An analytically tractable model of neural population activity in the presence of common input explains higher-order correlations and entropy

Details An analytically tractable model of neural population activity in the presence of common input explains higher-order correlations and entropy An analytically tractable model of neural population activity in the presence of common input explains higher-order correlations and entropy

2010-09-15

arxiv.org/abs/1009.2855v2

Biology

Quantitative Biology

Neurons and Cognition

Scientific paper

Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we use a population of threshold neurons receiving correlated inputs to model neural population recordings. We show analytically that small changes in second-order correlations can lead to large changes in higher correlations, and that these higher-order correlations have a strong impact on the entropy, sparsity and statistical heat capacity of the population. Remarkably, our findings for this simple model may explain a couple of surprising effects recently observed in neural population recordings.

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