INM-6/eigenangles: Code and data repository accompanying: Gutzen, R., Grün, S., Denker, M., 2023. Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles. Biosystems 223, 104813. https://doi.org/10.1016/j.biosystems.2022.104813 @ synced/master

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Michael Denker 5b66f1e714 git-annex in denker@inm6183		9 ماه پیش
..
correlation_matrices	daaaeacfe9 Initial commit	2 سال پیش
results	daaaeacfe9 Initial commit	2 سال پیش
scripts	5b66f1e714 git-annex in denker@inm6183	9 ماه پیش
README.md	daaaeacfe9 Initial commit	2 سال پیش
Snakefile	daaaeacfe9 Initial commit	2 سال پیش
config.py	daaaeacfe9 Initial commit	2 سال پیش

Michael Denker 5b66f1e714 git-annex in denker@inm6183

9 ماه پیش

correlation_matrices

daaaeacfe9 Initial commit

2 سال پیش

results

daaaeacfe9 Initial commit

2 سال پیش

scripts

5b66f1e714 git-annex in denker@inm6183

9 ماه پیش

README.md

daaaeacfe9 Initial commit

2 سال پیش

Snakefile

daaaeacfe9 Initial commit

2 سال پیش

config.py

daaaeacfe9 Initial commit

2 سال پیش

Application of the eigenangle test to stochastic calibration scenarios

This folder contains the workflow to create stochastic spiking activity using Poisson and Compound Poisson processes, calculate their correlation matrices, compare them with the eigenangle- and the Kolmogorov-Smirnov test. The parameters for the stochastic processes are specified via the config.py file. The following wildcards in the file paths can update the parameters of the config file as in

N{N}_t{t_start}-{t_stop}ms_bin{binsize}ms_rate{rate}Hz_hub{assembly_sizes}_corr{correlations}_bkgr{bkgr_correlation}_{corr_method}

. The main functionality of the workflow is:

snakemake `results/stochastic_activity_comparison.csv' creates the correlation matrices for all process with the parameter ranges specified in the config files, performs the comparisons between initializations (i.e. random seeds), and aggregates the results in a dataframe.