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the 2nd derivative of the firing rate with respect
+    to the variance of the input current for a neuron without
+    synaptic filtering.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    eps = 0.01
+    nu0_minus = nu_0(tau_m, tau_r, V_th, V_r, mu, sigma)
+    nu0_plus = nu_0(tau_m, tau_r, V_th, V_r, mu, sigma + eps)
+
+    return (nu0_plus - nu0_minus) / eps
+
+
+def d2_nu_d_mu_fb_numeric(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma):
+    """
+    Compute the 2nd derivative of the firing rate with respect
+    to the mean of the input current for a neuron with
+    synaptic filtering.
+
+    Parameters
+    ----------
+    tau_m : float
+        Membrane time constant of the neurons in ms.
+    tau_s : float
+        Synaptic time constant of the neuron in ms.
+    tau_r : float
+        Refractory time of the neurons in ms.
+    V_th : float
+        Threshold membrane potential of the neurons in mV.
+    V_r : float
+        Reset potential of the neurons in mV.
+    mu : float
+        Mean of the input current to the neurons in mV
+    sigma : float
+        Variance of the input current to the neurons in mV
+    """
+
+    eps = 0.01
+    nu0_minus = d_nu_d_mu_fb_numeric(tau_m, tau_s, tau_r, V_th, V_r, mu, sigma)
+    nu0_plus = d_nu_d_mu_fb_numeric(
+        tau_m, tau_s, tau_r, V_th, V_r, mu + eps, sigma)
+    return (nu0_plus - nu0_minus) / eps
diff --git a/run_example.py b/run_example.py
new file mode 100644
index 0000000000000000000000000000000000000000..9493656fc1358076ff79c1e8d142118f83d01022
--- /dev/null
+++ b/run_example.py
@@ -0,0 +1,89 @@
+from multiarea_model import MultiAreaModel
+from start_jobs import start_job
+from config import submit_cmd, jobscript_template
+
+"""
+Example script showing how to simulate the multi-area model
+on a cluster.
+
+We choose the same configuration as in
+Fig. 3 of Schmidt et al. (2018).
+
+"""
+
+"""
+Full model. Needs to be simulated with sufficient
+resources, for instance on a compute cluster.
+"""
+d = {}
+conn_params = {'replace_non_simulated_areas': 'het_poisson_stat',
+               'g': -11.,
+               'K_stable': 'K_stable.npy',
+               'fac_nu_ext_TH': 1.2,
+               'fac_nu_ext_5E': 1.125,
+               'fac_nu_ext_6E': 1.41666667,
+               'av_indegree_V1': 3950.}
+input_params = {'rate_ext': 10.}
+neuron_params = {'V0_mean': -150.,
+                 'V0_sd': 50.}
+network_params = {'N_scaling': 1.,
+                  'K_scaling': 1.,
+                  'connection_params': conn_params,
+                  'neuron_params': neuron_params}
+
+sim_params = {'t_sim': 2000.,
+              'num_processes': 360,
+              'num_rec_processes': 1,
+              'local_num_threads': 1,
+              'input_params': input_params,
+              'recording_dict': {'record_vm': False}}
+
+theory_params = {'dt': 0.1}
+
+M = MultiAreaModel(network_params, simulation=True,
+                   sim_spec=sim_params,
+                   theory=True,
+                   theory_spec=theory_params)
+p, r = M.theory.integrate_siegert()
+start_job(M.simulation.label, submit_cmd, jobscript_template)
+
+
+"""
+Down-scaled model.
+Neurons and indegrees are both scaled down to 10 %.
+Can be usually simulated on a local machine.
+
+Warning: This will not yield reasonable dynamical results from the
+network and is only meant to demonstrate the simulation workflow.
+"""
+d = {}
+conn_params = {'replace_non_simulated_areas': 'het_poisson_stat',
+               'g': -11.,
+               'K_stable': 'K_stable.npy',
+               'fac_nu_ext_TH': 1.2,
+               'fac_nu_ext_5E': 1.125,
+               'fac_nu_ext_6E': 1.41666667,
+               'av_indegree_V1': 3950.}
+input_params = {'rate_ext': 10.}
+neuron_params = {'V0_mean': -150.,
+                 'V0_sd': 50.}
+network_params = {'N_scaling': 0.01,
+                  'K_scaling': 0.01,
+                  'fullscale_rates': 'fullscale_rates.json',
+                  'connection_params': conn_params,
+                  'neuron_params': neuron_params}
+
+sim_params = {'t_sim': 2000.,
+              'num_processes': 1,
+              'local_num_threads': 1,
+              'input_params': input_params,
+              'recording_dict': {'record_vm': False}}
+
+theory_params = {'dt': 0.1}
+
+M = MultiAreaModel(network_params, simulation=True,
+                   sim_spec=sim_params,
+                   theory=True,
+                   theory_spec=theory_params)
+p, r = M.theory.integrate_siegert()
+M.simulation.simulate()
diff --git a/simulations/.gitignore b/simulations/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..86d0cb2726c6c7c179b99520c452dd1b68e7a813
--- /dev/null
+++ b/simulations/.gitignore
@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore
\ No newline at end of file
diff --git a/start_jobs.py b/start_jobs.py
new file mode 100644
index 0000000000000000000000000000000000000000..eb4094981d0d5c5611777aa7700b28c0e3d57782
--- /dev/null
+++ b/start_jobs.py
@@ -0,0 +1,77 @@
+import json
+import os
+import shutil
+
+from config import base_path, data_path
+from multiarea_model.default_params import nested_update, sim_params
+from multiarea_model.sumatra_helpers import register_record
+
+
+def start_job(label, submit_cmd, jobscript_template, sumatra=False, reason=None, tag=None):
+    """
+    Start job on a compute cluster.
