Multisensory Causal Inference in the Brain
Identifieur interne : 000717 ( Main/Exploration ); précédent : 000716; suivant : 000718Multisensory Causal Inference in the Brain
Auteurs : Christoph Kayser [Royaume-Uni] ; Ladan Shams [États-Unis]Source :
- PLoS Biology [ 1544-9173 ] ; 2015.
Abstract
At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object, how best to integrate them. Recent behavioural studies suggest that the human brain solves these problems using optimal probabilistic inference, known as Bayesian causal inference. However, how and where the underlying computations are carried out in the brain have remained unknown. By combining neuroimaging-based decoding techniques and computational modelling of behavioural data, a new study now sheds light on how multisensory causal inference maps onto specific brain areas. The results suggest that the complexity of neural computations increases along the visual hierarchy and link specific components of the causal inference process with specific visual and parietal regions.
Url:
DOI: 10.1371/journal.pbio.1002075
PubMed: 25710476
PubMed Central: 4339834
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Multisensory Causal Inference in the Brain</title><author><name sortKey="Kayser, Christoph" sort="Kayser, Christoph" uniqKey="Kayser C" first="Christoph" last="Kayser">Christoph Kayser</name><affiliation wicri:level="4"><nlm:aff id="aff001"><addr-line>Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom</addr-line></nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Institute of Neuroscience and Psychology, University of Glasgow, Glasgow</wicri:regionArea><orgName type="university">Université de Glasgow</orgName><placeName><settlement type="city">Glasgow</settlement><region type="country">Écosse</region></placeName></affiliation></author><author><name sortKey="Shams, Ladan" sort="Shams, Ladan" uniqKey="Shams L" first="Ladan" last="Shams">Ladan Shams</name><affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Departments of Psychology and BioEngineering and the Interdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, California, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Departments of Psychology and BioEngineering and the Interdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25710476</idno><idno type="pmc">4339834</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339834</idno><idno type="RBID">PMC:4339834</idno><idno type="doi">10.1371/journal.pbio.1002075</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000608</idno><idno type="wicri:Area/Pmc/Curation">000608</idno><idno type="wicri:Area/Pmc/Checkpoint">000444</idno><idno type="wicri:Area/Ncbi/Merge">003713</idno><idno type="wicri:Area/Ncbi/Curation">003713</idno><idno type="wicri:Area/Ncbi/Checkpoint">003713</idno><idno type="wicri:doubleKey">1544-9173:2015:Kayser C:multisensory:causal:inference</idno><idno type="wicri:Area/Main/Merge">000717</idno><idno type="wicri:Area/Main/Curation">000717</idno><idno type="wicri:Area/Main/Exploration">000717</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Multisensory Causal Inference in the Brain</title><author><name sortKey="Kayser, Christoph" sort="Kayser, Christoph" uniqKey="Kayser C" first="Christoph" last="Kayser">Christoph Kayser</name><affiliation wicri:level="4"><nlm:aff id="aff001"><addr-line>Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom</addr-line></nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Institute of Neuroscience and Psychology, University of Glasgow, Glasgow</wicri:regionArea><orgName type="university">Université de Glasgow</orgName><placeName><settlement type="city">Glasgow</settlement><region type="country">Écosse</region></placeName></affiliation></author><author><name sortKey="Shams, Ladan" sort="Shams, Ladan" uniqKey="Shams L" first="Ladan" last="Shams">Ladan Shams</name><affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Departments of Psychology and BioEngineering and the Interdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, California, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Departments of Psychology and BioEngineering and the Interdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author></analytic><series><title level="j">PLoS Biology</title><idno type="ISSN">1544-9173</idno><idno type="eISSN">1545-7885</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object, how best to integrate them. Recent behavioural studies suggest that the human brain solves these problems using optimal probabilistic inference, known as Bayesian causal inference. However, how and where the underlying computations are carried out in the brain have remained unknown. By combining neuroimaging-based decoding techniques and computational modelling of behavioural data, a new study now sheds light on how multisensory causal inference maps onto specific brain areas. The results suggest that the complexity of neural computations increases along the visual hierarchy and link specific components of the causal inference process with specific visual and parietal regions.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Stein, Be" uniqKey="Stein B">BE Stein</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rohe, T" uniqKey="Rohe T">T Rohe</name></author><author><name sortKey="Noppeney, U" uniqKey="Noppeney U">U Noppeney</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Angelaki, De" uniqKey="Angelaki D">DE Angelaki</name></author><author><name sortKey="Gu, Y" uniqKey="Gu Y">Y Gu</name></author><author><name sortKey="Deangelis, Gc" uniqKey="Deangelis G">GC DeAngelis</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ernst, Mo" uniqKey="Ernst M">MO Ernst</name></author><author><name sortKey="Bulthoff, 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O'Doherty</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Royaume-Uni</li><li>États-Unis</li></country><region><li>Californie</li><li>Écosse</li></region><settlement><li>Glasgow</li></settlement><orgName><li>Université de Glasgow</li></orgName></list><tree><country name="Royaume-Uni"><region name="Écosse"><name sortKey="Kayser, Christoph" sort="Kayser, Christoph" uniqKey="Kayser C" first="Christoph" last="Kayser">Christoph Kayser</name></region></country><country name="États-Unis"><region name="Californie"><name sortKey="Shams, Ladan" sort="Shams, Ladan" uniqKey="Shams L" first="Ladan" last="Shams">Ladan Shams</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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