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Update VERSION_LOG.md

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3 merge requests!37Created VERSION_LOG.md to record the details of changes in every new release,!38created VERSION_LOG.md for recording changes made for every release,!39Created VERSION_LOG.md to record all changes made in every release version
# This is the log file recording the changes made for every release of versions of mulit-area model.
## MAM 1.1.0
### Updates
* imporved the notebook structure of multi-area-model.ipynb
* added
### Bug fixes
* corrected the separator from "" to "/" in ./multiarea_model/data_multiarea/SLN_logdensities.R to fix the file path of ./multiarea_model/data_multiarea/bbAlt.R
## MAM 1.0.0
MAM 1.0.0 is the first release of the multi-area model, which has been documented and in line with the relevant publications.
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 Multi-scale account of the network structure of macaque visual cortex Brain Structure and Function (2018), 223: 1409 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): e1005179. 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. PLOS Computational Biology, 14(9): e1006359. https://doi.org/10.1371/journal.pcbi.1006359
The code in this repository is self-contained and allows one to reproduce the results of all three papers.
The code was improved since the above publications to function with more modern versions of NEST (3+) as well as other minor updates.
### Bug fixes
* corrected the url of NEST logo in README.md
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