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Visual physiology of the layer 4 cortical circuit in silico
Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit m...
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/PMC6258373/ https://www.ncbi.nlm.nih.gov/pubmed/30419013 http://dx.doi.org/10.1371/journal.pcbi.1006535 |
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author | Arkhipov, Anton Gouwens, Nathan W. Billeh, Yazan N. Gratiy, Sergey Iyer, Ramakrishnan Wei, Ziqiang Xu, Zihao Abbasi-Asl, Reza Berg, Jim Buice, Michael Cain, Nicholas da Costa, Nuno de Vries, Saskia Denman, Daniel Durand, Severine Feng, David Jarsky, Tim Lecoq, Jérôme Lee, Brian Li, Lu Mihalas, Stefan Ocker, Gabriel K. Olsen, Shawn R. Reid, R. Clay Soler-Llavina, Gilberto Sorensen, Staci A. Wang, Quanxin Waters, Jack Scanziani, Massimo Koch, Christof |
author_facet | Arkhipov, Anton Gouwens, Nathan W. Billeh, Yazan N. Gratiy, Sergey Iyer, Ramakrishnan Wei, Ziqiang Xu, Zihao Abbasi-Asl, Reza Berg, Jim Buice, Michael Cain, Nicholas da Costa, Nuno de Vries, Saskia Denman, Daniel Durand, Severine Feng, David Jarsky, Tim Lecoq, Jérôme Lee, Brian Li, Lu Mihalas, Stefan Ocker, Gabriel K. Olsen, Shawn R. Reid, R. Clay Soler-Llavina, Gilberto Sorensen, Staci A. Wang, Quanxin Waters, Jack Scanziani, Massimo Koch, Christof |
author_sort | Arkhipov, Anton |
collection | PubMed |
description | Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit model of layer 4 in the mouse primary visual cortex, receiving thalamo-cortical visual inputs. The 45,000-neuron model was subjected to a battery of visual stimuli, and results were compared to published work and new in vivo experiments. Simulations reproduced a variety of observations, including effects of optogenetic perturbations. Critical to the agreement between responses in silico and in vivo were the rules of functional synaptic connectivity between neurons. Interestingly, after extreme simplification the model still performed satisfactorily on many measurements, although quantitative agreement with experiments suffered. These results emphasize the importance of functional rules of cortical wiring and enable a next generation of data-driven models of in vivo neural activity and computations. |
format | Online Article Text |
id | pubmed-6258373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62583732018-12-06 Visual physiology of the layer 4 cortical circuit in silico Arkhipov, Anton Gouwens, Nathan W. Billeh, Yazan N. Gratiy, Sergey Iyer, Ramakrishnan Wei, Ziqiang Xu, Zihao Abbasi-Asl, Reza Berg, Jim Buice, Michael Cain, Nicholas da Costa, Nuno de Vries, Saskia Denman, Daniel Durand, Severine Feng, David Jarsky, Tim Lecoq, Jérôme Lee, Brian Li, Lu Mihalas, Stefan Ocker, Gabriel K. Olsen, Shawn R. Reid, R. Clay Soler-Llavina, Gilberto Sorensen, Staci A. Wang, Quanxin Waters, Jack Scanziani, Massimo Koch, Christof PLoS Comput Biol Research Article Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit model of layer 4 in the mouse primary visual cortex, receiving thalamo-cortical visual inputs. The 45,000-neuron model was subjected to a battery of visual stimuli, and results were compared to published work and new in vivo experiments. Simulations reproduced a variety of observations, including effects of optogenetic perturbations. Critical to the agreement between responses in silico and in vivo were the rules of functional synaptic connectivity between neurons. Interestingly, after extreme simplification the model still performed satisfactorily on many measurements, although quantitative agreement with experiments suffered. These results emphasize the importance of functional rules of cortical wiring and enable a next generation of data-driven models of in vivo neural activity and computations. Public Library of Science 2018-11-12 /pmc/articles/PMC6258373/ /pubmed/30419013 http://dx.doi.org/10.1371/journal.pcbi.1006535 Text en © 2018 Arkhipov 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 Arkhipov, Anton Gouwens, Nathan W. Billeh, Yazan N. Gratiy, Sergey Iyer, Ramakrishnan Wei, Ziqiang Xu, Zihao Abbasi-Asl, Reza Berg, Jim Buice, Michael Cain, Nicholas da Costa, Nuno de Vries, Saskia Denman, Daniel Durand, Severine Feng, David Jarsky, Tim Lecoq, Jérôme Lee, Brian Li, Lu Mihalas, Stefan Ocker, Gabriel K. Olsen, Shawn R. Reid, R. Clay Soler-Llavina, Gilberto Sorensen, Staci A. Wang, Quanxin Waters, Jack Scanziani, Massimo Koch, Christof Visual physiology of the layer 4 cortical circuit in silico |
title | Visual physiology of the layer 4 cortical circuit in silico |
title_full | Visual physiology of the layer 4 cortical circuit in silico |
title_fullStr | Visual physiology of the layer 4 cortical circuit in silico |
title_full_unstemmed | Visual physiology of the layer 4 cortical circuit in silico |
title_short | Visual physiology of the layer 4 cortical circuit in silico |
title_sort | visual physiology of the layer 4 cortical circuit in silico |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258373/ https://www.ncbi.nlm.nih.gov/pubmed/30419013 http://dx.doi.org/10.1371/journal.pcbi.1006535 |
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