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Sensory Cue Integration$
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Julia Trommershäuser, Konrad Kording, and Michael S. Landy

Print publication date: 2011

Print ISBN-13: 9780195387247

Published to Oxford Scholarship Online: September 2012

DOI: 10.1093/acprof:oso/9780195387247.001.0001

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Humans' Multisensory Perception, from Integration to Segregation, Follows Bayesian Inference

Humans' Multisensory Perception, from Integration to Segregation, Follows Bayesian Inference

Chapter:
(p.251) CHAPTER 13 Humans' Multisensory Perception, from Integration to Segregation, Follows Bayesian Inference
Source:
Sensory Cue Integration
Author(s):

Ladan Shams

Ulrik Beierholm

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195387247.003.0013

This chapter first discusses experimental findings showing that multisensory perception encompasses a spectrum of phenomena ranging from full integration (or fusion), to partial integration, to complete segregation. Next, it describes two Bayesian causal-inference models that can account for the entire range of combinations of two or more sensory cues. It shows that one of these models, which is a hierarchical Bayesian model, is a special form of the other one (which is a nonhierarchical model). It then compares the predictions of these models with human data in multiple experiments and shows that Bayesian causal-inference models can account for the human data remarkably well. Finally, a study is presented that investigates the stability of priors in the face of drastic change in sensory conditions.

Keywords:   multisensory perception, cue integration, Bayesian causal-inference models, sensory cues

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