Since its discovery, the face-processing network in the brain of the macaque monkey has emerged as a model system that allowed for major neural mechanisms of face recognition to be identified - with implications for object recognition at large. Populations of face cells encode faces through broad tuning curves, whose shapes change over time. Face representations differ qualitatively across faces areas, and we not only understand the global organization of these specializations, but also some of the transformations between face areas, both feed-forward and feed-back, and the computational principles behind face representations and transformations. Facial information is combined with physical features and mnemonic features in extensions of the core network, which forms an early part of the primate social brain.

中文翻译：

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面部处理的神经机制：细胞，区域，网络和模型。

自发现以来，猕猴大脑中的面部处理网络已成为一种模型系统，可以识别面部识别的主要神经机制，这对整个物体的识别具有重要意义。脸部细胞群体通过宽广的调谐曲线对脸部进行编码，其形状会随着时间而变化。人脸表示在各个人脸区域之间在质量上存在差异，我们不仅了解这些专业的全球组织，而且还了解人脸区域之间的一些变换（前馈和反馈）以及人脸表示和变换背后的计算原理。面部信息在核心网络的扩展部分中与物理特征和助记符特征结合在一起，形成了灵长类动物大脑的早期部分。