+
+    Parameters
+    ----------
+
+    label : str
+        Simulation label identifying the simulation to be run.
+    submit_cmd : str
+        Submit command of the queueing system used.
+    job_script_template : formatted str
+        Formatted string defining the template for the job script.
+        Can include the following keyword arguments:
+            sim_dir : str
+                Directory of the simulation
+            label : str
+                Simulation label
+            num_processes : int
+                Total number of MPI processes, defined in sim_params
+            local_num_threads : int
+                Number of OpenMP threads per MPI process, defined in sim_params
+            base_path : str
+                Base path of the library defined in config.py
+    """
+
+    # Copy run_simulation script to simulation folder
+    shutil.copy2(os.path.join(base_path, 'run_simulation.py'),
+                 os.path.join(data_path, label))
+
+    # Load simulation parameters
+    fn = os.path.join(data_path,
+                      label,
+                      '_'.join(('custom_params',
+                                label)))
+    with open(fn, 'r') as f:
+        custom_params = json.load(f)
+    nested_update(sim_params, custom_params['sim_params'])
+
+    # Copy custom param file for each MPI process
+    for ii in range(sim_params['num_processes']):
+        shutil.copy(fn, '_'.join((fn, str(ii))))
+    # Collect relevant arguments for job script
+    num_vp = sim_params['num_processes'] * sim_params[
+        'local_num_threads']
+    d = {'label': label,
+         'network_label': custom_params['network_label'],
+         'base_path': base_path,
+         'sim_dir': os.path.join(data_path, label),
+         'local_num_threads': sim_params['local_num_threads'],
+         'num_processes': sim_params['num_processes'],
+         'num_vp': num_vp}
+
+    # Write job script
+    job_script_fn = os.path.join(data_path,
+                                 label,
+                                 '_'.join(('job_script',
+                                           '.'.join((label, 'sh')))))
+    with open(job_script_fn, 'w') as f:
+        f.write(jobscript_template.format(**d))
+
+    # If chosen, register simulation to sumatra
+    if sumatra:
+        register_record(label, reason=reason, tag=tag)
+
+    # Submit job
+    os.system('{submit_cmd} {job_script_fn}'.format(submit_cmd=submit_cmd,
+                                                    job_script_fn=job_script_fn))
diff --git a/tests/fullscale_rates.json b/tests/fullscale_rates.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c117f378e5859d8e10074e417c91381a05b6c98
--- /dev/null
+++ b/tests/fullscale_rates.json
@@ -0,0 +1 @@
+{"V1": {"23E": 0.3858121051439447, "23I": 1.5101837305831045, "4E": 3.0154337487551612, "4I": 2.1226288258139516, "5E": 0.7557667093727304, "5I": 3.4164130572192417, "6E": 0.03938976954533646, "6I": 3.1029879083855554, "total": 14.348615854819025}, "V2": {"23E": 0.281526001851213, "23I": 1.690579458026137, "4E": 4.406143343655129, "4I": 2.590008872644078, "5E": 0.4353101700422517, "5I": 4.256342320156358, "6E": 0.00520719581497678, "6I": 3.829627284923727, "total": 17.49474464711387}, "VP": {"23E": 0.26667309441039344, "23I": 1.5646277526452759, "4E": 3.855957656523084, "4I": 2.332343989661588, "5E": 0.3777528772435875, "5I": 3.80276479265308, "6E": 0.005449493985125994, "6I": 3.4007005490777824, "total": 15.606270206199916}, "V3": {"23E": 0.26522283809074615, "23I": 1.5890496685914728, "4E": 3.9999142404009875, "4I": 2.4031592695425026, "5E": 0.37338707586835596, "5I": 3.8918145223186604, "6E": 0.0048995982052928875, "6I": 