Dynamic re-weighting of visual and vestibular cues during self-motion perception
Identifieur interne : 001378 ( Ncbi/Merge ); précédent : 001377; suivant : 001379Dynamic re-weighting of visual and vestibular cues during self-motion perception
Auteurs : Christopher R. Fetsch [États-Unis] ; Amanda H. Turner [États-Unis] ; Gregory C. Deangelis [États-Unis] ; Dora E. Angelaki [États-Unis]Source :
- The Journal of neuroscience : the official journal of the Society for Neuroscience [ 0270-6474 ] ; 2009.
Abstract
The perception of self-motion direction, or heading, relies on integration of multiple sensory cues, especially from the visual and vestibular systems. However, the reliability of sensory information can vary rapidly and unpredictably, and it remains unclear how the brain integrates multiple sensory signals given this dynamic uncertainty. Human psychophysical studies have shown that observers combine cues by weighting them in proportion to their reliability, consistent with statistically optimal integration schemes derived from Bayesian probability theory. Remarkably, because cue reliability is varied randomly across trials, the perceptual weight assigned to each cue must change from trial to trial. Dynamic cue re-weighting has not been examined for combinations of visual and vestibular cues, nor has the Bayesian cue integration approach been applied to laboratory animals, an important step toward understanding the neural basis of cue integration. To address these issues, we tested human and monkey subjects in a heading discrimination task involving visual (optic flow) and vestibular (translational motion) cues. The cues were placed in conflict on a subset of trials, and their relative reliability was varied to assess the weights that subjects gave to each cue in their heading judgments. We found that monkeys can rapidly re-weight visual and vestibular cues according to their reliability, the first such demonstration in a non-human species. However, some monkeys and humans tended to over-weight vestibular cues, inconsistent with simple predictions of a Bayesian model. Nonetheless, our findings establish a robust model system for studying the neural mechanisms of dynamic cue re-weighting in multisensory perception.
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DOI: 10.1523/JNEUROSCI.2574-09.2009
PubMed: 20007484
PubMed Central: 2824339
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<front><div type="abstract" xml:lang="en"><p id="P1">The perception of self-motion direction, or heading, relies on integration of multiple sensory cues, especially from the visual and vestibular systems. However, the reliability of sensory information can vary rapidly and unpredictably, and it remains unclear how the brain integrates multiple sensory signals given this dynamic uncertainty. Human psychophysical studies have shown that observers combine cues by weighting them in proportion to their reliability, consistent with statistically optimal integration schemes derived from Bayesian probability theory. Remarkably, because cue reliability is varied randomly across trials, the perceptual weight assigned to each cue must change from trial to trial. Dynamic cue re-weighting has not been examined for combinations of visual and vestibular cues, nor has the Bayesian cue integration approach been applied to laboratory animals, an important step toward understanding the neural basis of cue integration. To address these issues, we tested human and monkey subjects in a heading discrimination task involving visual (optic flow) and vestibular (translational motion) cues. The cues were placed in conflict on a subset of trials, and their relative reliability was varied to assess the weights that subjects gave to each cue in their heading judgments. We found that monkeys can rapidly re-weight visual and vestibular cues according to their reliability, the first such demonstration in a non-human species. However, some monkeys and humans tended to over-weight vestibular cues, inconsistent with simple predictions of a Bayesian model. Nonetheless, our findings establish a robust model system for studying the neural mechanisms of dynamic cue re-weighting in multisensory perception.</p>
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<author-notes><corresp id="FN1">Corresponding author: Dr. Dora Angelaki, Dept. of Anatomy and Neurobiology, Box 8108, Washington University School of Medicine, 660 S. Euclid Ave. St. Louis, MO 63110, Tel: (314) 747-5529; Fax: (314) 747-4370, <email>angelaki@pcg.wustl.edu</email>
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<abstract><p id="P1">The perception of self-motion direction, or heading, relies on integration of multiple sensory cues, especially from the visual and vestibular systems. However, the reliability of sensory information can vary rapidly and unpredictably, and it remains unclear how the brain integrates multiple sensory signals given this dynamic uncertainty. Human psychophysical studies have shown that observers combine cues by weighting them in proportion to their reliability, consistent with statistically optimal integration schemes derived from Bayesian probability theory. Remarkably, because cue reliability is varied randomly across trials, the perceptual weight assigned to each cue must change from trial to trial. Dynamic cue re-weighting has not been examined for combinations of visual and vestibular cues, nor has the Bayesian cue integration approach been applied to laboratory animals, an important step toward understanding the neural basis of cue integration. To address these issues, we tested human and monkey subjects in a heading discrimination task involving visual (optic flow) and vestibular (translational motion) cues. The cues were placed in conflict on a subset of trials, and their relative reliability was varied to assess the weights that subjects gave to each cue in their heading judgments. We found that monkeys can rapidly re-weight visual and vestibular cues according to their reliability, the first such demonstration in a non-human species. However, some monkeys and humans tended to over-weight vestibular cues, inconsistent with simple predictions of a Bayesian model. Nonetheless, our findings establish a robust model system for studying the neural mechanisms of dynamic cue re-weighting in multisensory perception.</p>
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