Journal article
Tactile length contraction as Bayesian inference
Abstract
To perceive, the brain must interpret stimulus-evoked neural activity. This is challenging: The stochastic nature of the neural response renders its interpretation inherently uncertain. Perception would be optimized if the brain used Bayesian inference to interpret inputs in light of expectations derived from experience. Bayesian inference would improve perception on average but cause illusions when stimuli violate expectation. Intriguingly, …
Authors
Tong J; Ngo V; Goldreich D
Journal
Journal of Neurophysiology, Vol. 116, No. 2, pp. 369–379
Publisher
American Physiological Society
Publication Date
August 1, 2016
DOI
10.1152/jn.00029.2016
ISSN
0022-3077