3.4724441635838033, "total": 15.999891376601823}, "V3A": {"23E": 0.2055874899296979, "23I": 1.6318076595395163, "4E": 5.031908801108765, "4I": 2.616737006407014, "5E": 0.16163448579766138, "5I": 4.216753018560629, "6E": 0.0002404199736551271, "6I": 3.696478770999642, "total": 17.56114765231658}, "MT": {"23E": 0.2225365260018482, "23I": 1.6694584815578197, "4E": 4.957746305184278, "4I": 2.634092821549603, "5E": 0.19927321313837607, "5I": 4.265890963471466, "6E": 0.00046880720748586395, "6I": 3.7549932969357265, "total": 17.704460415046604}, "V4t": {"23E": 0.20473937908600354, "23I": 1.4642255520539726, "4E": 4.2594431322089195, "4I": 2.2900085668793166, "5E": 0.20251532933761243, "5I": 3.716925498847328, "6E": 0.0007032039380856463, "6I": 3.2757355758750806, "total": 15.414296238226319}, "V4": {"23E": 0.25452043243174055, "23I": 1.7773270935746053, "4E": 5.171515022963125, "4I": 2.7782867969295246, "5E": 0.2700169182524399, "5I": 4.504790023964204, "6E": 0.0010075094335234085, "6I": 3.982220692057365, "total": 18.739684489606528}, "VOT": {"23E": 0.20778018259364797, "23I": 1.539018367337469, "4E": 4.624423586150746, "4I": 2.51714197450712, "5E": 0.19044803054530834, "5I": 3.974535206834476, "6E": 0.0006152427870370092, "6I": 3.4866795811570515, "total": 16.540642171912857}, "MSTd": {"23E": 0.20460373808964458, "23I": 1.6721127603826387, "4E": 5.608387757418222, "4I": 2.7472393559309647, "5E": 0.12288440831446411, "5I": 4.392676766032172, "6E": 5.687885120861687e-05, "6I": 3.819097564774913, "total": 18.56705922979423}, "PIP": {"23E": 0.19436299816931576, "23I": 1.734979301442857, "4E": 5.843360132280466, "4I": 2.8597848381887983, "5E": 0.10789472565006818, "5I": 4.580210369314013, "6E": 4.0773918818119615e-05, "6I": 3.9817837204542723, "total": 19.302416859418607}, "PO": {"23E": 0.19416986580356685, "23I": 1.6809963358630566, "4E": 5.548466772591604, "4I": 2.729064512714146, "5E": 0.11206417816180271, "5I": 4.4050552291203005, "6E": 4.8074946033039234e-05, "6I": 3.837995091652111, "total": 18.50786006085262}, "DP": {"23E": 0.2081762458323643, "23I": 1.692704069459909, "4E": 5.786293360793137, "4I": 2.7537320907248177, "5E": 0.11370545018248782, "5I": 4.440872331293303, "6E": 3.5683074440287305e-05, "6I": 3.8552400258598505, "total": 18.85075925722031}, "MIP": {"23E": 0.18020491498223445, "23I": 1.6661125585658572, "4E": 5.578848483315535, "4I": 2.7019657216365722, "5E": 0.09451289925719795, "5I": 4.384021790424448, "6E": 2.0951497359334825e-05, "6I": 3.8137479845179025, "total": 18.41943530419711}, "MDP": {"23E": 0.16400538527431327, "23I": 2.610022400179031, "4E": 9.05622410446735, "4I": 4.26447368072029, "5E": 0.04055074793784841, "5I": 7.006866227645815, "6E": 6.155139691456197e-07, "6I": 6.093304386116423, "total": 29.235447547855042}, "VIP": {"23E": 0.19595740885059978, "23I": 1.8828455390272325, "4E": 6.1123449889983155, "4I": 3.032858425387221, "5E": 0.11373506189008126, "5I": 4.93378113540343, "6E": 4.266934530711889e-05, "6I": 4.314061602081305, "total": 20.585626830983493}, "LIP": {"23E": 0.19037231034261456, "23I": 1.7006489597294447, "4E": 5.635795789124374, "4I": 2.755248309251503, "5E": 0.10666526302718854, "5I": 4.463440184058697, "6E": 3.7105363136893526e-05, "6I": 3.883751884134872, "total": 18.735959805031833}, "PITv": {"23E": 0.20652380305233686, "23I": 1.5883517674640806, "4E": 4.5514010305086465, "4I": 2.4854765397851737, "5E": 0.18452755656097414, "5I": 4.040720802887327, "6E": 0.0004973527123640676, "6I": 3.567548929304895, "total": 16.625047782275796}, "PITd": {"23E": 0.20986350078757285, "23I": 1.6171174094378546, "4E": 4.68573364188682, "4I": 2.5471492410426957, "5E": 0.18645600035062418, "5I": 4.125710259975157, "6E": 