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Bayesian integration of visual and vestibular signals for heading
Open accessAbstract
Self-motion through an environment involves a composite of signals such as visual and vestibular cues. Building upon previous results showing that visual and vestibular signals combine in a statistically optimal fashion, we investigated the relative weights of visual and vestibular cues during self-motion. This experiment was comprised of three experimental conditions: vestibular alone, visual alone (with four different standard heading values), and visual-vestibular combined. In the combined cue condition, inter-sensory conflicts were introduced (Δ = ±6° or ±10°). Participants performed a 2-interval forced choice task in all conditions and were asked to judge in which of the two intervals they moved more to the right. The cue-conflict condition revealed the relative weights associated with each modality. We found that even when there was a relatively large conflict between the visual and vestibular cues, participants exhibited a statistically optimal reduction in variance. On the other hand, we found that the pattern of results in the unimodal conditions did not predict the weights in the combined cue condition. Specifically, visual-vestibular cue combination was not predicted solely by the reliability of each cue, but rather more weight was given to the vestibular cue.
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“In particular, if a small conflict is introduced between two cues, an observer’s judgment will incorporate both signals but depend more on the signal that is more reliable (i.e., has the lowest estimator variance) (9, 10, 21).”
From How multisensory neurons solve causal inference. (2021) · cites this paper as [21]
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Metadata
- Authors
- Butler, J. S., Smith, S. T., Campos, J. L., & Bulthoff, H. H.
- Affiliations
- Albert Einstein College of Medicine (US)
- Neuroscience Research Australia (AU)
- University of Toronto (CA)
- Corresponding author
- Butler, J. S.
- Smith, S. T.
- Campos, J. L.
- Venue
- Journal of Vision
- Published
- 2010-09-23
- Volume
- 10
- Issue
- 11
- Pages
- 23-23
- ISSN
- 1534-7362 (ISSN-L)
- OpenAlex
- W2152174583
- Cited by
- 250
- References
- 65
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- FWCI
- 17.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Vision (publishedVersion)
- PubMed (publishedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- 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
- heading perception, visual-vestibular integration, cue weighting, self-motion perception, vestibular cues, visual cues, variance reduction
- MeSH terms
- Adult, Bayes Theorem, Cues, Female, Humans, Male, Motion Perception, Photic Stimulation, Proprioception, Rotation, Vestibule, Labyrinth, Young Adult
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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