Multisensory integration: psychophysics, neurophysiology, and computation
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Fundamental observations and principles derived from traditional physiological studies of multisensory integration have been difficult to reconcile with computational and psychophysical studies that share the foundation of probabilistic (Bayesian) inference. We review recent work on multisensory integration, focusing on experiments that bridge single-cell electrophysiology, psychophysics, and computational principles. These studies show that multisensory (visual-vestibular) neurons can account for near-optimal cue integration during the perception of self-motion. Unlike the nonlinear (superadditive) interactions emphasized in some previous studies, visual-vestibular neurons accomplish near-optimal cue integration through subadditive linear summation of their inputs, consistent with recent computational theories. Important issues remain to be resolved, including the observation that variations in cue reliability appear to change the weights that neurons apply to their different sensory inputs.
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Humans take uncertainty into account when combining different sources of information in a manner that conforms to the statistical optimum as prescribed by Bayes' rule.
“Humans have been shown to take uncertainty into account when combining different sources of information in a manner that conforms to the statistical optimum as prescribed by Bayes’ rule (Ernst & Banks, 2002; Angelaki et al., 2009).”
From The generalized Hierarchical Gaussian Filter (2026) · cites this paper as Angelaki et al., 2009
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- Authors
- Angelaki, D. E., Gu, Y., & DeAngelis, G. C.
- Affiliations
- Washington University in St. Louis (US)
- University of Rochester (US)
- Corresponding author
- Angelaki, Dora E
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 19
- Issue
- 4
- Pages
- 452-458
- ISSN
- 0959-4388 (ISSN-L)
- PMC
- PMC2749464
- OpenAlex
- W2013652395
- Cited by
- 383
- References
- 51
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 26 · 2023: 40 · 2022: 20 · 2021: 20 · 2020: 30 · 2019: 18 · 2018: 18 · 2017: 27 · 2016: 20 · 2015: 20 · 2014: 17 · 2013: 19 · 2012: 25
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Neurobiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Eye Institute (R01EY019087, EY-019087, R01EY017866, EY-017866, R01EY016178)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
- Keywords
- multisensory integration, self-motion perception, cue integration, Bayesian inference, cue reliability, sensory weighting, single-cell electrophysiology, psychophysics
- MeSH terms
- Animals, Brain, Models, Neurological, Nerve Net, Synaptic Transmission, Neurons, Sensation, Sensory Thresholds, Neural Networks, Computer
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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