Neural correlates of reliability-based cue weighting during multisensory integration
Identifieur interne : 001A72 ( Pmc/Checkpoint ); précédent : 001A71; suivant : 001A73Neural correlates of reliability-based cue weighting during multisensory integration
Auteurs : Christopher R. Fetsch [États-Unis] ; Alexandre Pouget [États-Unis, Suisse] ; Gregory C. Deangelis [États-Unis] ; Dora E. Angelaki [États-Unis]Source :
- Nature Neuroscience [ 1097-6256 ] ; 2011.
Abstract
Integration of multiple sensory cues is essential for precise and accurate perception and behavioral performance, yet the reliability of sensory signals can vary across modalities and viewing conditions. Human observers typically employ the optimal strategy of weighting each cue in proportion to its reliability, but the neural basis of this computation remains poorly understood. We trained monkeys to perform a heading discrimination task from visual and vestibular cues, varying cue reliability at random. Monkeys appropriately placed greater weight on the more reliable cue, and population decoding of neural responses in area MSTd nicely predicted behavioral cue weighting, including modest deviations from optimality. We further show that the mathematical combination of visual and vestibular inputs by single neurons is generally consistent with recent theories of optimal probabilistic computation in neural circuits. These results provide direct evidence for a neural mechanism mediating a simple and widespread form of statistical inference.
Url:
DOI: 10.1038/nn.2983
PubMed: 22101645
PubMed Central: 3398428
Affiliations:
- Suisse, États-Unis
- Canton de Genève, Missouri (État), Texas, État de New York
- Genève
- Université de Genève
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Neurosci.</journal-id><journal-title-group><journal-title>Nature Neuroscience</journal-title></journal-title-group><issn pub-type="ppub">1097-6256</issn><issn pub-type="epub">1546-1726</issn></journal-meta><article-meta><article-id pub-id-type="pmid">22101645</article-id><article-id pub-id-type="pmc">3398428</article-id><article-id pub-id-type="doi">10.1038/nn.2983</article-id><article-id pub-id-type="manuscript">NIHMS390356</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Neural correlates of reliability-based cue weighting during multisensory integration</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Fetsch</surname><given-names>Christopher R.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Pouget</surname><given-names>Alexandre</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>DeAngelis</surname><given-names>Gregory C.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref rid="FN2" ref-type="author-notes">*</xref></contrib><contrib contrib-type="author"><name><surname>Angelaki</surname><given-names>Dora E.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A4">4</xref><xref rid="FN2" ref-type="author-notes">*</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Anatomy and Neurobiology, Washington University School of Medicine, Saint Louis, MO 63110</aff><aff id="A2"><label>2</label>Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627</aff><aff id="A3"><label>3</label>Departement of Basic Neuroscience, University of Geneva, CH-1211 Geneva 4, Switzerland</aff><aff id="A4"><label>4</label>Departement of Neuroscience, Baylor College of Medicine, Houston, TX 77030</aff><author-notes><corresp id="FN1">Corresponding author: Christopher R. Fetsch, Ph.D., Current address:, University of Washington, Department of Physiology & Biophysics, 1705 NE Pacific St., HSB I-716, Box 357290, Seattle, WA 98195-7290, Tel: (206) 616-1965; Fax: (206) 543-1196, <email>crfetsch@u.washington.edu</email></corresp><fn id="FN2" fn-type="equal"><label>*</label><p>These authors contributed equally.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>2</day><month>7</month><year>2012</year></pub-date><pub-date pub-type="epub"><day>20</day><month>11</month><year>2011</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>1</month><year>2013</year></pub-date><volume>15</volume><issue>1</issue><fpage>146</fpage><lpage>154</lpage><abstract><p id="P1">Integration of multiple sensory cues is essential for precise and accurate perception and behavioral performance, yet the reliability of sensory signals can vary across modalities and viewing conditions. Human observers typically employ the optimal strategy of weighting each cue in proportion to its reliability, but the neural basis of this computation remains poorly understood. We trained monkeys to perform a heading discrimination task from visual and vestibular cues, varying cue reliability at random. Monkeys appropriately placed greater weight on the more reliable cue, and population decoding of neural responses in area MSTd nicely predicted behavioral cue weighting, including modest deviations from optimality. We further show that the mathematical combination of visual and vestibular inputs by single neurons is generally consistent with recent theories of optimal probabilistic computation in neural circuits. 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Deangelis</name><name sortKey="Pouget, Alexandre" sort="Pouget, Alexandre" uniqKey="Pouget A" first="Alexandre" last="Pouget">Alexandre Pouget</name></country><country name="Suisse"><region name="Canton de Genève"><name sortKey="Pouget, Alexandre" sort="Pouget, Alexandre" uniqKey="Pouget A" first="Alexandre" last="Pouget">Alexandre Pouget</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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