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Network Information and Connected Correlations

Physical Review LettersPublished 2 December 2003Open access
Elad Schneidman, Susanne Still, Michael J. Berry, William Bialek
Citations323
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TL;DR

The information theoretic analog of connected correlation functions is constructed: irreducible N-point correlation is measured by a decrease in entropy for the joint distribution of N variables relative to the maximum entropy allowed by all the observed N-1 variable distributions.

Abstract

Entropy and information provide natural measures of correlation among elements in a network. We construct here the information theoretic analog of connected correlation functions: irreducible N-point correlation is measured by a decrease in entropy for the joint distribution of N variables relative to the maximum entropy allowed by all the observed N-1 variable distributions. We calculate the "connected information" terms for several examples and show that it also enables the decomposition of the information that is carried by a population of elements about an outside source.

Keywords

NeurosciencePhysics and Astronomy