| Piéron's Law and Optimal Behavior in Perceptual Decision-Making. | |
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MedLine Citation:
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PMID: 22232572 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Leendert van Maanen; Raoul P P P Grasman; Birte U Forstmann; Eric-Jan Wagenmakers |
Publication Detail:
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Type: Journal Article Date: 2012-01-02 |
Journal Detail:
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Title: Frontiers in neuroscience Volume: 5 ISSN: 1662-453X ISO Abbreviation: Front Neurosci Publication Date: 2012 |
Date Detail:
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Created Date: 2012-01-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101478481 Medline TA: Front Neurosci Country: Switzerland |
Other Details:
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Languages: eng Pagination: 143 Citation Subset: - |
Affiliation:
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University of Amsterdam Amsterdam, Netherlands. |
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