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Neural systems for the recognition of facial expressions of basic emotions Mitsuru Kawamura 1 , Atsunobu Suzuki 2 1Department of Neurology, Showa University School of Medicine 2Graduate School of Arts and Sciences, The University of Tokyo Keyword: 表情認知 , 基本情動 , マルチシステム説 , シミュレーション説 pp.116-126
Published Date 2006/2/10
DOI https://doi.org/10.11477/mf.1431100026
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Facial expression recognition, or inference on others’emotional states from facial expressions, is one of the basic mental skills that enable successful social interaction. There emerges interesting but controversial theories on neuro-cognitive mechanisms for facial expression recognition:multi-systems theory and simulation theory. The multi-systems theory asserts that neural systems for facial expression recognition are not unitary but contain multiple, dissociable substrates that are dedicated to the recognition of specific emotions. According to the simulation theory, when observing the facial expressions of another person, the analogous emotional state is generated and experienced(i.e. simulated)in the observer himself/herself.“Reverse”attribution of his/her simulated emotion back to the expresser contributes to facial expression recognition. A common, central tenet that underlies both theories is that facial expression recognition may not end with visual analyses of complex objects(i.e. faces)but may further involve whole emotional processes including the generation and experience of emotional states. In this review article, we will introduce some new perspectives in the study of neural systems for facial expression recognition by examining the recent literature on the two debatable theories.


Copyright © 2006, Igaku-Shoin Ltd. All rights reserved.

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電子版ISSN 1882-1243 印刷版ISSN 0001-8724 医学書院

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