0.000480280292516026, "6I": 3.6387061660625704, "total": 17.01121649983581}, "MSTl": {"23E": 0.18395262878813373, "23I": 1.5681891183064718, "4E": 5.105836027531249, "4I": 2.54072232155177, "5E": 0.11013625659190841, "5I": 4.101024474465739, "6E": 6.0671988291188045e-05, "6I": 3.5756385270272806, "total": 17.185560026250847}, "CITv": {"23E": 0.1752022254704004, "23I": 1.68694443732851, "4E": 5.993903387957711, "4I": 2.8237627969822974, "5E": 0.06939833702496025, "5I": 4.512608635508037, "6E": 7.917450065250582e-06, "6I": 3.899736732507507, "total": 19.16156447022949}, "CITd": {"23E": 0.1869866959726954, "23I": 1.5816266858067942, "4E": 6.040236443420234, "4I": 2.837472682369477, "5E": 0.08246855475667249, "5I": 4.333000902593756, "6E": 1.221407343571918e-05, "6I": 3.7064165469063384, "total": 18.768220725899404}, "FEF": {"23E": 0.1776653912661036, "23I": 1.8012068254400873, "4E": 6.0035892976906045, "4I": 2.9217694740080824, "5E": 0.08210442747496635, "5I": 4.744025228528401, "6E": 1.8421263348030603e-05, "6I": 4.131994965313652, "total": 19.862374030985247}, "TF": {"23E": 0.16916148067842307, "23I": 1.8425570598859722, "4E": 6.1945493322311656, "4I": 3.010956527795049, "5E": 0.07152801762627321, "5I": 4.888002761694071, "6E": 1.0780594151248371e-05, "6I": 4.254351938719336, "total": 20.43111789922444}, "AITv": {"23E": 0.16837203888129182, "23I": 1.6590493482504944, "4E": 5.784086220769118, "4I": 2.7468195494105374, "5E": 0.06751762534867094, "5I": 4.419823005022949, "6E": 8.659879059128942e-06, "6I": 3.827863523830892, "total": 18.673539971393012}, "FST": {"23E": 0.16126321581666483, "23I": 1.7136286228977984, "4E": 6.492651408836753, "4I": 2.9126441681840016, "5E": 0.04177828575125928, "5I": 4.649799818941395, "6E": 9.452326838752213e-07, "6I": 3.9910356718818187, "total": 19.962802137542376}, "7a": {"23E": 0.19193685056725363, "23I": 1.7999654389686195, "4E": 6.7607087757495785, "4I": 3.0131906337920538, "5E": 0.057441376835156134, "5I": 4.834583827377312, "6E": 2.1440354068644734e-06, "6I": 4.153367446886488, "total": 20.811196494211867}, "STPp": {"23E": 0.1642847541237354, "23I": 1.8137482504051685, "4E": 6.525552482689886, "4I": 3.0432441658184515, "5E": 0.05347637005909024, "5I": 4.88337867274663, "6E": 3.0213916730948255e-06, "6I": 4.21589750942387, "total": 20.699585226658506}, "STPa": {"23E": 0.17000627652391387, "23I": 1.6879133891729892, "4E": 6.194143744282547, "4I": 2.8950764610713486, "5E": 0.06114153353531254, "5I": 4.568594308283756, "6E": 4.822579442191189e-06, "6I": 3.9325105185311573, "total": 19.509391053980465}, "46": {"23E": 0.17727702606508758, "23I": 1.8161469841366296, "4E": 6.664490617736792, "4I": 3.0173110654971076, "5E": 0.05456138215223552, "5I": 4.868486678567143, "6E": 2.4960753214015994e-06, "6I": 4.194386122832469, "total": 20.792662373062786}, "AITd": {"23E": 0.17431798881900132, "23I": 1.6657877334591429, "4E": 5.799367253325309, "4I": 2.7313525768475944, "5E": 0.06973473674103582, "5I": 4.41877571680633, "6E": 8.591569443641129e-06, "6I": 3.828390379212058, "total": 18.687734976779915}, "TH": {"23E": 0.009106719614873962, "23I": 2.512548938304237, "5E": 0.00023194553408297137, "5I": 4.306564999466285, "6E": 1.971518694919926e-07, "6I": 4.439661743839355, "4E": 0.0, "4I": 0.0, "total": 11.268114543910702}}
\ No newline at end of file
diff --git a/tests/test_meanfield.py b/tests/test_meanfield.py
new file mode 100644
index 0000000000000000000000000000000000000000..3c670469780556a465a465a1409bcbbb33b05943
--- /dev/null
+++ b/tests/test_meanfield.py
@@ -0,0 +1,13 @@
+from multiarea_model import MultiAreaModel
+
+
+def test_meanfield():
+    """
+    Test meanfield calculation of the
+    stationary network state.
