Conservative Significance Testing of Tripartite Statistical Relations in Multivariate Neural Data

This code is for the 2022 pre-print (biorxiv) by Aleksejs Fomins, Yaroslav Sych and Fritjof Helmchen.

Installation Instructions

The code is implemented in Python and uses Jupyter Notebooks. It makes extensive use of our mesoscale analysis library mesostat and its dependencies.

main folder contains Jupyter Notebooks used for main text figure
validation folder contains Jupyter Notebooks used for validation of results (supplementary material)
sketches folder contains Jupyter Notebooks used for generating main text sketches for the publication
src folder contains the libraries implementing the testing and plotting routines