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Cited by 302

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons

Open access
Fetsch, Christopher R., DeAngelis, Gregory C., Angelaki, Dora E.·2013·Nature Reviews Neuroscience

Abstract

The richness of perceptual experience, as well as its usefulness for guiding behaviour, depends on the synthesis of information across multiple senses. Recent decades have witnessed a surge in our understanding of how the brain combines sensory cues. Much of this research has been guided by one of two distinct approaches: one is driven primarily by neurophysiological observations, and the other is guided by principles of mathematical psychology and psychophysics. Conflicting results and interpretations have contributed to a conceptual gap between psychophysical and physiological accounts of cue integration, but recent studies of visual–vestibular cue integration have narrowed this gap considerably.

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Crossref · 10.1038/nrn3503

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Metadata

Authors
Fetsch, C. R., DeAngelis, G. C., & Angelaki, D. E.
Venue
Nature Reviews Neuroscience
Published
2013-05-20
Volume
14
Issue
6
Pages
429-442
ISSN
  • 1471-003X (ISSN-L)
  • 1471-0048
OpenAlex
W2043299443
Cited by
302
References
122
FWCI
5.18
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons. https://app.cochat.ai/papers/10.1038/nrn3503
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Fetsch, C. R., DeAngelis, G. C., & Angelaki, D. E. (2013). Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn3503

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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.