+    """
+
+    network_params = {}
+    theory_params = {}
+    M0 = MultiAreaModel(network_params, theory=True, theory_spec=theory_params)
+    p, r0 = M0.theory.integrate_siegert()
diff --git a/tests/test_nest_network_connectivity.py b/tests/test_nest_network_connectivity.py
new file mode 100644
index 0000000000000000000000000000000000000000..613afa8f0a794bc84c4d4a160eb9db5371fdb4b1
--- /dev/null
+++ b/tests/test_nest_network_connectivity.py
@@ -0,0 +1,58 @@
+from multiarea_model import MultiAreaModel
+import nest
+import numpy as np
+
+
+def test_nest_network_connectivity():
+    """
+    Test if nest creates the correct number of neurons
+    synapses using the Simulation class for a downscaled
+    network.
+    """
+    network_params = {'N_scaling': 0.001,
+                      'K_scaling': 0.001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    M = MultiAreaModel(network_params, simulation=True)
+    M.simulation.simulate()
+
+    """
+    Test if the correct number of neurons has been created.
+    """
+    print("Testing neuron numbers")
+    for area_name in M.area_list:
+        area = M.simulation.areas[M.simulation.areas.index(area_name)]
+        for pop in M.structure[area.name]:
+            created_nodes = area.gids[pop][1] - area.gids[pop][0] + 1
+            assert(created_nodes == int(M.N[area.name][pop]))
+
+    """
+    Test if the correct number of synapses has been created.
+    """
+    print("Testing synapse numbers")
+    for target_area_name in M.area_list:
+        target_area = M.simulation.areas[M.simulation.areas.index(target_area_name)]
+        for source_area_name in M.area_list:
+            source_area = M.simulation.areas[M.simulation.areas.index(source_area_name)]
+            for target_pop in M.structure[target_area.name]:
+                target_gids = list(range(target_area.gids[target_pop][0],
+                                         target_area.gids[target_pop][1] + 1))
+                for source_pop in M.structure[source_area.name]:
+                    source_gids = list(range(source_area.gids[source_pop][0],
+                                             source_area.gids[source_pop][1] + 1))
+                    created_syn = nest.GetConnections(source=source_gids,
+                                                      target=target_gids)
+                    syn = M.synapses[target_area.name][target_pop][source_area.name][source_pop]
+                    assert(len(created_syn) == int(syn))
+
+    """
+    Test if the correct external input has been created.
+    """
+    print("Testing external input")
+    for area in M.simulation.areas:
+        poisson_rates = nest.GetStatus(area.poisson_generators, 'rate')
+
+        K_ext = []
+        for pop in M.structure[area.name]:
+            K_ext.append(M.K[area.name][pop]['external']['external'])
+        target_rates = np.array(K_ext) * M.simulation.params['input_params']['rate_ext']
+        assert(np.allclose(poisson_rates, target_rates))
diff --git a/tests/test_network_initialization.py b/tests/test_network_initialization.py
new file mode 100644
index 0000000000000000000000000000000000000000..70d3a4553b02ad1872b6c821f4d0649d949f6e34
--- /dev/null
+++ b/tests/test_network_initialization.py
@@ -0,0 +1,25 @@
+from multiarea_model import MultiAreaModel
+
+
+def test_network_initialization():
+    """
+    Tests two different ways to initilize a network:
+    - From a dictionary of custom parameters
+    - From a label string
+    Tests whether the two instances yield
+    identical networks.
+    """
+    conn_params = {'replace_non_simulated_areas': 'het_poisson_stat',
+                   'g': -11.,
+                   'K_stable': '../K_stable.npy',
+                   'fac_nu_ext_TH': 1.2,
+                   'fac_nu_ext_5E': 1.125,
+                   'fac_nu_ext_6E': 1.41666667,
+                   'av_indegree_V1': 3950.}
+    network_params = {'N_scaling': 1.,
+                      'K_scaling': 1.,
+                      'connection_params': conn_params}
+
+    M = MultiAreaModel(network_params)
+    M2 = MultiAreaModel(M.label)
+    assert(M == M2)
diff --git a/tests/test_network_params.py b/tests/test_network_params.py
new file mode 100644
index 0000000000000000000000000000000000000000..809af4acd4844b566ab1960afd1767d28d1db6ac
--- /dev/null
+++ b/tests/test_network_params.py
@@ -0,0 +1,94 @@
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import dict_to_matrix, create_mask, dict_to_vector
+import numpy as np
+from multiarea_model.default_params import av_indegree_Cragg, av_indegree_OKusky
+
+
+def create_default_network():
+    """
+    Return an instance of the default network.
