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使用流式细胞术追踪对面部表情识别的神经特化:评 Waller 等人(2020 年)。

Using FACS to trace the neural specializations underlying the recognition of facial expressions: A commentary on Waller et al. (2020).

机构信息

The Laboratory of Brain and Cognition, The National Institute of Mental Health, United States.

The Laboratory of Brain and Cognition, The National Institute of Mental Health, United States.

出版信息

Neurosci Biobehav Rev. 2021 Jan;120:75-77. doi: 10.1016/j.neubiorev.2020.10.016. Epub 2020 Nov 20.

DOI:10.1016/j.neubiorev.2020.10.016
PMID:33227326
Abstract

In the recent review by Waller et al. (2020) the authors discuss how the Facial Action Coding System (FACS) can be used to study the evolution of facial behaviors. This is a timely and thought-provoking review which highlights the numerous ways in which FACS could be used to compare the mechanisms responsible for the production of facial behaviors across species. We propose that FACS could also be used to study the recognition of facial behaviors in nonhuman subjects where one of the key challenges is finding suitable stimuli that convey different emotions. By using FACS-rated images in awake neuroimaging experiments, researchers could accurately identify the brain mechanisms responsible for recognizing expressions across mammalian species. This approach would reveal neural homologs and deepen our understanding of how nonverbal social communication has evolved.

摘要

在 Waller 等人(2020 年)的近期综述中,作者讨论了面部动作编码系统 (FACS) 如何用于研究面部行为的进化。这是一篇及时且发人深省的综述,强调了 FACS 可以用于比较跨物种产生面部行为的机制的许多方法。我们提出,FACS 也可以用于研究非人类受试者对面部行为的识别,其中一个关键挑战是找到传达不同情绪的合适刺激。通过在清醒神经影像学实验中使用 FACS 评分图像,研究人员可以准确识别负责识别哺乳动物物种表情的大脑机制。这种方法将揭示神经同源物,并加深我们对非言语社会交流如何进化的理解。

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Cereb Cortex. 2024 Jun 4;34(6). doi: 10.1093/cercor/bhae245.
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Analysis of convolutional neural networks reveals the computational properties essential for subcortical processing of facial expression.分析卷积神经网络揭示了对面部表情的皮质下处理至关重要的计算特性。
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A shared mechanism for facial expression in human faces and face pareidolia.人类面孔和面孔错觉中的面部表情共享机制。
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