Probabilistic Computation in Human Perception under Variability in Encoding Precision

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 e...

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Main Authors: Keshvari, Shaiyan Oliver, Berg, Ronald van den, Ma, Wei Ji
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Public Library of Science 2012
Online Access:http://hdl.handle.net/1721.1/72430
https://orcid.org/0000-0002-5907-6259
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author Keshvari, Shaiyan Oliver
Berg, Ronald van den
Ma, Wei Ji
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Keshvari, Shaiyan Oliver
Berg, Ronald van den
Ma, Wei Ji
author_sort Keshvari, Shaiyan Oliver
collection MIT
description 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.
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spelling mit-1721.1/724302022-10-01T10:09:32Z Probabilistic Computation in Human Perception under Variability in Encoding Precision Keshvari, Shaiyan Oliver Berg, Ronald van den Ma, Wei Ji Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Keshvari, Shaiyan Oliver Keshvari, Shaiyan Oliver 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. 2012-08-29T18:31:43Z 2012-08-29T18:31:43Z 2012-06 2011-11 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/72430 Keshvari, Shaiyan, Ronald van den Berg, and Wei Ji Ma. “Probabilistic Computation in Human Perception Under Variability in Encoding Precision.” Ed. Marc O. Ernst. PLoS ONE 7.6 (2012): e40216. https://orcid.org/0000-0002-5907-6259 en_US http://dx.doi.org/10.1371/journal.pone.0040216 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS
spellingShingle Keshvari, Shaiyan Oliver
Berg, Ronald van den
Ma, Wei Ji
Probabilistic Computation in Human Perception under Variability in Encoding Precision
title Probabilistic Computation in Human Perception under Variability in Encoding Precision
title_full Probabilistic Computation in Human Perception under Variability in Encoding Precision
title_fullStr Probabilistic Computation in Human Perception under Variability in Encoding Precision
title_full_unstemmed Probabilistic Computation in Human Perception under Variability in Encoding Precision
title_short Probabilistic Computation in Human Perception under Variability in Encoding Precision
title_sort probabilistic computation in human perception under variability in encoding precision
url http://hdl.handle.net/1721.1/72430
https://orcid.org/0000-0002-5907-6259
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