Efficient visual recalibration from either visual or haptic feedback: the importance of being wrong.
Identifieur interne : 001751 ( Ncbi/Merge ); précédent : 001750; suivant : 001752Efficient visual recalibration from either visual or haptic feedback: the importance of being wrong.
Auteurs : Wendy J. Adams [Royaume-Uni] ; Iona S. Kerrigan ; Erich W. GrafSource :
- The Journal of neuroscience : the official journal of the Society for Neuroscience [ 1529-2401 ] ; 2010.
English descriptors
- KwdEn :
- Adaptation, Physiological (physiology), Calibration, Discrimination Learning (physiology), Feedback, Sensory (physiology), Female, Humans, Learning (physiology), Male, Neuropsychological Tests (standards), Observer Variation, Photic Stimulation (methods), Physical Stimulation (methods), Touch Perception (physiology), Visual Perception (physiology).
- MESH :
- methods : Photic Stimulation, Physical Stimulation.
- physiology : Adaptation, Physiological, Discrimination Learning, Feedback, Sensory, Learning, Touch Perception, Visual Perception.
- standards : Neuropsychological Tests.
- Calibration, Female, Humans, Male, Observer Variation.
Abstract
The human visual system adapts to the changing statistics of its environment. For example, the light-from-above prior, an assumption that aids the interpretation of ambiguous shading information, can be modified by haptic (touch) feedback. Here we investigate the mechanisms that drive this adaptive learning. In particular, we ask whether visual information can be as effective as haptics in driving visual recalibration and whether increased information (feedback from multiple modalities) induces faster learning. During several hours' training, feedback encouraged observers to modify their existing light-from-above assumption. Feedback was one of the following: (1) haptic only, (2) haptic and stereoscopic (providing binocular shape information), or (3) stereoscopic only. Haptic-only feedback resulted in substantial learning; the perceived shape of shaded objects was modified in accordance with observers' new light priors. However, the addition of continuous visual feedback (condition 2) substantially reduced learning. When visual-only feedback was provided intermittently (condition 3), mimicking the time course of the haptic feedback of conditions 1 and 2, substantial learning returned. The intermittent nature of conflict information, or feedback, appears critical for learning. It causes an initial, erroneous percept to be corrected. Contrary to previous proposals, we found no particular advantage for cross-modal feedback. Instead, we suggest that an "oops" factor drives efficient learning; recalibration is prioritized when a mismatch exists between sequential representations of an object property. This "oops" factor appears important both across and within sensory modalities, suggesting a general principle for perceptual learning and recalibration.
DOI: 10.1523/JNEUROSCI.2749-10.2010
PubMed: 21048133
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Efficient visual recalibration from either visual or haptic feedback: the importance of being wrong.</title><author><name sortKey="Adams, Wendy J" sort="Adams, Wendy J" uniqKey="Adams W" first="Wendy J" last="Adams">Wendy J. Adams</name><affiliation wicri:level="1"><nlm:affiliation>School of Psychology, University of Southampton, Southampton SO17 1BJ, UK. w.adams@soton.ac.uk</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>School of Psychology, University of Southampton, Southampton SO17 1BJ</wicri:regionArea><wicri:noRegion>Southampton SO17 1BJ</wicri:noRegion></affiliation></author><author><name sortKey="Kerrigan, Iona S" sort="Kerrigan, Iona S" uniqKey="Kerrigan I" first="Iona S" last="Kerrigan">Iona S. Kerrigan</name></author><author><name sortKey="Graf, Erich W" sort="Graf, Erich W" uniqKey="Graf E" first="Erich W" last="Graf">Erich W. Graf</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="doi">10.1523/JNEUROSCI.2749-10.2010</idno><idno type="RBID">pubmed:21048133</idno><idno type="pmid">21048133</idno><idno type="wicri:Area/PubMed/Corpus">001012</idno><idno type="wicri:Area/PubMed/Curation">001012</idno><idno type="wicri:Area/PubMed/Checkpoint">000F62</idno><idno type="wicri:Area/Ncbi/Merge">001751</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Efficient visual recalibration from either visual or haptic feedback: the importance of being wrong.</title><author><name sortKey="Adams, Wendy J" sort="Adams, Wendy J" uniqKey="Adams W" first="Wendy J" last="Adams">Wendy J. Adams</name><affiliation wicri:level="1"><nlm:affiliation>School of Psychology, University of Southampton, Southampton SO17 1BJ, UK. w.adams@soton.ac.uk</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>School of Psychology, University of Southampton, Southampton SO17 1BJ</wicri:regionArea><wicri:noRegion>Southampton SO17 1BJ</wicri:noRegion></affiliation></author><author><name sortKey="Kerrigan, Iona S" sort="Kerrigan, Iona S" uniqKey="Kerrigan I" first="Iona S" last="Kerrigan">Iona S. Kerrigan</name></author><author><name sortKey="Graf, Erich W" sort="Graf, Erich W" uniqKey="Graf E" first="Erich W" last="Graf">Erich W. Graf</name></author></analytic><series><title level="j">The Journal of neuroscience : the official journal of the Society for Neuroscience</title><idno type="eISSN">1529-2401</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adaptation, Physiological (physiology)</term><term>Calibration</term><term>Discrimination Learning (physiology)</term><term>Feedback, Sensory (physiology)</term><term>Female</term><term>Humans</term><term>Learning (physiology)</term><term>Male</term><term>Neuropsychological Tests (standards)</term><term>Observer Variation</term><term>Photic Stimulation (methods)</term><term>Physical Stimulation (methods)</term><term>Touch Perception (physiology)</term><term>Visual Perception (physiology)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Photic Stimulation</term><term>Physical Stimulation</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Adaptation, Physiological</term><term>Discrimination Learning</term><term>Feedback, Sensory</term><term>Learning</term><term>Touch Perception</term><term>Visual Perception</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Neuropsychological Tests</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Calibration</term><term>Female</term><term>Humans</term><term>Male</term><term>Observer Variation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The human visual system adapts to the changing statistics of its environment. For example, the light-from-above prior, an assumption that aids the interpretation of ambiguous shading