Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex.
Identifieur interne : 004011 ( Ncbi/Merge ); précédent : 004010; suivant : 004012Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex.
Auteurs : Goker Erdogan ; Quanjing Chen ; Frank E. Garcea ; Bradford Z. Mahon ; Robert A. JacobsSource :
- Journal of cognitive neuroscience [ 1530-8898 ] ; 2016.
Abstract
The format of high-level object representations in temporal-occipital cortex is a fundamental and as yet unresolved issue. Here we use fMRI to show that human lateral occipital cortex (LOC) encodes novel 3-D objects in a multisensory and part-based format. We show that visual and haptic exploration of objects leads to similar patterns of neural activity in human LOC and that the shared variance between visually and haptically induced patterns of BOLD contrast in LOC reflects the part structure of the objects. We also show that linear classifiers trained on neural data from LOC on a subset of the objects successfully predict a novel object based on its component part structure. These data demonstrate a multisensory code for object representations in LOC that specifies the part structure of objects.
DOI: 10.1162/jocn_a_00937
PubMed: 26918587
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Garcea</name><affiliation><nlm:affiliation>University of Rochester.</nlm:affiliation><wicri:noCountry code="no comma">University of Rochester.</wicri:noCountry></affiliation></author><author><name sortKey="Mahon, Bradford Z" sort="Mahon, Bradford Z" uniqKey="Mahon B" first="Bradford Z" last="Mahon">Bradford Z. Mahon</name><affiliation><nlm:affiliation>University of Rochester.</nlm:affiliation><wicri:noCountry code="no comma">University of Rochester.</wicri:noCountry></affiliation></author><author><name sortKey="Jacobs, Robert A" sort="Jacobs, Robert A" uniqKey="Jacobs R" first="Robert A" last="Jacobs">Robert A. Jacobs</name><affiliation><nlm:affiliation>University of Rochester.</nlm:affiliation><wicri:noCountry code="no comma">University of Rochester.</wicri:noCountry></affiliation></author></analytic><series><title level="j">Journal of cognitive neuroscience</title><idno type="eISSN">1530-8898</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The format of high-level object representations in temporal-occipital cortex is a fundamental and as yet unresolved issue. Here we use fMRI to show that human lateral occipital cortex (LOC) encodes novel 3-D objects in a multisensory and part-based format. We show that visual and haptic exploration of objects leads to similar patterns of neural activity in human LOC and that the shared variance between visually and haptically induced patterns of BOLD contrast in LOC reflects the part structure of the objects. We also show that linear classifiers trained on neural data from LOC on a subset of the objects successfully predict a novel object based on its component part structure. These data demonstrate a multisensory code for object representations in LOC that specifies the part structure of objects.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">26918587</PMID><DateCreated><Year>2016</Year><Month>04</Month><Day>30</Day></DateCreated><DateRevised><Year>2016</Year><Month>04</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1530-8898</ISSN><JournalIssue CitedMedium="Internet"><Volume>28</Volume><Issue>6</Issue><PubDate><Year>2016</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Journal of cognitive neuroscience</Title><ISOAbbreviation>J Cogn Neurosci</ISOAbbreviation></Journal><ArticleTitle>Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex.</ArticleTitle><Pagination><MedlinePgn>869-81</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1162/jocn_a_00937</ELocationID><Abstract><AbstractText>The format of high-level object representations in temporal-occipital cortex is a fundamental and as yet unresolved issue. Here we use fMRI to show that human lateral occipital cortex (LOC) encodes novel 3-D objects in a multisensory and part-based format. We show that visual and haptic exploration of objects leads to similar patterns of neural activity in human LOC and that the shared variance between visually and haptically induced patterns of BOLD contrast in LOC reflects the part structure of the objects. We also show that linear classifiers trained on neural data from LOC on a subset of the objects successfully predict a novel object based on its component part structure. 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Garcea</name><name sortKey="Jacobs, Robert A" sort="Jacobs, Robert A" uniqKey="Jacobs R" first="Robert A" last="Jacobs">Robert A. Jacobs</name><name sortKey="Mahon, Bradford Z" sort="Mahon, Bradford Z" uniqKey="Mahon B" first="Bradford Z" last="Mahon">Bradford Z. Mahon</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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