Cited by 230Multisensory perception and integrationTactile and Sensory InteractionsVisual perception and processing mechanisms

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Bayesian multisensory integration and cross-modal spatial links.

Deneve, Sophie, Pouget, Alexandre·2004·Journal of Physiology-Paris

DOI 10.1016/j.jphysparis.2004.03.011

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Abstract

Our perception of the word is the result of combining information between several senses, such as vision, audition and proprioception. These sensory modalities use widely different frames of reference to represent the properties and locations of object. Moreover, multisensory cues come with different degrees of reliability, and the reliability of a given cue can change in different contexts. The Bayesian framework--which we describe in this review--provides an optimal solution to deal with this issue of combining cues that are not equally reliable. However, this approach does not address the issue of frames of references. We show that this problem can be solved by creating cross-modal spatial links in basis function networks. Finally, we show how the basis function approach can be combined with the Bayesian framework to yield networks that can perform optimal multisensory combination. On the basis of this theory, we argue that multisensory integration is a dialogue between sensory modalities rather that the convergence of all sensory information onto a supra-modal area.

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Authors: Deneve, S., & Pouget, A.
Affiliations: University of Rochester (US)
ORCID: Pouget, Alexandre
Venue: Journal of Physiology-Paris
Publisher: Elsevier BV
Published: 2004-01
Volume: 98
Issue: 1-3
Pages: 249-258
ISSN: 0928-4257 (ISSN-L)
DOI: 10.1016/j.jphysparis.2004.03.011
OpenAlex: W2013752524
Cited by: 230
References: 43
Citations by year: 2026: 4 · 2025: 13 · 2024: 7 · 2023: 14 · 2022: 6 · 2021: 10 · 2020: 8 · 2019: 13 · 2018: 13 · 2017: 10 · 2016: 10 · 2015: 8 · 2014: 14 · 2013: 15 · 2012: 15
FWCI: 1.34
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Physiology-Paris (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Funders: Alfred P. Sloan Foundation
Office of Naval Research
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords: multisensory integration, Bayesian inference, cue reliability, word perception, speech perception, audiovisual integration
MeSH terms: Animals, Bayes Theorem, Humans, Space Perception, Touch

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Bayesian multisensory integration and cross-modal spatial links.

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