Published September 24, 2019
| Version 1.0.0
Software
Open
Code for Okujeni and Egert, eLife (2019) DOI: 10.7554/eLife.47996
Description
This is the Matlab-code used to simulate the model for activity-dependent growth and migration in neuronal networks described in
Okujeni S, Egert U (2019) Self-organization of modular network architecture by activity-dependent neuronal migration and outgrowth. Elife 8:e47966, DOI:10.7554/eLife.47996.
The development of the networks simulated is illustrated in Fig. 2 in this article and supplementary videos to this figure.
The code was tested for Windows 10, ver 1903 and MATLAB ( © Mathworks) Versions 8.3.0.532 (R2014a) and 9.2.0.556344 (R2017a).
The function community_louvain.m included in the files was written by Mika Rubinov, U. Cambridge, as part of the Brain Connectivity Toolbox.
Files
GrowthModel_Okujeni2019.zip
Files
(12.2 kB)
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Additional details
Related works
- Has part
- Software: https://sites.google.com/site/bctnet/Home/functions/community_louvain.m?attredirects=0 (URL)
- Is supplement to
- Journal article: 10.7554/eLife.47996 (DOI)
- Journal article: https://elifesciences.org/articles/47996 (URL)
- References
- Software documentation: https://sites.google.com/site/bctnet/measures/list#TOC-Clustering-and-Community-Structure (URL)