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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5944913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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