Measuring multisensory integration: from reaction times to spike counts

Abstract A neuron is categorized as “multisensory” if there is a statistically significant difference between the response evoked, e.g., by a crossmodal stimulus combination and that evoked by the most effective of its components separately. Being responsive to multiple sensory modalities does not g...

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Autores principales:	Hans Colonius, Adele Diederich
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a735a1421ffd4fbea17bb5067aecac1d
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spelling	oai:doaj.org-article:a735a1421ffd4fbea17bb5067aecac1d2021-12-02T15:05:05ZMeasuring multisensory integration: from reaction times to spike counts10.1038/s41598-017-03219-52045-2322https://doaj.org/article/a735a1421ffd4fbea17bb5067aecac1d2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03219-5https://doaj.org/toc/2045-2322Abstract A neuron is categorized as “multisensory” if there is a statistically significant difference between the response evoked, e.g., by a crossmodal stimulus combination and that evoked by the most effective of its components separately. Being responsive to multiple sensory modalities does not guarantee that a neuron has actually engaged in integrating its multiple sensory inputs: it could simply respond to the stimulus component eliciting the strongest response in a given trial. Crossmodal enhancement is commonly expressed as a proportion of the strongest mean unisensory response. This traditional index does not take into account any statistical dependency between the sensory channels under crossmodal stimulation. We propose an alternative index measuring by how much the multisensory response surpasses the level obtainable by optimally combining the unisensory responses, with optimality defined as probability summation under maximal negative stochastic dependence. The new index is analogous to measuring crossmodal enhancement in reaction time studies by the strength of violation of the “race model inequality’, a numerical measure of multisensory integration. Since the new index tends to be smaller than the traditional one, neurons previously labeled as “multisensory’ may lose that property. The index is easy to compute and it is sensitive to variability in data.Hans ColoniusAdele DiederichNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hans Colonius Adele Diederich Measuring multisensory integration: from reaction times to spike counts
description	Abstract A neuron is categorized as “multisensory” if there is a statistically significant difference between the response evoked, e.g., by a crossmodal stimulus combination and that evoked by the most effective of its components separately. Being responsive to multiple sensory modalities does not guarantee that a neuron has actually engaged in integrating its multiple sensory inputs: it could simply respond to the stimulus component eliciting the strongest response in a given trial. Crossmodal enhancement is commonly expressed as a proportion of the strongest mean unisensory response. This traditional index does not take into account any statistical dependency between the sensory channels under crossmodal stimulation. We propose an alternative index measuring by how much the multisensory response surpasses the level obtainable by optimally combining the unisensory responses, with optimality defined as probability summation under maximal negative stochastic dependence. The new index is analogous to measuring crossmodal enhancement in reaction time studies by the strength of violation of the “race model inequality’, a numerical measure of multisensory integration. Since the new index tends to be smaller than the traditional one, neurons previously labeled as “multisensory’ may lose that property. The index is easy to compute and it is sensitive to variability in data.
format	article
author	Hans Colonius Adele Diederich
author_facet	Hans Colonius Adele Diederich
author_sort	Hans Colonius
title	Measuring multisensory integration: from reaction times to spike counts
title_short	Measuring multisensory integration: from reaction times to spike counts
title_full	Measuring multisensory integration: from reaction times to spike counts
title_fullStr	Measuring multisensory integration: from reaction times to spike counts
title_full_unstemmed	Measuring multisensory integration: from reaction times to spike counts
title_sort	measuring multisensory integration: from reaction times to spike counts
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a735a1421ffd4fbea17bb5067aecac1d
work_keys_str_mv	AT hanscolonius measuringmultisensoryintegrationfromreactiontimestospikecounts AT adelediederich measuringmultisensoryintegrationfromreactiontimestospikecounts
_version_	1718388975907897344

Measuring multisensory integration: from reaction times to spike counts

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