information, can be modified by haptic (touch) feedback. Here we investigate the mechanisms that drive this adaptive learning. In particular, we ask whether visual information can be as effective as haptics in driving visual recalibration and whether increased information (feedback from multiple modalities) induces faster learning. During several hours' training, feedback encouraged observers to modify their existing light-from-above assumption. Feedback was one of the following: (1) haptic only, (2) haptic and stereoscopic (providing binocular shape information), or (3) stereoscopic only. Haptic-only feedback resulted in substantial learning; the perceived shape of shaded objects was modified in accordance with observers' new light priors. However, the addition of continuous visual feedback (condition 2) substantially reduced learning. When visual-only feedback was provided intermittently (condition 3), mimicking the time course of the haptic feedback of conditions 1 and 2, substantial learning returned. The intermittent nature of conflict information, or feedback, appears critical for learning. It causes an initial, erroneous percept to be corrected. Contrary to previous proposals, we found no particular advantage for cross-modal feedback. Instead, we suggest that an "oops" factor drives efficient learning; recalibration is prioritized when a mismatch exists between sequential representations of an object property. This "oops" factor appears important both across and within sensory modalities, suggesting a general principle for perceptual learning and recalibration.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">21048133</PMID><DateCreated><Year>2010</Year><Month>11</Month><Day>04</Day></DateCreated><DateCompleted><Year>2010</Year><Month>12</Month><Day>08</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1529-2401</ISSN><JournalIssue CitedMedium="Internet"><Volume>30</Volume><Issue>44</Issue><PubDate><Year>2010</Year><Month>Nov</Month><Day>3</Day></PubDate></JournalIssue><Title>The Journal of neuroscience : the official journal of the Society for Neuroscience</Title><ISOAbbreviation>J. Neurosci.</ISOAbbreviation></Journal><ArticleTitle>Efficient visual recalibration from either visual or haptic feedback: the importance of being wrong.</ArticleTitle><Pagination><MedlinePgn>14745-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1523/JNEUROSCI.2749-10.2010</ELocationID><Abstract><AbstractText>The human visual system adapts to the changing statistics of its environment. For example, the light-from-above prior, an assumption that aids the interpretation of ambiguous shading information, can be modified by haptic (touch) feedback. Here we investigate the mechanisms that drive this adaptive learning. In particular, we ask whether visual information can be as effective as haptics in driving visual recalibration and whether increased information (feedback from multiple modalities) induces faster learning. During several hours' training, feedback encouraged observers to modify their existing light-from-above assumption. Feedback was one of the following: (1) haptic only, (2) haptic and stereoscopic (providing binocular shape information), or (3) stereoscopic only. Haptic-only feedback resulted in substantial learning; the perceived shape of shaded objects was modified in accordance with observers' new light priors. However, the addition of continuous visual feedback (condition 2) substantially reduced learning. When visual-only feedback was provided intermittently (condition 3), mimicking the time course of the haptic feedback of conditions 1 and 2, substantial learning returned. The intermittent nature of conflict information, or feedback, appears critical for learning. It causes an initial, erroneous percept to be corrected. Contrary to previous proposals, we found no particular advantage for cross-modal feedback. Instead, we suggest that an "oops" factor drives efficient learning; recalibration is prioritized when a mismatch exists between sequential representations of an object property. This "oops" factor appears important both across and within sensory modalities, suggesting a general principle for perceptual learning and recalibration.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Adams</LastName><ForeName>Wendy J</ForeName><Initials>WJ</Initials><AffiliationInfo><Affiliation>School of Psychology, University of Southampton, Southampton SO17 1BJ, UK. w.adams@soton.ac.uk</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kerrigan</LastName><ForeName>Iona S</ForeName><Initials>IS</Initials></Author><Author ValidYN="Y"><LastName>Graf</LastName><ForeName>Erich W</ForeName><Initials>EW</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Neurosci</MedlineTA><NlmUniqueID>8102140</NlmUniqueID><ISSNLinking>0270-6474</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000222">Adaptation, Physiological</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D002138">Calibration</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004193">Discrimination Learning</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D056228">Feedback, Sensory</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007858">Learning</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009483">Neuropsychological Tests</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000592">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015588">Observer Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010775">Photic Stimulation</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010812">Physical Stimulation</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055698">Touch Perception</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014796">Visual Perception</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>11</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>11</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>12</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">30/44/14745</ArticleId><ArticleId IdType="doi">10.1523/JNEUROSCI.2749-10.2010</ArticleId><ArticleId IdType="pubmed">21048133</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><noCountry><name sortKey="Graf, Erich W" sort="Graf, Erich W" uniqKey="Graf E" first="Erich W" last="Graf">Erich W. Graf</name><name sortKey="Kerrigan, Iona S" sort="Kerrigan, Iona S" uniqKey="Kerrigan I" first="Iona S" last="Kerrigan">Iona S. Kerrigan</name></noCountry><country name="Royaume-Uni"><noRegion><name sortKey="Adams, Wendy J" sort="Adams, Wendy J" uniqKey="Adams W" first="Wendy J" last="Adams">Wendy J. Adams</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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