+    """
+    network_params = {}
+    M0 = MultiAreaModel(network_params)
+    return M0
+
+
+def test_average_indegree():
+    """
+    Test different average indegrees.
+    """
+    for av_indegree in [av_indegree_Cragg,
+                        np.mean([av_indegree_Cragg, av_indegree_OKusky]),
+                        av_indegree_OKusky]:
+        conn_params = {'av_indegree_V1': av_indegree}
+        network_params = {'connection_params': conn_params}
+        M = MultiAreaModel(network_params)
+
+        area = 'V1'
+        mask = create_mask(M.structure, target_areas=[area])
+        x = np.sum(M.syn_matrix[mask].reshape((8, 255)))
+        K_average = x / M.N[area]['total']
+        print(K_average)
+        assert(np.allclose(K_average, conn_params['av_indegree_V1']))
+
+
+def test_external_indegrees():
+    """
+    Test settings for external indegrees.
+    """
+    M0 = create_default_network()
+    K0 = M0.K_matrix
+    conn_params = {'fac_nu_ext_5E': 2.,
+                   'fac_nu_ext_6E': 2.}
+    network_params = {'connection_params': conn_params}
+    M = MultiAreaModel(network_params)
+
+    mask = create_mask(M.structure, target_pops=['5E'], source_pops=[])
+    assert(np.allclose(M.K_matrix[mask], conn_params['fac_nu_ext_5E'] * K0[mask]))
+    mask = create_mask(M.structure, target_pops=['6E'], source_pops=[])
+    assert(np.allclose(M.K_matrix[mask], conn_params['fac_nu_ext_6E'] * K0[mask]))
+
+    conn_params = {'fac_nu_ext_TH': 2.}
+    network_params.update({'connection_params': conn_params})
+    M = MultiAreaModel(network_params)
+
+    mask = create_mask(M.structure,
+                       target_areas=['TH'],
+                       target_pops=['23E', '5E'],
+                       source_pops=[])
+
+    assert(np.allclose(M.K_matrix[mask], conn_params['fac_nu_ext_TH'] * K0[mask]))
+
+
+def test_syn_weights():
+    """
+    Test different options for synaptic weights.
+    """
+    M0 = create_default_network()
+    W0 = M0.W_matrix
+
+    conn_params = {'PSP_e': 0.3,
+                   'PSP_e_23_4': 0.6}
+    network_params = {'connection_params': conn_params}
+    M = MultiAreaModel(network_params)
+    mask = create_mask(M.structure,
+                       source_pops=['23E', '4E', '5E', '6E'],
+                       external=False)
+    assert(np.allclose(M.W_matrix[mask], conn_params['PSP_e'] / 0.15 * W0[mask]))
+
+    conn_params = {'cc_weights_factor': 2.,
+                   'cc_weights_I_factor': 2.}
+    network_params.update({'connection_params': conn_params})
+    M = MultiAreaModel(network_params)
+    mask = create_mask(M.structure,
+                       source_pops=['23E', '5E', '6E'],
+                       target_pops=['23E', '4E', '5E', '6E'],
+                       cortico_cortical=True)
+    assert(np.allclose(M.W_matrix[mask], conn_params['cc_weights_factor'] * W0[mask]))
+
+    mask = create_mask(M.structure,
+                       source_pops=['23E', '5E', '6E'],
+                       target_pops=['23I', '4I', '5I', '6I'],
+                       cortico_cortical=True)
+    assert(np.allclose(M.W_matrix[mask], conn_params['cc_weights_factor'] *
+                       conn_params['cc_weights_I_factor'] * W0[mask]))
diff --git a/tests/test_network_scaling.py b/tests/test_network_scaling.py
new file mode 100644
index 0000000000000000000000000000000000000000..ac647c458f84f1d504b822ce53076493e6974a7b
--- /dev/null
+++ b/tests/test_network_scaling.py
@@ -0,0 +1,61 @@
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import vector_to_dict
+import numpy as np
+import json
+
+
+def test_network_scaling():
+    """
+    Test the downscaling option of the network.
+
+    - Test whether indegrees and neuron number are correctly scaled down.
+    - Test whether the resulting mean and variance of the input currents
+      as well as the resulting rates are identical, based on mean-field theory.
