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描绘优秀与不良人脸识别器的特征性与整体性面部处理过程

Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers.

作者信息

Marzi Tessa, Gronchi Giorgio, Turano Maria Teresa, Giovannelli Fabio, Giganti Fiorenza, Rebai Mohamed, Viggiano Maria Pia

机构信息

Section of Psychology-Department of Neuroscience, Psychology, Drug Research and Child's Health (NEUROFARBA), University of Florence, 12 Via di San Salvi, 50135 Firenze, Italy.

Fondazione Turano Onlus, 00195 Roma, Italy.

出版信息

Behav Sci (Basel). 2021 May 13;11(5):75. doi: 10.3390/bs11050075.

Abstract

Individual abilities in face recognition (good versus bad recognizers) were explored by means of event-related potentials (ERPs). The adaptation response profile of the N170 component to whole faces, eyes and mouths was used in order to highlight the crucial role of individual abilities in identity repetition processes for unfamiliar faces. The main point of this study is to underline the importance of characterizing the performance (bad or good) of the participants and to show that behaviorally selected groups might reveal neural differences. Good recognizers showed selective right hemisphere N170 repetition effects for whole faces and not for features. On the contrary, bad recognizers showed a general repetition effect not specifically related to faces and more pronounced processing for features. These findings suggest a different contribution of holistic and featural analysis in bad and good performers. In conclusion, we propose that the N170 might be used as a tool to tease apart face encoding processes as a function of individual differences.

摘要

通过事件相关电位(ERP)探究了人脸识别方面的个体能力(优秀识别者与较差识别者)。使用N170成分对完整面部、眼睛和嘴巴的适应反应特征,以突出个体能力在不熟悉面孔身份重复过程中的关键作用。本研究的重点是强调描述参与者表现(差或好)的重要性,并表明行为学上选择的组可能揭示神经差异。优秀识别者对完整面部表现出选择性的右半球N170重复效应,而对特征则没有。相反,较差识别者表现出与面孔无特定关联的一般重复效应,且对特征的加工更为明显。这些发现表明,整体分析和特征分析在表现较差和优秀的参与者中发挥着不同的作用。总之,我们建议N170可作为一种工具,根据个体差异来区分面部编码过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d85/8153130/39246132ed26/behavsci-11-00075-g001.jpg

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