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Research ArticleNew Research, Sensory and Motor Systems

Closed-Loop Estimation of Retinal Network Sensitivity by Local Empirical Linearization

Ulisse Ferrari, Christophe Gardella, Olivier Marre and Thierry Mora
eNeuro 16 January 2018, 4 (6) ENEURO.0166-17.2017; https://doi.org/10.1523/ENEURO.0166-17.2017
Ulisse Ferrari
1Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012 Paris, France
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Christophe Gardella
1Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012 Paris, France
2Laboratoire de physique statistique, CNRS, Sorbonne Université, Université Paris-Diderot and École normale supérieure (PSL), 24, rue Lhomond, 75005 Paris, France
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Olivier Marre
1Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012 Paris, France
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Thierry Mora
2Laboratoire de physique statistique, CNRS, Sorbonne Université, Université Paris-Diderot and École normale supérieure (PSL), 24, rue Lhomond, 75005 Paris, France
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0166-17.2017
PubMed 
29379871
Published By 
Society for Neuroscience
History 
  • Received May 12, 2017
  • Revision received October 12, 2017
  • Accepted October 16, 2017
  • Published online January 16, 2018.
Copyright & Usage 
Copyright © 2018 Ferrari et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Ulisse Ferrari1,*,
  2. Christophe Gardella1,2,*,
  3. Olivier Marre1,† and
  4. Thierry Mora2,†
  1. 1Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012 Paris, France
  2. 2Laboratoire de physique statistique, CNRS, Sorbonne Université, Université Paris-Diderot and École normale supérieure (PSL), 24, rue Lhomond, 75005 Paris, France
  1. Correspondence should be addressed to either of the following: Olivier Marre at the above address, E-mail: olivier.marre{at}gmail.com; or Thierry Mora at the above address, E-mail: tmora{at}lps.ens.fr.
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Author contributions

  1. Author contributions: O.M. and T.M. designed research; U.F. and C.G. performed research; U.F., C.G., O.M., and T.M. analyzed data; U.F., C.G., O.M., and T.M. wrote the paper.

  2. ↵* U.F. and C.G. contributed equally to this work.

  3. ↵† O.M. and T.M. contributed equally to this work.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by ANR TRAJECTORY, ANR OPTIMA, ANR IRREVERSIBLE, the French State program Investissements d'Avenir managed by the Agence Nationale de la Recherche (LIFESENSES: ANR-10-LABX-65), European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 720270, and the National Institutes of Health Grant U01NS090501.

Funding

  • HHS | National Institutes of Health (NIH)

    U01NS090501
  • EC | European Research Council (ERC)

    720270
  • Agence Nationale de la Recherche (ANR)

    OPTIMA; TRAJECTORY; ANR-10-LABX-65; ANR-17-ERC2-0025-01

Other Version

  • You are viewing the most recent version of this article.
  • previous version (January 16, 2018).

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AbstractFullPdf
Jan 201857012760
Feb 201835211338
Mar 2018584013
Apr 2018245922
May 201830455
Jun 2018213510
Jul 2018222713
Aug 2018172822
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Total 201811351299228
Jan 201942596
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Apr 20195497
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May 202514311
Jun 202585110
Jul 202586518
Aug 202574733
Sep 20251210029
Oct 20251011118
Nov 202597020
Dec 202556156
Total 202569742243
Jan 2026128232
Total 2026128232
Total140063801186
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eneuro: 4 (6)
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November/December 2017
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Closed-Loop Estimation of Retinal Network Sensitivity by Local Empirical Linearization
Ulisse Ferrari, Christophe Gardella, Olivier Marre, Thierry Mora
eNeuro 16 January 2018, 4 (6) ENEURO.0166-17.2017; DOI: 10.1523/ENEURO.0166-17.2017

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Closed-Loop Estimation of Retinal Network Sensitivity by Local Empirical Linearization
Ulisse Ferrari, Christophe Gardella, Olivier Marre, Thierry Mora
eNeuro 16 January 2018, 4 (6) ENEURO.0166-17.2017; DOI: 10.1523/ENEURO.0166-17.2017
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Keywords

  • Efficient coding theory
  • sensory system
  • retina
  • Closed-loop experiments
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