+    """
+
+    network_params = {}
+    M0 = MultiAreaModel(network_params, theory=True)
+    K0 = M0.K_matrix
+    W0 = M0.W_matrix
+    N0 = M0.N_vec
+    syn0 = M0.syn_matrix
+    p, r0 = M0.theory.integrate_siegert()
+
+    d = vector_to_dict(r0[:, -1],
+                       M0.area_list,
+                       M0.structure)
+
+    with open('fullscale_rates.json', 'w') as f:
+        json.dump(d, f)
+
+    network_params = {'N_scaling': .1,
+                      'K_scaling': .1,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    theory_params = {'initial_rates': r0[:, -1]}
+    M = MultiAreaModel(network_params, theory=True, theory_spec=theory_params)
+
+    K = M.K_matrix
+    W = M.W_matrix
+    N = M.N_vec
+    syn = M.syn_matrix
+    p, r = M.theory.integrate_siegert()
+
+    assert(np.allclose(K, network_params['K_scaling'] * K0))
+    assert(np.allclose(N, network_params['N_scaling'] * N0))
+    assert(np.allclose(syn, network_params['K_scaling'] * network_params['N_scaling'] * syn0))
+    assert(np.allclose(W, W0 / np.sqrt(network_params['K_scaling'])))
+
+    r0_extend = np.append(r0[:, -1], M0.params['input_params']['rate_ext'])
+    tau_m = M.params['neuron_params']['single_neuron_dict']['tau_m']
+    C_m = M.params['neuron_params']['single_neuron_dict']['C_m']
+
+    mu0 = (1e-3 * tau_m * np.dot(M0.K_matrix * M0.J_matrix, r0_extend)
+           + tau_m / C_m * M0.add_DC_drive)
+    mu = 1e-3 * tau_m * np.dot(M.K_matrix * M.J_matrix, r0_extend) + tau_m / C_m * M.add_DC_drive
+
+    sigma0 = np.sqrt(1e-3 * tau_m * np.dot(M0.K_matrix * M0.J_matrix**2, r0_extend))
+    sigma = np.sqrt(1e-3 * tau_m * np.dot(M.K_matrix * M.J_matrix**2, r0_extend))
+
+    assert(np.allclose(mu, mu0))
+    assert(np.allclose(sigma, sigma0))
+    assert(np.allclose(r[:, -1], r0[:, -1]))
diff --git a/tests/test_parameter_check.py b/tests/test_parameter_check.py
new file mode 100644
index 0000000000000000000000000000000000000000..b4f1f51d1385695e91f2ff75f640371370ebbf64
--- /dev/null
+++ b/tests/test_parameter_check.py
@@ -0,0 +1,32 @@
+import pytest
+from multiarea_model import MultiAreaModel
+from multiarea_model.default_params import network_params
+
+"""
+Test if the check for unused keys in 
+custom parameters works.
+"""
+
+
+def test_network_params():
+    net_params = {'x': 3}
+    with pytest.raises(KeyError):
+        M = MultiAreaModel(net_params)
+
+
+def test_conn_params():
+    net_params = {'connection_params': {'x': 3}}
+    with pytest.raises(KeyError):
+        M = MultiAreaModel(net_params)
+
+
+def test_sim_params():
+    sim_params = {'x': 3}
+    with pytest.raises(KeyError):
+        M = MultiAreaModel({}, simulation=True, sim_spec=sim_params)
+
+
+def test_theory_params():
+    theory_params = {'x': 3}
+    with pytest.raises(KeyError):
+        M = MultiAreaModel({}, theory=True, theory_spec=theory_params)
diff --git a/tests/test_replace_cc.py b/tests/test_replace_cc.py
new file mode 100644
index 0000000000000000000000000000000000000000..43be22ae434b480b70c96697b2eaab57eb141ae9
--- /dev/null
+++ b/tests/test_replace_cc.py
@@ -0,0 +1,89 @@
+import h5py_wrapper.wrapper as h5w
+import json
+import numpy as np
+import os
+from multiarea_model import MultiAreaModel
+from multiarea_model.multiarea_helpers import vector_to_dict
+from multiarea_model.multiarea_helpers import create_mask
+from multiarea_model.default_params import complete_area_list, population_list
+
+"""
+Test replacing cortico-cortical connections.
