Forward models demonstrate that repetition suppression is best modelled by local neural scaling

The neural mechanisms underlying the suppression of fMRI responses to repeated stimuli are under debate. Here, the authors compare computational models to show that only a local scaling model can fit univariate and multivariate fMRI repetition effects across two paradigms and multiple brain regions.

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Detalles Bibliográficos
Autores principales:	Arjen Alink, Hunar Abdulrahman, Richard N. Henson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9ce89a73cb404da380a5a1660990deec
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id	oai:doaj.org-article:9ce89a73cb404da380a5a1660990deec
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spelling	oai:doaj.org-article:9ce89a73cb404da380a5a1660990deec2021-12-02T14:39:46ZForward models demonstrate that repetition suppression is best modelled by local neural scaling10.1038/s41467-018-05957-02041-1723https://doaj.org/article/9ce89a73cb404da380a5a1660990deec2018-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05957-0https://doaj.org/toc/2041-1723The neural mechanisms underlying the suppression of fMRI responses to repeated stimuli are under debate. Here, the authors compare computational models to show that only a local scaling model can fit univariate and multivariate fMRI repetition effects across two paradigms and multiple brain regions.Arjen AlinkHunar AbdulrahmanRichard N. HensonNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Arjen Alink Hunar Abdulrahman Richard N. Henson Forward models demonstrate that repetition suppression is best modelled by local neural scaling
description	The neural mechanisms underlying the suppression of fMRI responses to repeated stimuli are under debate. Here, the authors compare computational models to show that only a local scaling model can fit univariate and multivariate fMRI repetition effects across two paradigms and multiple brain regions.
format	article
author	Arjen Alink Hunar Abdulrahman Richard N. Henson
author_facet	Arjen Alink Hunar Abdulrahman Richard N. Henson
author_sort	Arjen Alink
title	Forward models demonstrate that repetition suppression is best modelled by local neural scaling
title_short	Forward models demonstrate that repetition suppression is best modelled by local neural scaling
title_full	Forward models demonstrate that repetition suppression is best modelled by local neural scaling
title_fullStr	Forward models demonstrate that repetition suppression is best modelled by local neural scaling
title_full_unstemmed	Forward models demonstrate that repetition suppression is best modelled by local neural scaling
title_sort	forward models demonstrate that repetition suppression is best modelled by local neural scaling
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/9ce89a73cb404da380a5a1660990deec
work_keys_str_mv	AT arjenalink forwardmodelsdemonstratethatrepetitionsuppressionisbestmodelledbylocalneuralscaling AT hunarabdulrahman forwardmodelsdemonstratethatrepetitionsuppressionisbestmodelledbylocalneuralscaling AT richardnhenson forwardmodelsdemonstratethatrepetitionsuppressionisbestmodelledbylocalneuralscaling
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Forward models demonstrate that repetition suppression is best modelled by local neural scaling

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