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

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Eigenangles: evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles

Code and data repository accompanying the publication Gutzen et al. (2022) https://doi.org/...

Content

The different applications and testing scenarios of the eigenangle test are separated into the folders balanced_network, stochastic_activity, and polychony_network containing their corresponding workflows (see the respective README.md for details). The top-level folder scripts contains a general code basis used by each of the workflows. The folder paper_figures contains the figures from the publications as generated by either notebooks or scripts in the respective application folders. Figure 1 and 2 are produced by the respective notebook with this folder. The interactive jupyter notebook eigenangle_basics.ipynb presents a step-wise construction and explanation of the eigenangle test and can be executed via the above mybinder badge.