Multisensory stimuli shift perceptual priors to facilitate rapid behavior

Abstract Multisensory stimuli speed behavioral responses, but the mechanisms subserving these effects remain disputed. Historically, the observation that multisensory reaction times (RTs) outpace models assuming independent sensory channels has been taken as evidence for multisensory integration (th...

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Autores principales:	John Plass, David Brang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8c607392f4ab4710839afa50b9f45d90
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spelling	oai:doaj.org-article:8c607392f4ab4710839afa50b9f45d902021-12-05T12:14:27ZMultisensory stimuli shift perceptual priors to facilitate rapid behavior10.1038/s41598-021-02566-82045-2322https://doaj.org/article/8c607392f4ab4710839afa50b9f45d902021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02566-8https://doaj.org/toc/2045-2322Abstract Multisensory stimuli speed behavioral responses, but the mechanisms subserving these effects remain disputed. Historically, the observation that multisensory reaction times (RTs) outpace models assuming independent sensory channels has been taken as evidence for multisensory integration (the “redundant target effect”; RTE). However, this interpretation has been challenged by alternative explanations based on stimulus sequence effects, RT variability, and/or negative correlations in unisensory processing. To clarify the mechanisms subserving the RTE, we collected RTs from 78 undergraduates in a multisensory simple RT task. Based on previous neurophysiological findings, we hypothesized that the RTE was unlikely to reflect these alternative mechanisms, and more likely reflected pre-potentiation of sensory responses through crossmodal phase-resetting. Contrary to accounts based on stimulus sequence effects, we found that preceding stimuli explained only 3–9% of the variance in apparent RTEs. Comparing three plausible evidence accumulator models, we found that multisensory RT distributions were best explained by increased sensory evidence at stimulus onset. Because crossmodal phase-resetting increases cortical excitability before sensory input arrives, these results are consistent with a mechanism based on pre-potentiation through phase-resetting. Mathematically, this model entails increasing the prior log-odds of stimulus presence, providing a potential link between neurophysiological, behavioral, and computational accounts of multisensory interactions.John PlassDavid BrangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q John Plass David Brang Multisensory stimuli shift perceptual priors to facilitate rapid behavior
description	Abstract Multisensory stimuli speed behavioral responses, but the mechanisms subserving these effects remain disputed. Historically, the observation that multisensory reaction times (RTs) outpace models assuming independent sensory channels has been taken as evidence for multisensory integration (the “redundant target effect”; RTE). However, this interpretation has been challenged by alternative explanations based on stimulus sequence effects, RT variability, and/or negative correlations in unisensory processing. To clarify the mechanisms subserving the RTE, we collected RTs from 78 undergraduates in a multisensory simple RT task. Based on previous neurophysiological findings, we hypothesized that the RTE was unlikely to reflect these alternative mechanisms, and more likely reflected pre-potentiation of sensory responses through crossmodal phase-resetting. Contrary to accounts based on stimulus sequence effects, we found that preceding stimuli explained only 3–9% of the variance in apparent RTEs. Comparing three plausible evidence accumulator models, we found that multisensory RT distributions were best explained by increased sensory evidence at stimulus onset. Because crossmodal phase-resetting increases cortical excitability before sensory input arrives, these results are consistent with a mechanism based on pre-potentiation through phase-resetting. Mathematically, this model entails increasing the prior log-odds of stimulus presence, providing a potential link between neurophysiological, behavioral, and computational accounts of multisensory interactions.
format	article
author	John Plass David Brang
author_facet	John Plass David Brang
author_sort	John Plass
title	Multisensory stimuli shift perceptual priors to facilitate rapid behavior
title_short	Multisensory stimuli shift perceptual priors to facilitate rapid behavior
title_full	Multisensory stimuli shift perceptual priors to facilitate rapid behavior
title_fullStr	Multisensory stimuli shift perceptual priors to facilitate rapid behavior
title_full_unstemmed	Multisensory stimuli shift perceptual priors to facilitate rapid behavior
title_sort	multisensory stimuli shift perceptual priors to facilitate rapid behavior
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8c607392f4ab4710839afa50b9f45d90
work_keys_str_mv	AT johnplass multisensorystimulishiftperceptualpriorstofacilitaterapidbehavior AT davidbrang multisensorystimulishiftperceptualpriorstofacilitaterapidbehavior
_version_	1718372142505000960

Multisensory stimuli shift perceptual priors to facilitate rapid behavior

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