Generalized leaky integrate-and-fire models classify multiple neuron types

Simplified neuron models, such as generalized leaky integrate-and-fire (GLIF) models, are extensively used in network modeling. Here the authors systematically generate and compare GLIF models of varying complexity for their ability to classify cell types in the Allen Cell Types Database and faithfu...

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Autores principales:	Corinne Teeter, Ramakrishnan Iyer, Vilas Menon, Nathan Gouwens, David Feng, Jim Berg, Aaron Szafer, Nicholas Cain, Hongkui Zeng, Michael Hawrylycz, Christof Koch, Stefan Mihalas
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fb9a3a73fdfc4dd688f4bfeb33f51a7e
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spelling	oai:doaj.org-article:fb9a3a73fdfc4dd688f4bfeb33f51a7e2021-12-02T14:40:31ZGeneralized leaky integrate-and-fire models classify multiple neuron types10.1038/s41467-017-02717-42041-1723https://doaj.org/article/fb9a3a73fdfc4dd688f4bfeb33f51a7e2018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02717-4https://doaj.org/toc/2041-1723Simplified neuron models, such as generalized leaky integrate-and-fire (GLIF) models, are extensively used in network modeling. Here the authors systematically generate and compare GLIF models of varying complexity for their ability to classify cell types in the Allen Cell Types Database and faithfully reproduce spike trains.Corinne TeeterRamakrishnan IyerVilas MenonNathan GouwensDavid FengJim BergAaron SzaferNicholas CainHongkui ZengMichael HawrylyczChristof KochStefan MihalasNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-15 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Corinne Teeter Ramakrishnan Iyer Vilas Menon Nathan Gouwens David Feng Jim Berg Aaron Szafer Nicholas Cain Hongkui Zeng Michael Hawrylycz Christof Koch Stefan Mihalas Generalized leaky integrate-and-fire models classify multiple neuron types
description	Simplified neuron models, such as generalized leaky integrate-and-fire (GLIF) models, are extensively used in network modeling. Here the authors systematically generate and compare GLIF models of varying complexity for their ability to classify cell types in the Allen Cell Types Database and faithfully reproduce spike trains.
format	article
author	Corinne Teeter Ramakrishnan Iyer Vilas Menon Nathan Gouwens David Feng Jim Berg Aaron Szafer Nicholas Cain Hongkui Zeng Michael Hawrylycz Christof Koch Stefan Mihalas
author_facet	Corinne Teeter Ramakrishnan Iyer Vilas Menon Nathan Gouwens David Feng Jim Berg Aaron Szafer Nicholas Cain Hongkui Zeng Michael Hawrylycz Christof Koch Stefan Mihalas
author_sort	Corinne Teeter
title	Generalized leaky integrate-and-fire models classify multiple neuron types
title_short	Generalized leaky integrate-and-fire models classify multiple neuron types
title_full	Generalized leaky integrate-and-fire models classify multiple neuron types
title_fullStr	Generalized leaky integrate-and-fire models classify multiple neuron types
title_full_unstemmed	Generalized leaky integrate-and-fire models classify multiple neuron types
title_sort	generalized leaky integrate-and-fire models classify multiple neuron types
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/fb9a3a73fdfc4dd688f4bfeb33f51a7e
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Generalized leaky integrate-and-fire models classify multiple neuron types

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