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

Macke, J. H.; Opper, M.; Bethge, M.

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

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

MPS-Authors

There are no MPG-Authors in the publication available

External Resource

http://www.ncbi.nlm.nih.gov/pubmed/21668265
(Any fulltext)

http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.106.208102
(Any fulltext)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0028-64E0-7

Abstract

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.