Flexible mechanisms underlie the evaluation of visual confidence
Identifieur interne : 003783 ( Main/Merge ); précédent : 003782; suivant : 003784Flexible mechanisms underlie the evaluation of visual confidence
Auteurs : Simon Barthelmé [Allemagne] ; Pascal Mamassian [France]Source :
- Proceedings of the National Academy of Sciences of the United States of America [ 0027-8424 ] ; 2010.
Abstract
Visual processing is fraught with uncertainty: The visual system must attempt to estimate physical properties despite missing information and noisy mechanisms. Sometimes high visual uncertainty translates into lack of confidence in our visual perception: We are aware of not seeing well. The mechanism by which we achieve this awareness—how we assess our own visual uncertainty—is unknown, but its investigation is critical to our understanding of visual decision mechanisms. The simplest possibility is that the visual system relies on
Url:
DOI: 10.1073/pnas.1007704107
PubMed: 21076036
PubMed Central: 2996459
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<author><name sortKey="Barthelme, Simon" sort="Barthelme, Simon" uniqKey="Barthelme S" first="Simon" last="Barthelmé">Simon Barthelmé</name>
<affiliation wicri:level="1"><nlm:aff wicri:cut="; and" id="aff1">Modelling of Cognitive Processes,<institution>Berlin Institute of Technology</institution>
and Bernstein Center for Computational Neuroscience, 10587 Berlin,<country>Germany</country>
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<country xml:lang="fr">Allemagne</country>
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<author><name sortKey="Mamassian, Pascal" sort="Mamassian, Pascal" uniqKey="Mamassian P" first="Pascal" last="Mamassian">Pascal Mamassian</name>
<affiliation wicri:level="1"><nlm:aff id="aff2">Laboratoire Psychologie de la Perception,<institution>Université</institution>
<institution>Paris Descartes</institution>
and Centre National de la Recherche Scientifique, 75006 Paris,<country>France</country>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Flexible mechanisms underlie the evaluation of visual confidence</title>
<author><name sortKey="Barthelme, Simon" sort="Barthelme, Simon" uniqKey="Barthelme S" first="Simon" last="Barthelmé">Simon Barthelmé</name>
<affiliation wicri:level="1"><nlm:aff wicri:cut="; and" id="aff1">Modelling of Cognitive Processes,<institution>Berlin Institute of Technology</institution>
and Bernstein Center for Computational Neuroscience, 10587 Berlin,<country>Germany</country>
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<country xml:lang="fr">Allemagne</country>
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<author><name sortKey="Mamassian, Pascal" sort="Mamassian, Pascal" uniqKey="Mamassian P" first="Pascal" last="Mamassian">Pascal Mamassian</name>
<affiliation wicri:level="1"><nlm:aff id="aff2">Laboratoire Psychologie de la Perception,<institution>Université</institution>
<institution>Paris Descartes</institution>
and Centre National de la Recherche Scientifique, 75006 Paris,<country>France</country>
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<country xml:lang="fr">France</country>
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<series><title level="j">Proceedings of the National Academy of Sciences of the United States of America</title>
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<front><div type="abstract" xml:lang="en"><p>Visual processing is fraught with uncertainty: The visual system must attempt to estimate physical properties despite missing information and noisy mechanisms. Sometimes high visual uncertainty translates into lack of confidence in our visual perception: We are aware of not seeing well. The mechanism by which we achieve this awareness—how we assess our own visual uncertainty—is unknown, but its investigation is critical to our understanding of visual decision mechanisms. The simplest possibility is that the visual system relies on <italic>cues to uncertainty</italic>
, stimulus features usually associated with visual uncertainty, like blurriness. Probabilistic models of the brain suggest a more sophisticated mechanism, in which visual uncertainty is explicitly represented as probability distributions. In two separate experiments, observers performed a visual discrimination task in which confidence could be determined by the cues available (contrast and crowding or eccentricity and masking) or by their actual performance, the latter requiring a more sophisticated mechanism than cue monitoring. Results show that observers’ confidence followed performance rather than cues, indicating that the mechanisms underlying the evaluation of visual confidence are relatively complex. This result supports probabilistic models, which imply the existence of sophisticated mechanisms for evaluating uncertainty.</p>
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