At the most general level, multisensory integration (or multisensor data fusion) in application contexts is best described in terms of Bayesian theory, its specializations, and approximations to it.⇒
Bayesian models cannot explain why natural cognition is not always optimal or predict bahavior in cases when it is not.⇒
Already von Helmholtz formulated the idea that prior knowledge---or expectations---are fused with sensory information into perception.
This idea is at the core of Bayesian theory.⇒
`Fundamentalist Bayesians' posit that they can predict behavior purely on the basis of optimality.⇒