Inferring and validating mechanistic models of neural microcircuits based on spike-train data

It is difficult to fit mechanistic, biophysically constrained circuit models to spike train data from in vivo extracellular recordings. Here the authors present analytical methods that enable efficient parameter estimation for integrate-and-fire circuit models and inference of the underlying connect...

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Autores principales:	Josef Ladenbauer, Sam McKenzie, Daniel Fine English, Olivier Hagens, Srdjan Ostojic
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/85a037d778554f659901d36b5d3fc974
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spelling	oai:doaj.org-article:85a037d778554f659901d36b5d3fc9742021-12-02T17:02:14ZInferring and validating mechanistic models of neural microcircuits based on spike-train data10.1038/s41467-019-12572-02041-1723https://doaj.org/article/85a037d778554f659901d36b5d3fc9742019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12572-0https://doaj.org/toc/2041-1723It is difficult to fit mechanistic, biophysically constrained circuit models to spike train data from in vivo extracellular recordings. Here the authors present analytical methods that enable efficient parameter estimation for integrate-and-fire circuit models and inference of the underlying connectivity structure in subsampled networks.Josef LadenbauerSam McKenzieDaniel Fine EnglishOlivier HagensSrdjan OstojicNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-17 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Josef Ladenbauer Sam McKenzie Daniel Fine English Olivier Hagens Srdjan Ostojic Inferring and validating mechanistic models of neural microcircuits based on spike-train data
description	It is difficult to fit mechanistic, biophysically constrained circuit models to spike train data from in vivo extracellular recordings. Here the authors present analytical methods that enable efficient parameter estimation for integrate-and-fire circuit models and inference of the underlying connectivity structure in subsampled networks.
format	article
author	Josef Ladenbauer Sam McKenzie Daniel Fine English Olivier Hagens Srdjan Ostojic
author_facet	Josef Ladenbauer Sam McKenzie Daniel Fine English Olivier Hagens Srdjan Ostojic
author_sort	Josef Ladenbauer
title	Inferring and validating mechanistic models of neural microcircuits based on spike-train data
title_short	Inferring and validating mechanistic models of neural microcircuits based on spike-train data
title_full	Inferring and validating mechanistic models of neural microcircuits based on spike-train data
title_fullStr	Inferring and validating mechanistic models of neural microcircuits based on spike-train data
title_full_unstemmed	Inferring and validating mechanistic models of neural microcircuits based on spike-train data
title_sort	inferring and validating mechanistic models of neural microcircuits based on spike-train data
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/85a037d778554f659901d36b5d3fc974
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Inferring and validating mechanistic models of neural microcircuits based on spike-train data

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