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Research ArticleNew Research, Sensory and Motor Systems

A Tractable Method for Describing Complex Couplings between Neurons and Population Rate

Christophe Gardella, Olivier Marre and Thierry Mora
eNeuro 18 July 2016, 3 (4) ENEURO.0160-15.2016; DOI: https://doi.org/10.1523/ENEURO.0160-15.2016
Christophe Gardella
1Laboratoire de Physique Statistique, Centre National de la Recherche Scientifique, École Normale Supérieure, Université Pierre et Marie Curie, 75005 Paris, France
2Institut de la Vision, Institut National de la Santé et de la Recherche Médicale, Université Pierre et Marie Curie, 75012 Paris, France
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Olivier Marre
2Institut de la Vision, Institut National de la Santé et de la Recherche Médicale, Université Pierre et Marie Curie, 75012 Paris, France
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Thierry Mora
1Laboratoire de Physique Statistique, Centre National de la Recherche Scientifique, École Normale Supérieure, Université Pierre et Marie Curie, 75005 Paris, France
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0160-15.2016
PubMed 
27570827
Published By 
Society for Neuroscience
History 
  • Received December 18, 2015
  • Revision received June 24, 2016
  • Accepted June 27, 2016
  • Published online July 18, 2016.
Copyright & Usage 
Copyright © 2016 Gardella et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Christophe Gardella1,2,
  2. Olivier Marre2,* and
  3. Thierry Mora1,*
  1. 1Laboratoire de Physique Statistique, Centre National de la Recherche Scientifique, École Normale Supérieure, Université Pierre et Marie Curie, 75005 Paris, France
  2. 2Institut de la Vision, Institut National de la Santé et de la Recherche Médicale, Université Pierre et Marie Curie, 75012 Paris, France
  1. Correspondence should be addressed to Thierry Mora, École Normale Supérieure, 24, Rue Lhomond, 75005 Paris, France. E-mail: tmora{at}lps.ens.fr.
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Author contributions

  1. Author contributions: C.G., O.M., and T.M. designed research; C.G., O.M., and T.M. performed research; C.G., O.M., and T.M. contributed unpublished reagents/analytic tools; C.G., O.M., and T.M. analyzed data; C.G., O.M., and T.M. wrote the paper.

  2. ↵* OM and TM contributed equally to this work.

View Abstract

Disclosures

  • The author declares no competing financial interests.

  • This work was supported by ANR OPTIMA and TRAJECTORY, the French State program Investissements d'Avenir managed by the Agence Nationale de la Recherche [LIFESENSES: ANR-10-LABX-65], by a EC grant from the Human Brain Project (CLAP) and NIH grant U01NS090501 to OM.

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Apr 201718258
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Jun 2017193314
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A Tractable Method for Describing Complex Couplings between Neurons and Population Rate
Christophe Gardella, Olivier Marre, Thierry Mora
eNeuro 18 July 2016, 3 (4) ENEURO.0160-15.2016; DOI: 10.1523/ENEURO.0160-15.2016

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A Tractable Method for Describing Complex Couplings between Neurons and Population Rate
Christophe Gardella, Olivier Marre, Thierry Mora
eNeuro 18 July 2016, 3 (4) ENEURO.0160-15.2016; DOI: 10.1523/ENEURO.0160-15.2016
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Keywords

  • maximum entropy models
  • population couplings
  • retinal ganglion cells
  • tuning curve

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