+"""
+
+
+def test_het_poisson_stat_mf():
+    network_params = {}
+    theory_params = {}
+    M0 = MultiAreaModel(network_params, theory=True, theory_spec=theory_params)
+    p, r0 = M0.theory.integrate_siegert()
+
+    rates = vector_to_dict(r0[:, -1], M0.area_list, M0.structure)
+    with open('mf_rates.json', 'w') as f:
+        json.dump(rates, f)
+
+    network_params = {'connection_params': {'replace_cc': 'het_poisson_stat',
+                                            'replace_cc_input_file': 'mf_rates.json'}}
+    theory_params = {}
+    M = MultiAreaModel(network_params, theory=True, theory_spec=theory_params)
+    p, r = M.theory.integrate_siegert()
+
+    assert(np.allclose(r0[:, -1], r[:, -1]))
+
+
+def test_hom_poisson_stat_mf():
+    network_params = {'connection_params': {'replace_cc': 'hom_poisson_stat'}}
+    theory_params = {}
+    M = MultiAreaModel(network_params, theory=True, theory_spec=theory_params)
+    p, r = M.theory.integrate_siegert()
+
+    mu, sigma = M.theory.replace_cc_input()
+    # Test for V1
+    mask = create_mask(M.structure,
+                       target_areas=['V1'],
+                       cortico_cortical=True,
+                       external=False)
+    x = np.sum((M.J_matrix[mask].reshape((8, -1)) * M.K_matrix[mask].reshape((8, -1)) *
+                M.params['input_params']['rate_ext'] *
+                M.params['neuron_params']['single_neuron_dict']['tau_m'] * 1e-3), axis=1)
+    assert(np.allclose(x, mu[:8]))
+
+
+def test_het_poisson_stat_sim():
+    base_dir = os.getcwd()
+    fn = os.path.join(base_dir, 'fullscale_rates.json')
+    network_params = {'connection_params': {'replace_cc': 'het_poisson_stat',
+                                            'replace_cc_input_file': fn},
+                      'N_scaling': 0.001,
+                      'K_scaling': 0.0001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    sim_params = {'t_sim': 0.1}
+    M = MultiAreaModel(network_params, simulation=True, sim_spec=sim_params)
+    M.simulation.simulate()
+
+
+def test_hom_poisson_stat_sim():
+    network_params = {'connection_params': {'replace_cc': 'hom_poisson_stat'},
+                      'N_scaling': 0.001,
+                      'K_scaling': 0.0001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    sim_params = {'t_sim': 0.1}
+    M = MultiAreaModel(network_params, simulation=True, sim_spec=sim_params)
+    M.simulation.simulate()
+
+
+def test_het_current_non_stat_sim():
+    curr = np.ones(10) * 10.
+    het_current = {area: {pop: curr for pop in population_list} for area in complete_area_list}
+    h5w.save('het_current.h5', het_current, write_mode='w')
+
+    base_dir = os.getcwd()
+    fn = os.path.join(base_dir, 'het_current.h5')
+    network_params = {'connection_params': {'replace_cc': 'het_current_nonstat',
+                                            'replace_cc_input_file': fn},
+                      'N_scaling': 0.001,
+                      'K_scaling': 0.0001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    sim_params = {'t_sim': 10.}
+    M = MultiAreaModel(network_params, simulation=True, sim_spec=sim_params)
+    M.simulation.simulate()
diff --git a/tests/test_simulate_V1.py b/tests/test_simulate_V1.py
new file mode 100644
index 0000000000000000000000000000000000000000..7754d6b6ad91a333e2d1ab5b670f9258bf2a868b
--- /dev/null
+++ b/tests/test_simulate_V1.py
@@ -0,0 +1,54 @@
+import h5py_wrapper.wrapper as h5w
+import numpy as np
+import os
+from multiarea_model import MultiAreaModel
+from multiarea_model.default_params import complete_area_list, population_list
+
+"""
+Test simulating only V1
+"""
+
+
+def test_het_poisson_stat_sim():
+    base_dir = os.getcwd()
+    fn = os.path.join(base_dir, 'fullscale_rates.json')
+    network_params = {'connection_params': {'replace_non_simulated_areas': 'het_poisson_stat',
+                                            'replace_cc_input_file': fn},
+                      'N_scaling': 0.001,
+                      'K_scaling': 0.0001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    sim_params = {'t_sim': 0.1,
+                  'areas_simulated': ['V1']}
+    M = MultiAreaModel(network_params, simulation=True, sim_spec=sim_params)
+    M.simulation.simulate()
+
+
+def test_hom_poisson_stat_sim():
+    network_params = {'connection_params': {'replace_non_simulated_areas': 'hom_poisson_stat'},
+                      'N_scaling': 0.001,
+                      'K_scaling': 0.0001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    sim_params = {'t_sim': 0.1,
+                  'areas_simulated': ['V1']}
+
+    M = MultiAreaModel(network_params, simulation=True, sim_spec=sim_params)
+    M.simulation.simulate()
+
+
+def test_het_current_non_stat_sim():
+    curr = np.ones(10) * 10.
+    het_current = {area: {pop: curr for pop in population_list} for area in complete_area_list}
+    h5w.save('het_current.h5', het_current, write_mode='w')
+
+    base_dir = os.getcwd()
+    fn = os.path.join(base_dir, 'het_current.h5')
+    network_params = {'connection_params': {'replace_non_simulated_areas': 'het_current_nonstat',
+                                            'replace_cc_input_file': fn},
+                      'N_scaling': 0.001,
+                      'K_scaling': 0.0001,
+                      'fullscale_rates': 'fullscale_rates.json'}
+    sim_params = {'t_sim': 10.,
+                  'areas_simulated': ['V1']}
+
+    M = MultiAreaModel(network_params, simulation=True, sim_spec=sim_params)
+    M.simulation.simulate()