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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jonathan W. Pillow & Jonathon Shlens & Liam Paninski & Alexander Sher & Alan M. Litke & E. J. Chichilnisky & Eero P. Simoncelli, 2008. "Spatio-temporal correlations and visual signalling in a complete neuronal population," Nature, Nature, vol. 454(7207), pages 995-999, August.
    • Handle: RePEc:nat:nature:v:454:y:2008:i:7207:d:10.1038_nature07140
    DOI: 10.1038/nature07140
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