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dc.contributor.authorOr, Charles C.-F.en_US
dc.contributor.authorRetter, Talia L.en_US
dc.contributor.authorRossion, Brunoen_US
dc.identifier.citationOr, C. C., Retter, T. L. & Rossion, B. (2021). Does automatic human face categorization depend on head orientation?. Cortex, 141, 94-111.
dc.description.abstractWhether human categorization of visual stimuli as faces is optimal for full-front views, best revealing diagnostic features but lacking depth cues, remains largely unknown. To address this question, we presented 16 human observers with unsegmented natural images of different living and non-living objects at a fast rate (f = 12 Hz), with natural face images appearing at f/9 = 1.33 Hz. Faces posing all full-front or at ¾ side view angles appeared in separate sequences. Robust frequency-tagged 1.33 Hz (and harmonic) occipito-temporal electroencephalographic (EEG) responses reflecting face-selective neural activity did not differ in overall amplitude between full-front and ¾ side views. Despite this, alternating between full-front and ¾ side views within a sequence led to significant responses at specific harmonics of .67 Hz (f/18), objectively isolating view-dependent face-selective responses over occipito-temporal regions. Critically, a time-domain analysis showed that these view-dependent face-selective responses reflected only an earlier response to full-front than ¾ side views by 8-13 ms. Overall, these findings indicate that the face-selective neural representation is as robust for ¾ side faces as for full-front faces in the human brain, but full-front views provide a slightly earlier processing-time advantage as compared to rotated face views.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.relation2019- T1-001-060en_US
dc.relation2018-T1-001- 069en_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.subjectSocial sciences::Psychologyen_US
dc.titleDoes automatic human face categorization depend on head orientation?en_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Social Sciencesen_US
dc.subject.keywordsFace Categorizationen_US
dc.subject.keywordsHead Orientationen_US
dc.description.acknowledgementThis work was supported by Singapore MOE AcRF Grant 2019-T1-001-060, NTU HASS Start-Up Grant, and F.R.S.-FNRS post-doctoral fellowship (FC 2773) to C. O., AcRF Grant 2018-T1-001-069 to C. O. & B. R., F.R.S.-FNRS doctoral grant to T. L. R. (FC 7159), and ERC grant to B. R. (facessvep 284025).en_US
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