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dc.contributor.authorReddy, Leila
dc.contributor.authorKanwisher, Nancy
dc.contributor.authorVanRullen, Rufin
dc.date.accessioned2012-04-13T17:31:47Z
dc.date.available2012-04-13T17:31:47Z
dc.date.issued2009-12
dc.date.submitted2009-07
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/70025
dc.description.abstractThe biased-competition theory accounts for attentional effects at the single-neuron level: It predicts that the neuronal response to simultaneously-presented stimuli is a weighted average of the response to isolated stimuli, and that attention biases the weights in favor of the attended stimulus. Perception, however, relies not on single neurons but on larger neuronal populations. The responses of such populations are in part reflected in large-scale multivoxel fMRI activation patterns. Because the pooling of neuronal responses into blood-oxygen-level-dependent signals is nonlinear, fMRI effects of attention need not mirror those observed at the neuronal level. Thus, to bridge the gap between neuronal responses and human perception, it is fundamental to understand attentional influences in large-scale multivariate representations of simultaneously-presented objects. Here, we ask how responses to simultaneous stimuli are combined in multivoxel fMRI patterns, and how attention affects the paired response. Objects from four categories were presented singly, or in pairs such that each category was attended, unattended, or attention was divided between the two. In a multidimensional voxel space, the response to simultaneously-presented categories was well described as a weighted average. The weights were biased toward the preferred category in category-selective regions. Consistent with single-unit reports, attention shifted the weights by ≈30% in favor of the attended stimulus. These findings extend the biased-competition framework to the realm of large-scale multivoxel brain activations.en_US
dc.description.sponsorshipNational Eye Institute (Grant EY 13455)en_US
dc.description.sponsorshipFondation pour la recherche médicaleen_US
dc.description.sponsorshipFyssen Foundationen_US
dc.description.sponsorshipFrance. Agence nationale de la recherche (Project ANR 06JCJC-0154)en_US
dc.description.sponsorshipEuropean Science Foundation (European Young Investigator Award)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.0907330106en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleAttention and Biased Competition in Multi-voxel Object Representationsen_US
dc.typeArticleen_US
dc.identifier.citationReddy, L., N. G. Kanwisher, and R. VanRullen. “Attention and Biased Competition in Multi-voxel Object Representations.” Proceedings of the National Academy of Sciences 106.50 (2009): 21447–21452.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.approverKanwisher, Nancy
dc.contributor.mitauthorKanwisher, Nancy
dc.relation.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsReddy, L.; Kanwisher, N. G.; VanRullen, R.en
dc.identifier.orcidhttps://orcid.org/0000-0003-3853-7885
mit.licensePUBLISHER_POLICYen_US


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