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面部处理系统:从神经元到现实世界的社会感知

Face Processing Systems: From Neurons to Real-World Social Perception.

作者信息

Freiwald Winrich, Duchaine Bradley, Yovel Galit

机构信息

The Rockefeller University, New York, NY 10065; email:

Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755.

出版信息

Annu Rev Neurosci. 2016 Jul 8;39:325-46. doi: 10.1146/annurev-neuro-070815-013934.

Abstract

Primate face processing depends on a distributed network of interlinked face-selective areas composed of face-selective neurons. In both humans and macaques, the network is divided into a ventral stream and a dorsal stream, and the functional similarities of the areas in humans and macaques indicate they are homologous. Neural correlates for face detection, holistic processing, face space, and other key properties of human face processing have been identified at the single neuron level, and studies providing causal evidence have established firmly that face-selective brain areas are central to face processing. These mechanisms give rise to our highly accurate familiar face recognition but also to our error-prone performance with unfamiliar faces. This limitation of the face system has important implications for consequential situations such as eyewitness identification and policing.

摘要

灵长类动物的面部处理依赖于一个由面部选择性神经元组成的相互关联的面部选择性区域的分布式网络。在人类和猕猴中,该网络都分为腹侧流和背侧流,并且人类和猕猴中这些区域的功能相似性表明它们是同源的。在单神经元水平上已经确定了面部检测、整体处理、面部空间以及人类面部处理的其他关键属性的神经关联,并且提供因果证据的研究已经牢固地确立了面部选择性脑区是面部处理的核心。这些机制不仅使我们能够高度准确地识别熟悉的面孔,也导致我们在识别不熟悉的面孔时容易出错。面部系统的这种局限性对诸如目击证人识别和治安等重要情况具有重要影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ecd/5345271/39953ffaff65/nihms850375f1.jpg

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