Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152281
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dc.contributor.authorYing, Haojiangen_US
dc.contributor.authorBurns J., Edwin J.en_US
dc.contributor.authorChoo, Amanda M.en_US
dc.contributor.authorXu, Hongen_US
dc.date.accessioned2021-08-05T01:06:43Z-
dc.date.available2021-08-05T01:06:43Z-
dc.date.issued2020-
dc.identifier.citationYing, H., Burns J., E. J., Choo, A. M. & Xu, H. (2020). Temporal and spatial ensemble statistics are formed by distinct mechanisms. Cognition, 195, 104128-. https://dx.doi.org/10.1016/j.cognition.2019.104128en_US
dc.identifier.issn0010-0277en_US
dc.identifier.urihttps://hdl.handle.net/10356/152281-
dc.description.abstractOur brains can extract a summary representation of the facial characteristics provided by a group of faces. To date, there has been a lack of clarity as to what calculations the brain is actually performing during this ensemble perception. For example, does ensemble processing average the fiducial points (e.g., distance between the eyes, width of the mouth) and surface characteristics (e.g., skin tone) of a set of faces in a fashion that produces what we call a ‘morph average’ face from the group? Or does ensemble perception extract a general ‘gist average’ of the face set (e.g., these faces are unattractive)? Here, we take advantage of the fact that the ‘morph average’ face derived from a group of faces is more attractive than the ‘gist average’. If ensemble perception is performing morph averaging, then the adaptation aftereffects elicited by a morphed average face from a group should be equivalent to those elicited by the group. By contrast, if ensemble perception reflects gist averaging, then the aftereffects produced by the group should be distinct from those elicited by the more attractive morphed average face. In support of the morph averaging hypothesis, we show that the adaptation aftereffects derived via temporal ensemble perception of a group of faces are equal to those produced by the group's morphed average face. Moreover, these effects increase as a linear function of increasing attractiveness in the underlying group. We also reveal that spatial ensemble processing is not equal to temporal ensemble processing, but instead reflects the ‘gist’ attractiveness of the group of faces; e.g., these faces are unattractive. Finally, gist averaging of a spatially presented group of faces is abolished when a temporal manipulation is additionally employed; under these circumstances, morph averaging becomes apparent again. In summary, we have shown for the first time that temporal and spatial ensemble statistics reflect qualitatively different perceptual calculations.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofCognitionen_US
dc.rights© 2019 Elsevier B.V. All rights reserved.en_US
dc.subjectSocial sciences::Psychologyen_US
dc.titleTemporal and spatial ensemble statistics are formed by distinct mechanismsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Social Sciencesen_US
dc.identifier.doi10.1016/j.cognition.2019.104128-
dc.identifier.pmid31731114-
dc.identifier.scopus2-s2.0-85074670671-
dc.identifier.volume195en_US
dc.identifier.spage104128en_US
dc.subject.keywordsRapid Serial Visual Presentationen_US
dc.subject.keywordsAdaptationen_US
dc.description.acknowledgementSupported by Nanyang Technological University Research Scholarship (HY), Undergraduate Research Experience on Campus (AC), College of Arts, Humanities and Social Sciences Incentive Scheme (HX), and Ministry of Education - Singapore Academic Research Fund (AcRF) Tier 1 (HX). H. Ying is also supported by the Ministry of Education - China Project of Humanities and Social Sciences (19YJC190030), the City & University strategy-Soochow University Leading Research Team in Humanities and Social Sciences. Parts of this research (data from Exp 1) were presented at the Annual Meeting of Visual Science Society (VSS), May 2017, St. Pete Beach, Florida. The research reported here forms part of H. Ying's Ph.D. thesis at Nanyang Technological University.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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