Biased competition in semantic representation during natural visual search

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buir.contributor.authorShahdloo, Mohammad
buir.contributor.authorÇelik, Emin
buir.contributor.authorÇukur, Tolga
dc.citation.epage116383-10en_US
dc.citation.spage116383-1en_US
dc.citation.volumeNumber216en_US
dc.contributor.authorShahdloo, Mohammaden_US
dc.contributor.authorÇelik, Eminen_US
dc.contributor.authorÇukur, Tolgaen_US
dc.date.accessioned2020-02-07T12:19:30Z
dc.date.available2020-02-07T12:19:30Z
dc.date.issued2020
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentInterdisciplinary Program in Neuroscience (NEUROSCIENCE)en_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.descriptionOpen accessen_US
dc.description.abstractHumans divide their attention among multiple visual targets in daily life, and visual search can get more difficult as the number of targets increases. The biased competition hypothesis (BC) has been put forth as an explanation for this phenomenon. BC suggests that brain responses during divided attention are a weighted linear combination of the responses during search for each target individually. This combination is assumed to be biased by the intrinsic selectivity of cortical regions. Yet, it is unknown whether attentional modulation of semantic representations are consistent with this hypothesis when viewing cluttered, dynamic natural scenes. Here, we investigated whether BC accounts for semantic representation during natural category-based visual search. Subjects viewed natural movies, and their whole-brain BOLD responses were recorded while they attended to “humans”, “vehicles” (i.e. single-target attention tasks), or “both humans and vehicles” (i.e. divided attention) in separate runs. We computed a voxelwise linearity index to assess whether semantic representation during divided attention can be modeled as a weighted combination of representations during the two single-target attention tasks. We then examined the bias in weights of this linear combination across cortical ROIs. We find that semantic representations of both target and nontarget categories during divided attention are linear to a substantial degree, and that they are biased toward the preferred target in category-selective areas across ventral temporal cortex. Taken together, these results suggest that the biased competition hypothesis is a compelling account for attentional modulation of semantic representations.en_US
dc.identifier.doi10.1016/j.neuroimage.2019.116383en_US
dc.identifier.issn1053-8119
dc.identifier.urihttp://hdl.handle.net/11693/53180
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttps://doi.org/10.1016/j.neuroimage.2019.116383en_US
dc.source.titleNeuroImageen_US
dc.subjectfMRIen_US
dc.subjectVoxelwise modelingen_US
dc.subjectAttentionen_US
dc.subjectNatural moviesen_US
dc.subjectBiased-competitionen_US
dc.subjectSemantic representationen_US
dc.titleBiased competition in semantic representation during natural visual searchen_US
dc.typeArticleen_US

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Department of Electrical and Electronics Engineering
Aysel Sabuncu Brain Research Center (BAM)
National Magnetic Resonance Research Center (UMRAM)