A Bayesian Model of Conditioned Perception
Identifieur interne : 001B24 ( Pmc/Corpus ); précédent : 001B23; suivant : 001B25A Bayesian Model of Conditioned Perception
Auteurs : Alan A. Stocker ; Eero P. SimoncelliSource :
- Advances in neural information processing systems [ 1049-5258 ] ; 2007.
Abstract
We argue that in many circumstances, human observers evaluate sensory evidence simultaneously under multiple hypotheses regarding the physical process that has generated the sensory information. In such situations, inference can be optimal if an observer combines the evaluation results under each hypothesis according to the probability that the associated hypothesis is correct. However, a number of experimental results reveal suboptimal behavior and may be explained by assuming that once an observer has committed to a particular hypothesis, subsequent evaluation is based on that hypothesis alone. That is, observers sacrifice optimality in order to ensure
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PubMed: 25328364
PubMed Central: 4199208
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