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学術論文

Common input explains higher-order correlations and entropy in a simple model of neural population activity

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引用

Macke, J. H., Opper, M., & Bethge, M. (2011). Common input explains higher-order correlations and entropy in a simple model of neural population activity. Physical Review Letters, 106(20), 208102.


引用: http://hdl.handle.net/11858/00-001M-0000-0028-64E0-7
要旨
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-order redundancies, and that the resulting interactions have a strong impact on the entropy, sparsity, and statistical heat capacity of the population. Our findings for this simple model may explain some surprising effects recently observed in neural population recordings.