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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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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. |
format | Online Article Text |
id | pubmed-6078497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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