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.
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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 |
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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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