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date: 23 August 2019

Abstract and Keywords

Bayesian models of perception offer a principled, coherent, and elegant way of approaching the central problem of perception: what the brain should believe about the world based on sensory data. This chapter gives a tutorial introduction to Bayesian inference, illustrating how it has been applied to problems in perceptual organization.

Keywords: Bayesian inference, probability, perception, perceptual organization, perceptual grouping

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