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将面孔作为概念来学习可通过激活社会脑网络来提高人脸识别能力。

Learning Faces as Concepts Improves Face Recognition by Engaging the Social Brain Network.

作者信息

Shoham Adva, Kliger Libi, Yovel Galit

机构信息

The School of Psychological Sciences, Tel Aviv University, Israel.

Sagol School of Neuroscience, Tel Aviv University, Israel.

出版信息

Soc Cogn Affect Neurosci. 2021 Aug 17;17(3):290-9. doi: 10.1093/scan/nsab096.

Abstract

Face recognition benefits from associating social information to faces during learning. This has been demonstrated by better recognition for faces that underwent social than perceptual evaluations. Two hypotheses were proposed to account for this effect. According to the feature-elaboration hypothesis, social-evaluations encourage elaborated processing of perceptual information from faces (Winograd, 1981). According to a social-representation hypothesis, social-evaluations convert faces from a perceptual representation to a socially meaningful representation of a person. To decide between these two hypotheses, we ran a functional MRI study in which we functionally localized the posterior face-selective brain areas and social processing brain areas. Participants watched video-clips of young adults and were asked to study them for a recognition test, while making either perceptual evaluations or social evaluations about them. During the fMRI scan, participants performed an old/new recognition test. Behavioural findings replicated better recognition for faces that underwent social then perceptual evaluations. fMRI results showed higher response during the recognition phase for the faces that were learned socially than perceptually, in the social-brain network but not in posterior face-selective network. These results support the social-representation hypothesis and highlight the important role that social processing mechanisms, rather than purely perceptual processes, play in face recognition.

摘要

人脸识别得益于在学习过程中将社会信息与面孔相关联。这一点已通过对接受社会评价而非感知评价的面孔有更好的识别得到证明。提出了两种假设来解释这种效应。根据特征细化假设,社会评价鼓励对面孔的感知信息进行精细化处理(维诺格拉德,1981年)。根据社会表征假设,社会评价将面孔从感知表征转换为对一个人的具有社会意义的表征。为了在这两种假设之间做出抉择,我们进行了一项功能性磁共振成像研究,在该研究中我们对后脑面孔选择性脑区和社会处理脑区进行了功能定位。参与者观看了年轻人的视频片段,并被要求对其进行学习以便进行识别测试,同时对他们进行感知评价或社会评价。在功能性磁共振成像扫描期间,参与者进行了新旧识别测试。行为学研究结果重现了对接受社会评价而非感知评价的面孔有更好的识别。功能性磁共振成像结果显示,在社会脑网络中,与通过感知方式学习的面孔相比,通过社会方式学习的面孔在识别阶段有更高的反应,但在后脑面孔选择性网络中并非如此。这些结果支持了社会表征假设,并突出了社会处理机制而非纯粹的感知过程在人脸识别中所起的重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6999/8881637/0b08af17bde5/nsab096f1.jpg

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