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dc.contributor.authorGilad-Gutnick, Sharon
dc.contributor.authorHarmatz, Elia Samuel
dc.contributor.authorTsourides, Kleovoulos
dc.contributor.authorYovel, Galit
dc.contributor.authorSinha, Pawan
dc.date.accessioned2020-05-04T15:07:35Z
dc.date.available2020-05-04T15:07:35Z
dc.date.issued2018-05
dc.identifier.issn0898-929X
dc.identifier.issn1530-8898
dc.identifier.urihttps://hdl.handle.net/1721.1/124989
dc.description.abstractWe report here an unexpectedly robust ability of healthy human individuals (n = 40) to recognize extremely distorted needle-like facial images, challenging the well-entrenched notion that veridical spatial configuration is necessary for extracting facial identity. In face identification tasks of parametrically compressed internal and external features, we found that the sum of performances on each cue falls significantly short of performance on full faces, despite the equal visual information available from both measures (with full faces essentially being a superposition of internal and external features). We hypothesize that this large deficit stems from the use of positional information about how the internal features are positioned relative to the external features. To test this, we systematically changed the relations between internal and external features and found preferential encoding of vertical but not horizontal spatial relationships in facial representations (n = 20). Finally, we employ magnetoencephalography imaging (n = 20) to demonstrate a close mapping between the behavioral psychometric curve and the amplitude of the M250 face familiarity, but not M170 face-sensitive evoked response field component, providing evidence that the M250 can be modulated by faces that are perceptually identifiable, irrespective of extreme distortions to the face’s veridical configuration. We theorize that the tolerance to compressive distortions has evolved from the need to recognize faces across varying viewpoints. Our findings help clarify the important, but poorly defined, concept of facial configuration and also enable an association between behavioral performance and previously reported neural correlates of face perception.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R01EY02051)en_US
dc.language.isoen
dc.publisherMIT Press - Journalsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1162/jocn_a_01265en_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.sourceMIT Pressen_US
dc.subjectCognitive Neuroscienceen_US
dc.titleRecognizing Facial Sliversen_US
dc.typeArticleen_US
dc.identifier.citationGilad-Gutnick, Sharon et al. "Recognizing Facial Slivers." Journal of Cognitive Neuroscience 30, 7 (July 2018): 951-962 © 2018 Massachusetts Institute of Technology.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalJournal of Cognitive Neuroscienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-10-08T16:31:05Z
dspace.date.submission2019-10-08T16:31:10Z
mit.journal.volume30en_US
mit.journal.issue7en_US
mit.metadata.statusComplete


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