Computational models of category-selective brain regions enable high-throughput tests of selectivity

Distinct brain regions are claimed to respond selectively to faces, places and bodies, but what counts as a face, place or body is less well defined. Here we build computational models that accurately predict the response of these regions to novel images, enabling stronger tests and confirmation of...

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Autores principales:	N. Apurva Ratan Murty, Pouya Bashivan, Alex Abate, James J. DiCarlo, Nancy Kanwisher
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d9c8cf3114034a60be95c24ad337054d
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spelling	oai:doaj.org-article:d9c8cf3114034a60be95c24ad337054d2021-12-02T15:14:56ZComputational models of category-selective brain regions enable high-throughput tests of selectivity10.1038/s41467-021-25409-62041-1723https://doaj.org/article/d9c8cf3114034a60be95c24ad337054d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25409-6https://doaj.org/toc/2041-1723Distinct brain regions are claimed to respond selectively to faces, places and bodies, but what counts as a face, place or body is less well defined. Here we build computational models that accurately predict the response of these regions to novel images, enabling stronger tests and confirmation of their selectivity.N. Apurva Ratan MurtyPouya BashivanAlex AbateJames J. DiCarloNancy KanwisherNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q N. Apurva Ratan Murty Pouya Bashivan Alex Abate James J. DiCarlo Nancy Kanwisher Computational models of category-selective brain regions enable high-throughput tests of selectivity
description	Distinct brain regions are claimed to respond selectively to faces, places and bodies, but what counts as a face, place or body is less well defined. Here we build computational models that accurately predict the response of these regions to novel images, enabling stronger tests and confirmation of their selectivity.
format	article
author	N. Apurva Ratan Murty Pouya Bashivan Alex Abate James J. DiCarlo Nancy Kanwisher
author_facet	N. Apurva Ratan Murty Pouya Bashivan Alex Abate James J. DiCarlo Nancy Kanwisher
author_sort	N. Apurva Ratan Murty
title	Computational models of category-selective brain regions enable high-throughput tests of selectivity
title_short	Computational models of category-selective brain regions enable high-throughput tests of selectivity
title_full	Computational models of category-selective brain regions enable high-throughput tests of selectivity
title_fullStr	Computational models of category-selective brain regions enable high-throughput tests of selectivity
title_full_unstemmed	Computational models of category-selective brain regions enable high-throughput tests of selectivity
title_sort	computational models of category-selective brain regions enable high-throughput tests of selectivity
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d9c8cf3114034a60be95c24ad337054d
work_keys_str_mv	AT napurvaratanmurty computationalmodelsofcategoryselectivebrainregionsenablehighthroughputtestsofselectivity AT pouyabashivan computationalmodelsofcategoryselectivebrainregionsenablehighthroughputtestsofselectivity AT alexabate computationalmodelsofcategoryselectivebrainregionsenablehighthroughputtestsofselectivity AT jamesjdicarlo computationalmodelsofcategoryselectivebrainregionsenablehighthroughputtestsofselectivity AT nancykanwisher computationalmodelsofcategoryselectivebrainregionsenablehighthroughputtestsofselectivity
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Computational models of category-selective brain regions enable high-throughput tests of selectivity

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