neuro-kl

neuro-kl contains a Python module and Matlab functions to compute an estimate of the entropy and Kullback-Leibler divergence of distribution of simultaneously recorded neural data.

The KL is estimated using a Bayesian method designed to deal with relatively large distributions (2^16 elements), and is described in the supplementary material of the paper

Berkes, P., Orban, G., Lengyel, M., and Fiser, J. (2011).
*Spontaneous cortical activity reveals hallmarks of an optimal
internal model of the environment.*
Science, 331:6013, 83–87.

in the "Dissimilarity of neural activity distributions" section. The supplementary material is freely available at http://www.sciencemag.org/content/331/6013/83/suppl/DC1 .

License

neuro-kl is released under the GPL v3. See LICENSE.txt .

Copyright (c) 2011, Pietro Berkes, Dmitriy Lisitsyn. All rights reserved.