Spatio-temporal correlations and visual signalling in a complete neuronal population

Jonathan W. Pillow (), Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M. Litke, E. J. Chichilnisky and Eero P. Simoncelli
Additional contact information
Jonathan W. Pillow: Gatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London WC1N 3AR, UK
Jonathon Shlens: The Salk Institute, 10010 North Torrey Pines Road, San Diego, California 92037, USA
Liam Paninski: Columbia University, 1255 Amsterdam Avenue, New York, New York 10027, USA
Alexander Sher: Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA
Alan M. Litke: Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA
E. J. Chichilnisky: The Salk Institute, 10010 North Torrey Pines Road, San Diego, California 92037, USA
Eero P. Simoncelli: Howard Hughes Medical Institute, Center for Neural Science, and Courant Institute of Mathematical Sciences, New York University, 4 Washington Place, Room 809, New York, New York 10003, USA

Nature, 2008, vol. 454, issue 7207, 995-999

Abstract: Neural correlation: in it together Correlated activity between sensory neurons governs both the stimulus information conveyed by a neural population and how downstream neurons can extract it. Although previous studies looking at pairs of cells have examined correlations, their functional origin and impact on the neural code are still not understood. Pillow et al. address the question in a complete population of primate retinal ganglion cells. Fitting the physiological data to a model of multi-neuron spike responses, the authors find that a significant fraction of what is usually considered single-cell noise in trial-to-trial response variability can be explained by correlations, and that a significant amount of sensory information can be decoded from the correlation structure.

Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (50)

Downloads: (external link)
https://www.nature.com/articles/nature07140 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:454:y:2008:i:7207:d:10.1038_nature07140

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature07140

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().