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  The effect of pairwise neural correlations on global population statistics

Macke, J., Opper, M., & Bethge, M.(2009). The effect of pairwise neural correlations on global population statistics (183). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C5A1-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-85BF-1
Genre: Report

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MPIK-TR-183.pdf (Publisher version), 394KB
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 Creators:
Macke, JH1, 2, Author              
Opper, M, Author
Bethge, M1, 2, Author              
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Simultaneously recorded neurons often exhibit correlations in their spiking activity. These correlations shape the statistical structure of the population activity, and can lead to substantial redundancy across neurons. Here, we study the effect of pairwise correlations on the population spike count statistics and redundancy in populations of threshold-neurons in which response-correlations arise from correlated Gaussian inputs. We investigate the scaling of the redundancy as the population size is increased, and compare the asymptotic redundancy in our models to the corresponding maximum- and minimum entropy models.

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 Dates: 2009-03
 Publication Status: Published in print
 Pages: 21
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 183
BibTex Citekey: 5865
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Title: Technical Report Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 183 Sequence Number: - Start / End Page: - Identifier: -