Nour, MM;
Nour, JM;
(2015)
Perception, Illusions and Bayesian Inference.
Psychopathology
, 48
(4)
pp. 217-221.
10.1159/000437271.
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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.
| Type: | Article |
|---|---|
| Title: | Perception, Illusions and Bayesian Inference |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1159/000437271 |
| Publisher version: | https://doi.org/10.1159/000437271 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Psychiatry, Illusion, Perception, Bayes theory, Predictive coding, Perceptual inference, EMPIRICAL EXPLANATION, OBJECT PERCEPTION, DECISION-MAKING, FREE-ENERGY, VISION, BRAIN, EXPECTATION, RESPONSES, CORTEX, SEE |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10060877 |
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