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Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity

Macke, JH; Opper, M; Bethge, M; (2011) Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity. PHYS REV LETT , 106 (20) , Article 208102. 10.1103/PhysRevLett.106.208102. Green open access

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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.

Type: Article
Title: Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity
Open access status: An open access version is available from UCL Discovery
DOI: 10.1103/PhysRevLett.106.208102
Publisher version: http://dx.doi.org/10.1103/PhysRevLett.106.208102
Language: English
Additional information: © 2011 American Physical Society
Keywords: CORTEX
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1311500
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