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Cited by 324

The DOI matches its Crossref record; 195 of the 195 references it cites were found in a registry or an index.

Multisensory Processing in Review: from Physiology to Behaviour

Alais, David, Newell, Fiona, Mamassian, Pascal·2010·Seeing and Perceiving

Abstract

Research in multisensory processes has exploded over the last decade. Tremendous advances have been made in a variety of fields from single-unit neural recordings and functional brain imaging through to behaviour, perception and cognition. These diverse approaches have highlighted how the senses work together to produce a coherent multimodal representation of the external world that enables us to function better by exploiting the redundancies and complementarities provided by multiple sensory modalities. With large numbers of new students and researchers being attracted to multisensory research, and the multi-disciplinary nature of the work, our aim in this review is to provide an overview of multisensory processing that includes all fields in a single review. Our intention is to provide a comprehensive source for those interested in learning about multisensory processes, covering a variety of sensory combinations and methodologies, and tracing the path from single-unit neurophysiology through to perception and cognitive functions such as attention and speech.

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Metadata

Authors
Alais, D., Newell, F., & Mamassian, P.
Venue
Seeing and Perceiving
Published
2010
Volume
23
Issue
1
Pages
3-38
ISSN
  • 1878-4755 (ISSN-L)
  • 1878-4763
OpenAlex
W2004441379
Cited by
324
References
195
FWCI
24.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multisensory Processing in Review: from Physiology to Behaviour. https://app.cochat.ai/papers/10.1163/187847510x488603
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Alais, D., Newell, F., & Mamassian, P. (2010). Multisensory Processing in Review: from Physiology to Behaviour. Seeing and Perceiving. https://doi.org/10.1163/187847510x488603

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.