Systematic generation of biophysically detailed models for diverse cortical neuron types

Neocortical circuits exhibit diverse cell types that can be difficult to build into computational models. Here the authors employ a genetic algorithm-based parameter optimization to generate multi-compartment Hodgkin-Huxley models for diverse cell types in the Allen Cell Types Database.

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Autores principales:	Nathan W. Gouwens, Jim Berg, David Feng, Staci A. Sorensen, Hongkui Zeng, Michael J. Hawrylycz, Christof Koch, Anton Arkhipov
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5f1011cab91d4dc5ae8caffe5ac201b9
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spelling	oai:doaj.org-article:5f1011cab91d4dc5ae8caffe5ac201b92021-12-02T17:33:05ZSystematic generation of biophysically detailed models for diverse cortical neuron types10.1038/s41467-017-02718-32041-1723https://doaj.org/article/5f1011cab91d4dc5ae8caffe5ac201b92018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02718-3https://doaj.org/toc/2041-1723Neocortical circuits exhibit diverse cell types that can be difficult to build into computational models. Here the authors employ a genetic algorithm-based parameter optimization to generate multi-compartment Hodgkin-Huxley models for diverse cell types in the Allen Cell Types Database.Nathan W. GouwensJim BergDavid FengStaci A. SorensenHongkui ZengMichael J. HawrylyczChristof KochAnton ArkhipovNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Nathan W. Gouwens Jim Berg David Feng Staci A. Sorensen Hongkui Zeng Michael J. Hawrylycz Christof Koch Anton Arkhipov Systematic generation of biophysically detailed models for diverse cortical neuron types
description	Neocortical circuits exhibit diverse cell types that can be difficult to build into computational models. Here the authors employ a genetic algorithm-based parameter optimization to generate multi-compartment Hodgkin-Huxley models for diverse cell types in the Allen Cell Types Database.
format	article
author	Nathan W. Gouwens Jim Berg David Feng Staci A. Sorensen Hongkui Zeng Michael J. Hawrylycz Christof Koch Anton Arkhipov
author_facet	Nathan W. Gouwens Jim Berg David Feng Staci A. Sorensen Hongkui Zeng Michael J. Hawrylycz Christof Koch Anton Arkhipov
author_sort	Nathan W. Gouwens
title	Systematic generation of biophysically detailed models for diverse cortical neuron types
title_short	Systematic generation of biophysically detailed models for diverse cortical neuron types
title_full	Systematic generation of biophysically detailed models for diverse cortical neuron types
title_fullStr	Systematic generation of biophysically detailed models for diverse cortical neuron types
title_full_unstemmed	Systematic generation of biophysically detailed models for diverse cortical neuron types
title_sort	systematic generation of biophysically detailed models for diverse cortical neuron types
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/5f1011cab91d4dc5ae8caffe5ac201b9
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Systematic generation of biophysically detailed models for diverse cortical neuron types

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