Reconstructing neuronal circuitry from parallel spike trains

Current techniques have enabled the simultaneous collection of spike train data from large numbers of neurons. Here, the authors report a method to infer the underlying neural circuit connectivity diagram based on a generalized linear model applied to spike cross-correlations between neurons.

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Autores principales:	Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1139b3b3aec44e7da4d4083a6c74e53b
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spelling	oai:doaj.org-article:1139b3b3aec44e7da4d4083a6c74e53b2021-12-02T14:35:43ZReconstructing neuronal circuitry from parallel spike trains10.1038/s41467-019-12225-22041-1723https://doaj.org/article/1139b3b3aec44e7da4d4083a6c74e53b2019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12225-2https://doaj.org/toc/2041-1723Current techniques have enabled the simultaneous collection of spike train data from large numbers of neurons. Here, the authors report a method to infer the underlying neural circuit connectivity diagram based on a generalized linear model applied to spike cross-correlations between neurons.Ryota KobayashiShuhei KuritaAnno KurthKatsunori KitanoKenji MizusekiMarkus DiesmannBarry J. RichmondShigeru ShinomotoNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ryota Kobayashi Shuhei Kurita Anno Kurth Katsunori Kitano Kenji Mizuseki Markus Diesmann Barry J. Richmond Shigeru Shinomoto Reconstructing neuronal circuitry from parallel spike trains
description	Current techniques have enabled the simultaneous collection of spike train data from large numbers of neurons. Here, the authors report a method to infer the underlying neural circuit connectivity diagram based on a generalized linear model applied to spike cross-correlations between neurons.
format	article
author	Ryota Kobayashi Shuhei Kurita Anno Kurth Katsunori Kitano Kenji Mizuseki Markus Diesmann Barry J. Richmond Shigeru Shinomoto
author_facet	Ryota Kobayashi Shuhei Kurita Anno Kurth Katsunori Kitano Kenji Mizuseki Markus Diesmann Barry J. Richmond Shigeru Shinomoto
author_sort	Ryota Kobayashi
title	Reconstructing neuronal circuitry from parallel spike trains
title_short	Reconstructing neuronal circuitry from parallel spike trains
title_full	Reconstructing neuronal circuitry from parallel spike trains
title_fullStr	Reconstructing neuronal circuitry from parallel spike trains
title_full_unstemmed	Reconstructing neuronal circuitry from parallel spike trains
title_sort	reconstructing neuronal circuitry from parallel spike trains
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/1139b3b3aec44e7da4d4083a6c74e53b
work_keys_str_mv	AT ryotakobayashi reconstructingneuronalcircuitryfromparallelspiketrains AT shuheikurita reconstructingneuronalcircuitryfromparallelspiketrains AT annokurth reconstructingneuronalcircuitryfromparallelspiketrains AT katsunorikitano reconstructingneuronalcircuitryfromparallelspiketrains AT kenjimizuseki reconstructingneuronalcircuitryfromparallelspiketrains AT markusdiesmann reconstructingneuronalcircuitryfromparallelspiketrains AT barryjrichmond reconstructingneuronalcircuitryfromparallelspiketrains AT shigerushinomoto reconstructingneuronalcircuitryfromparallelspiketrains
_version_	1718391054625931264

Reconstructing neuronal circuitry from parallel spike trains

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