TY - JOUR
T1 - Multisensory integration
T2 - psychophysics, neurophysiology, and computation
AU - Angelaki, Dora E.
AU - Gu, Yong
AU - DeAngelis, Gregory C.
N1 - Funding Information:
The authors acknowledge the support by NIH EY017866 and EY019087 (to DEA) and NIH EY016178 (to GCD).
PY - 2009/8
Y1 - 2009/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=69449087069&partnerID=8YFLogxK
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U2 - 10.1016/j.conb.2009.06.008
DO - 10.1016/j.conb.2009.06.008
M3 - Review article
C2 - 19616425
AN - SCOPUS:69449087069
SN - 0959-4388
VL - 19
SP - 452
EP - 458
JO - Current Opinion in Neurobiology
JF - Current Opinion in Neurobiology
IS - 4
ER -