Document Detail


Piéron's Law and Optimal Behavior in Perceptual Decision-Making.
MedLine Citation:
PMID:  22232572     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
Piéron's Law is a psychophysical regularity in signal detection tasks that states that mean response times decrease as a power function of stimulus intensity. In this article, we extend Piéron's Law to perceptual two-choice decision-making tasks, and demonstrate that the law holds as the discriminability between two competing choices is manipulated, even though the stimulus intensity remains constant. This result is consistent with predictions from a Bayesian ideal observer model. The model assumes that in order to respond optimally in a two-choice decision-making task, participants continually update the posterior probability of each response alternative, until the probability of one alternative crosses a criterion value. In addition to predictions for two-choice decision-making tasks, we extend the ideal observer model to predict Piéron's Law in signal detection tasks. We conclude that Piéron's Law is a general phenomenon that may be caused by optimality constraints.
Authors:
Leendert van Maanen; Raoul P P P Grasman; Birte U Forstmann; Eric-Jan Wagenmakers
Publication Detail:
Type:  Journal Article     Date:  2012-01-02
Journal Detail:
Title:  Frontiers in neuroscience     Volume:  5     ISSN:  1662-453X     ISO Abbreviation:  Front Neurosci     Publication Date:  2012  
Date Detail:
Created Date:  2012-01-10     Completed Date:  2012-10-02     Revised Date:  2013-08-13    
Medline Journal Info:
Nlm Unique ID:  101478481     Medline TA:  Front Neurosci     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  143     Citation Subset:  -    
Affiliation:
University of Amsterdam Amsterdam, Netherlands.
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