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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/103861


    Title: Holistic processing as measured in the composite task does not always go with right hemisphere processing in face perception
    Authors: 許樂山;Hsiao, Janet H.;Galmar, Bruno
    Contributors: 文學院法國語文學系
    Keywords: Asymmetry;Bias;Computational cognitive neuroscience;Correlation;Face processing;Face recognition;Hemispheres;Hemispheric lateralization;Holistic processing;Human behavior;Perception;Tasks
    Date: 2016-03-19
    Issue Date: 2026-04-23 11:38:49 (UTC+8)
    Publisher: Elsevier;Elsevier B.V
    Abstract: 摘要: Holistic processing has long been considered as a property of right hemisphere processing. Nevertheless, a counterexample was recently found: Chinese character recognition expertise is associated with reduced holistic processing (as measured in the composite task) and increased right hemisphere lateralization (as indicated by a left-side bias in character perception), revealing that they may be separate processes. Through computational modeling, in which we implemented a theory of hemispheric asymmetry in perception that posits a low spatial frequency bias in the right hemisphere and a high spatial frequency bias in the left hemisphere, we showed that when the face recognition task relied purely on featural information, there was a negative correlation between holistic processing and right hemisphere lateralization. In contrast, when the task relied purely on configural information, there was a positive correlation between holistic processing and right hemisphere lateralization. In another simulation with real face images, which naturally embed both featural and configural changes, we observed no correlation between holistic processing and right hemisphere lateralization. This result was replicated behaviorally with human participants. Together, these results suggest that holistic processing (as measured in the composite task) and right hemisphere lateralization are separate processes that can be influenced differentially by task requirements.
    出版者: Elsevier B.V
    出版日期: 2016-03-19
    出處: Neurocomputing (Amsterdam), 2016-03, Vol.182, p.165-177
    版權: 2015 Elsevier B.V.
    識別號: ISSN: 0925-2312
    識別號: ISSN: 1872-8286
    識別號: EISSN: 1872-8286
    識別號: DOI: 10.1016/j.neucom.2015.12.018
    Appears in Collections:[Department of French Language and Literature ] journal & Dissertation

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