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Probabilistic computation in human perception under variability in encoding precision
Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA.
Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA.
Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA.
2012 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 7, no 6, article id e40216Article in journal (Refereed) Published
Abstract [en]

A key function of the brain is to interpret noisy sensory information. To do so optimally, observers must, in many tasks, take into account knowledge of the precision with which stimuli are encoded. In an orientation change detection task, we find that encoding precision does not only depend on an experimentally controlled reliability parameter (shape), but also exhibits additional variability. In spite of variability in precision, human subjects seem to take into account precision near-optimally on a trial-to-trial and item-to-item basis. Our results offer a new conceptualization of the encoding of sensory information and highlight the brain's remarkable ability to incorporate knowledge of uncertainty during complex perceptual decision-making.

Place, publisher, year, edition, pages
2012. Vol. 7, no 6, article id e40216
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Psychology (excluding Applied Psychology)
Identifiers
URN: urn:nbn:se:uu:diva-308850DOI: 10.1371/journal.pone.0040216ISI: 000305892100231PubMedID: 22768258OAI: oai:DiVA.org:uu-308850DiVA, id: diva2:1051002
Available from: 2016-11-30 Created: 2016-11-30 Last updated: 2017-11-29Bibliographically approved

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