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Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells

A goal of systems neuroscience is to discover the circuit mechanisms underlying brain function. Despite experimental advances that enable circuit-wide neural recording, the problem remains open in part because solving the ‘inverse problem’ of inferring circuity and mechanism by merely observing acti...

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Detalles Bibliográficos
Autores principales: Widloski, John, Marder, Michael P, Fiete, Ila R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078497/
https://www.ncbi.nlm.nih.gov/pubmed/29985132
http://dx.doi.org/10.7554/eLife.33503
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author Widloski, John
Marder, Michael P
Fiete, Ila R
author_facet Widloski, John
Marder, Michael P
Fiete, Ila R
author_sort Widloski, John
collection PubMed
description A goal of systems neuroscience is to discover the circuit mechanisms underlying brain function. Despite experimental advances that enable circuit-wide neural recording, the problem remains open in part because solving the ‘inverse problem’ of inferring circuity and mechanism by merely observing activity is hard. In the grid cell system, we show through modeling that a technique based on global circuit perturbation and examination of a novel theoretical object called the distribution of relative phase shifts (DRPS) could reveal the mechanisms of a cortical circuit at unprecedented detail using extremely sparse neural recordings. We establish feasibility, showing that the method can discriminate between recurrent versus feedforward mechanisms and amongst various recurrent mechanisms using recordings from a handful of cells. The proposed strategy demonstrates that sparse recording coupled with simple perturbation can reveal more about circuit mechanism than can full knowledge of network activity or the synaptic connectivity matrix.
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spelling pubmed-60784972018-08-08 Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells Widloski, John Marder, Michael P Fiete, Ila R eLife Neuroscience A goal of systems neuroscience is to discover the circuit mechanisms underlying brain function. Despite experimental advances that enable circuit-wide neural recording, the problem remains open in part because solving the ‘inverse problem’ of inferring circuity and mechanism by merely observing activity is hard. In the grid cell system, we show through modeling that a technique based on global circuit perturbation and examination of a novel theoretical object called the distribution of relative phase shifts (DRPS) could reveal the mechanisms of a cortical circuit at unprecedented detail using extremely sparse neural recordings. We establish feasibility, showing that the method can discriminate between recurrent versus feedforward mechanisms and amongst various recurrent mechanisms using recordings from a handful of cells. The proposed strategy demonstrates that sparse recording coupled with simple perturbation can reveal more about circuit mechanism than can full knowledge of network activity or the synaptic connectivity matrix. eLife Sciences Publications, Ltd 2018-07-09 /pmc/articles/PMC6078497/ /pubmed/29985132 http://dx.doi.org/10.7554/eLife.33503 Text en © 2018, Widloski et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Widloski, John
Marder, Michael P
Fiete, Ila R
Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
title Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
title_full Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
title_fullStr Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
title_full_unstemmed Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
title_short Inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
title_sort inferring circuit mechanisms from sparse neural recording and global perturbation in grid cells
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078497/
https://www.ncbi.nlm.nih.gov/pubmed/29985132
http://dx.doi.org/10.7554/eLife.33503
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