Skip to content
Snippets Groups Projects
Unverified Commit ebd96c0b authored by Didi Hou's avatar Didi Hou Committed by GitHub
Browse files

Update VERSION_LOG.md

parent 1235cc5d
No related branches found
No related tags found
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
## MAM v1.1.0
This release brings a number of improvements and new features, including the down-scaling multi-area model, which enhance the model's reliability, usability, and overall user experience. It also serves as a base version that specifies the dependencies required for our future releases up to and including MAM v2.0.0.
For detailed changes made in this release since our last release MAM v1.0.0, please check our [version log][https://github.com/INM-6/MAM2EBRAINS/edit/pre-cr-pr/VERSION_LOG.md].
### Enhancements
* The structure of the notebook has been revamped for improved clarity and user navigation.
......@@ -23,20 +19,6 @@ For detailed changes made in this release since our last release MAM v1.0.0, ple
## MAM v1.0.0
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
......
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment