Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate

Predicting future sensory input based on past sensory information is essential for organisms to effectively adapt their behaviour in dynamic environments. The authors identify the neural mechanisms enabling humans to predict dynamic stimuli in natural environments despite large sensory input rate va...

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Autores principales:	Thomas J. Baumgarten, Brian Maniscalco, Jennifer L. Lee, Matthew W. Flounders, Patrice Abry, Biyu J. He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/df00db16a99949feaa69189f8674c3b6
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spelling	oai:doaj.org-article:df00db16a99949feaa69189f8674c3b62021-12-02T16:57:57ZNeural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate10.1038/s41467-021-22632-z2041-1723https://doaj.org/article/df00db16a99949feaa69189f8674c3b62021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22632-zhttps://doaj.org/toc/2041-1723Predicting future sensory input based on past sensory information is essential for organisms to effectively adapt their behaviour in dynamic environments. The authors identify the neural mechanisms enabling humans to predict dynamic stimuli in natural environments despite large sensory input rate variations.Thomas J. BaumgartenBrian ManiscalcoJennifer L. LeeMatthew W. FloundersPatrice AbryBiyu J. HeNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Thomas J. Baumgarten Brian Maniscalco Jennifer L. Lee Matthew W. Flounders Patrice Abry Biyu J. He Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
description	Predicting future sensory input based on past sensory information is essential for organisms to effectively adapt their behaviour in dynamic environments. The authors identify the neural mechanisms enabling humans to predict dynamic stimuli in natural environments despite large sensory input rate variations.
format	article
author	Thomas J. Baumgarten Brian Maniscalco Jennifer L. Lee Matthew W. Flounders Patrice Abry Biyu J. He
author_facet	Thomas J. Baumgarten Brian Maniscalco Jennifer L. Lee Matthew W. Flounders Patrice Abry Biyu J. He
author_sort	Thomas J. Baumgarten
title	Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
title_short	Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
title_full	Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
title_fullStr	Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
title_full_unstemmed	Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
title_sort	neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/df00db16a99949feaa69189f8674c3b6
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Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate

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