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- Title
Perception, Illusions and Bayesian Inference.
- Authors
Nour, Matthew M.; Nour, Joseph M.
- Abstract
Descriptive psychopathology makes a distinction between veridical perception and illusory perception. In both cases a perception is tied to a sensory stimulus, but in illusions the perception is of a false object. This article re-examines this distinction in light of new work in theoretical and computational neurobiology, which views all perception as a form of Bayesian statistical inference that combines sensory signals with prior expectations. Bayesian perceptual inference can solve the 'inverse optics' problem of veridical perception and provides a biologically plausible account of a number of illusory phenomena, suggesting that veridical and illusory perceptions are generated by precisely the same inferential mechanisms. © 2015 S. Karger AG, Basel
- Subjects
SENSORY perception; ILLUSION (Philosophy); SENSORY stimulation; PATHOLOGICAL psychology; BAYESIAN analysis
- Publication
Psychopathology, 2015, Vol 48, Issue 4, p217
- ISSN
0254-4962
- Publication type
Article
- DOI
10.1159/000437271