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Neural Information ProcessingMonte Carlo Maximum Entropy Test

Neuronale Informationsverarbeitung

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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.

Download: mcmaxenttest-1.3.zip

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


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