Department of Psychology, Stanford University, Stanford, California 94305; email:
Stanford Neurosciences Institute, Stanford University, Stanford, California 94305.
Annu Rev Vis Sci. 2017 Sep 15;3:167-196. doi: 10.1146/annurev-vision-102016-061214. Epub 2017 Jul 17.
Face perception is critical for normal social functioning and is mediated by a network of regions in the ventral visual stream. In this review, we describe recent neuroimaging findings regarding the macro- and microscopic anatomical features of the ventral face network, the characteristics of white matter connections, and basic computations performed by population receptive fields within face-selective regions composing this network. We emphasize the importance of the neural tissue properties and white matter connections of each region, as these anatomical properties may be tightly linked to the functional characteristics of the ventral face network. We end by considering how empirical investigations of the neural architecture of the face network may inform the development of computational models and shed light on how computations in the face network enable efficient face perception.
面部感知对于正常的社交功能至关重要,并且由腹侧视觉流中的区域网络介导。在这篇综述中,我们描述了关于腹侧面部网络的宏观和微观解剖特征、白质连接的特征以及组成该网络的选择性面部区域内的群体感受野执行的基本计算的最新神经影像学发现。我们强调了每个区域的神经组织特性和白质连接的重要性,因为这些解剖特性可能与腹侧面部网络的功能特征紧密相关。最后,我们考虑了对面部网络的神经结构的实证研究如何为计算模型的发展提供信息,并阐明面部网络中的计算如何使面部感知变得高效。