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人类识别面孔身份的神经机制。

The neural mechanisms for the recognition of face identity in humans.

机构信息

Department of Psychology, Harvard University Cambridge, MA, USA ; Center for Mind/Brain Sciences, University of Trento Trento, Italy.

出版信息

Front Psychol. 2014 Jun 26;5:672. doi: 10.3389/fpsyg.2014.00672. eCollection 2014.

DOI:10.3389/fpsyg.2014.00672
PMID:25018745
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4072087/
Abstract

Every day we encounter dozens of people, and in order to interact with them appropriately we need to recognize their identity. The face is a crucial source of information to recognize a person's identity. However, recognizing the identity of a face is challenging because it requires distinguishing between very similar images (e.g., the front views of two different faces) while categorizing very different images (e.g., a front view and a profile) as the same person. Neuroimaging has the whole-brain coverage needed to investigate where representations of face identity are encoded, but it is limited in terms of spatial and temporal resolution. In this article, we review recent neuroimaging research that attempted to investigate the representation of face identity, the challenges it faces, and the proposed solutions, to conclude that given the current state of the evidence the right anterior temporal lobe is the most promising candidate region for the representation of face identity.

摘要

我们每天都会遇到数十个人,为了与他们进行适当的互动,我们需要识别他们的身份。面部是识别一个人身份的关键信息来源。然而,识别面部的身份具有挑战性,因为它需要区分非常相似的图像(例如,两个人脸的正面视图),同时将非常不同的图像(例如,正面视图和侧视图)归类为同一个人。神经影像学具有研究面部身份表示的全脑覆盖范围,但在空间和时间分辨率方面存在限制。在本文中,我们回顾了最近的神经影像学研究,这些研究试图探讨面部身份的表示、它所面临的挑战以及提出的解决方案,得出的结论是,根据目前的证据状态,右前颞叶是面部身份表示的最有希望的候选区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b814/4072087/e2afb216e125/fpsyg-05-00672-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b814/4072087/e2afb216e125/fpsyg-05-00672-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b814/4072087/e2afb216e125/fpsyg-05-00672-g001.jpg

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FaReT: A free and open-source toolkit of three-dimensional models and software to study face perception.FaReT:一个免费的开源工具包,包含三维模型和软件,用于研究面部感知。
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