Neural Information Processing

Monte Carlo Maximum Entropy Test

On this page you can find a MATLAB and GNU Octave implementation of 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.


If you use this software for publication, please cite:

Onken, A. and Dragoi, V. and Obermayer, K. (2012). A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. PLoS Computational Biology