Disentangling the Representation of Identity from Head View Along the Human Face Processing Pathway

Swaroop Guntupalli, Kelsey G. Wheeler, I. Gobbini
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引用次数: 81

Abstract

Neural models of a distributed system for face perception implicate a network of regions in the ventral visual stream for recognition of identity. Here, we report an fMRI neural decoding study in humans that shows that this pathway culminates in a right inferior frontal cortex face area (rIFFA) with a representation of individual identities that has been disentangled from variable visual features in different images of the same person. At earlier stages in the pathway, processing begins in early visual cortex and the occipital face area (OFA) with representations of head view that are invariant across identities, and proceeds to an intermediate level of representation in the fusiform face area (FFA) in which identity is emerging but still entangled with head view. Three-dimensional, view-invariant representation of identities in the rIFFA may be the critical link to the extended system for face perception, affording activation of person knowledge and emotional responses to familiar faces. Significance Statement In this fMRI decoding experiment, we address how face images are processed in successive stages to disentangle the view-invariant representation of identity from variable visual features. Representations in early visual cortex and the occipital face area distinguish head views, invariant across identities. An intermediate level of representation in the fusiform face area distinguishes identities but still is entangled with head view. The face-processing pathway culminates in the right inferior frontal area with representation of view-independent identity. This paper clarifies the homologies between the human and macaque face processing systems. The findings show further, however, the importance of the inferior frontal cortex in decoding face identity, a result that has not yet been reported in the monkey literature.
基于人脸加工路径的头视身份表征解耦
面部感知分布式系统的神经模型暗示了腹侧视觉流中识别身份的区域网络。在这里,我们报告了一项人类fMRI神经解码研究,该研究表明,这一途径在右侧额叶下皮层面部区域(rIFFA)达到顶峰,该区域具有个人身份的表征,该表征已从同一个人的不同图像的可变视觉特征中解脱出来。在该通路的早期阶段,加工始于早期视觉皮层和枕部面部区(OFA),其头部视图的表征在不同身份之间是不变的,然后进入梭状回面部区(FFA)的中间表征水平,其中身份正在出现,但仍与头部视图纠缠在一起。rIFFA中三维的、视点不变的身份表征可能是与面部感知扩展系统的关键联系,激活了对熟悉面孔的个人知识和情绪反应。在这个fMRI解码实验中,我们讨论了如何在连续的阶段处理人脸图像,以从可变的视觉特征中分离出身份的视图不变表示。早期视觉皮层和枕部面部区域的表征区分了头部视图,在不同身份之间是不变的。梭状回面部区域的中间表征区分身份,但仍然与头部视图纠缠在一起。面部处理通路在右下额叶区域达到顶峰,代表着与视觉无关的身份。本文阐明了人类和猕猴面部处理系统的同源性。然而,研究结果进一步表明,额叶下皮层在解码面部识别中的重要性,这一结果尚未在猴子文献中报道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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