GitHub - ModelDBRepository/151692: Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)

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Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)

modeldb.science/151692

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Gaussian_PDFs.m		Gaussian_PDFs.m
Gaussian_PDFs_pruned.m		Gaussian_PDFs_pruned.m
Gaussian_Statistics.m		Gaussian_Statistics.m
Readme.html		Readme.html
Uniform_PDFs.m		Uniform_PDFs.m
Uniform_PDFs_pruned.m		Uniform_PDFs_pruned.m
Uniform_Statistics.m		Uniform_Statistics.m
correl.m		correl.m
screenshot.png		screenshot.png
sym_measure.m		sym_measure.m

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<html><pre>
This is the readme for the model associated with the paper

Esposito U, Giugliano M, van Rossum M, Vasilaki E (2014) "Measuring
symmetry, asymmetry and randomness in neural network connectivity"
PLoS One 9:e100805

The matlab code reproduces Figures 1, 2, 3A and 3C from the paper.  To
run it you need to use Matlab with Symbolic Math Toolbox and
Statistics Toolbox.

Content and usage:
1. Unzip Espositoetal2013_MatlabCode into an empty directory. The code
is organized in 8 .m files.
2. To obtain the graphs of Fig. 1 run Uniform_PDFs.m (for
Fig. 1A,B,C,D) and Uniform_PDFs_pruned.m (for Fig. 1E,F,G,H).
For example the figure generated for 1D looks like:
<img src="./screenshot.png" alt="screenshot" width="550">
3. To obtain the graphs of Fig. 2 run Gaussian_PDFs.m (for
Fig. 2A,B,C,D) and Gaussian_PDFs_pruned.m (for Fig. 2E,F,G,H).
4. To obtain the graphs of Fig. 3A,C run Uniform_Statistics.m (for
Fig. 3A) and Gaussian_Statistics.m (for Fig. 3C).
5. Uniform_Statistics.m calls sym_measure.m.
6. Gaussian_Statistics.m calls sym_measure.m and correl.m.
</pre></html>