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Nonlinear decoding of a complex movie from the mammalian retina

Retina is a paradigmatic system for studying sensory encoding: the transformation of light into spiking activity of ganglion cells. The inverse problem, where stimulus is reconstructed from spikes, has received less attention, especially for complex stimuli that should be reconstructed “pixel-by-pix...

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Autores principales: Botella-Soler, Vicente, Deny, Stéphane, Martius, Georg, Marre, Olivier, Tkačik, Gašper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944913/
https://www.ncbi.nlm.nih.gov/pubmed/29746463
http://dx.doi.org/10.1371/journal.pcbi.1006057
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author Botella-Soler, Vicente
Deny, Stéphane
Martius, Georg
Marre, Olivier
Tkačik, Gašper
author_facet Botella-Soler, Vicente
Deny, Stéphane
Martius, Georg
Marre, Olivier
Tkačik, Gašper
author_sort Botella-Soler, Vicente
collection PubMed
description Retina is a paradigmatic system for studying sensory encoding: the transformation of light into spiking activity of ganglion cells. The inverse problem, where stimulus is reconstructed from spikes, has received less attention, especially for complex stimuli that should be reconstructed “pixel-by-pixel”. We recorded around a hundred neurons from a dense patch in a rat retina and decoded movies of multiple small randomly-moving discs. We constructed nonlinear (kernelized and neural network) decoders that improved significantly over linear results. An important contribution to this was the ability of nonlinear decoders to reliably separate between neural responses driven by locally fluctuating light signals, and responses at locally constant light driven by spontaneous-like activity. This improvement crucially depended on the precise, non-Poisson temporal structure of individual spike trains, which originated in the spike-history dependence of neural responses. We propose a general principle by which downstream circuitry could discriminate between spontaneous and stimulus-driven activity based solely on higher-order statistical structure in the incoming spike trains.
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spelling pubmed-59449132018-05-18 Nonlinear decoding of a complex movie from the mammalian retina Botella-Soler, Vicente Deny, Stéphane Martius, Georg Marre, Olivier Tkačik, Gašper PLoS Comput Biol Research Article Retina is a paradigmatic system for studying sensory encoding: the transformation of light into spiking activity of ganglion cells. The inverse problem, where stimulus is reconstructed from spikes, has received less attention, especially for complex stimuli that should be reconstructed “pixel-by-pixel”. We recorded around a hundred neurons from a dense patch in a rat retina and decoded movies of multiple small randomly-moving discs. We constructed nonlinear (kernelized and neural network) decoders that improved significantly over linear results. An important contribution to this was the ability of nonlinear decoders to reliably separate between neural responses driven by locally fluctuating light signals, and responses at locally constant light driven by spontaneous-like activity. This improvement crucially depended on the precise, non-Poisson temporal structure of individual spike trains, which originated in the spike-history dependence of neural responses. We propose a general principle by which downstream circuitry could discriminate between spontaneous and stimulus-driven activity based solely on higher-order statistical structure in the incoming spike trains. Public Library of Science 2018-05-10 /pmc/articles/PMC5944913/ /pubmed/29746463 http://dx.doi.org/10.1371/journal.pcbi.1006057 Text en © 2018 Botella-Soler et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Botella-Soler, Vicente
Deny, Stéphane
Martius, Georg
Marre, Olivier
Tkačik, Gašper
Nonlinear decoding of a complex movie from the mammalian retina
title Nonlinear decoding of a complex movie from the mammalian retina
title_full Nonlinear decoding of a complex movie from the mammalian retina
title_fullStr Nonlinear decoding of a complex movie from the mammalian retina
title_full_unstemmed Nonlinear decoding of a complex movie from the mammalian retina
title_short Nonlinear decoding of a complex movie from the mammalian retina
title_sort nonlinear decoding of a complex movie from the mammalian retina
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944913/
https://www.ncbi.nlm.nih.gov/pubmed/29746463
http://dx.doi.org/10.1371/journal.pcbi.1006057
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