Metadata-Version: 2.0
Name: mcmaxenttest
Version: 1.0
Summary: Statistical test to detect higher-order correlations between count variables.
Home-page: https://github.com/asnelt/mcmaxenttest/
Author: Arno Onken
Author-email: asnelt@asnelt.org
License: GPLv3+
Keywords: monte carlo poisson test maximum entropy correlation
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Dist: scipy

This package implements a statistical test that can assess higher-order correlations of neural population spike counts in terms of an information theoretic analysis. The test yields reliable results even when the number of experimental samples is small.


