Computational models of multisensory integration
Abstract
Normative Bayesian models of perceptual inference define how observers should combine uncertain information across multiple sensory channels and prior knowledge to obtain the most reliable percept of our environment. In this review, we first introduce forced fusion models that describe how observers integrate sensory signals along with prior knowledge approximately weighted in proportion to their relative reliabilities. Yet, these models describe only the special case of mandatory ...
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