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在视角变化中对面部身份的分离神经模式。

Dissociable neural patterns of facial identity across changes in viewpoint.

机构信息

School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX 75080, USA.

出版信息

J Cogn Neurosci. 2010 Jul;22(7):1570-82. doi: 10.1162/jocn.2009.21312.

Abstract

We examined the neural response patterns for facial identity independent of viewpoint and for viewpoint independent of identity. Neural activation patterns for identity and viewpoint were collected in an fMRI experiment. Faces appeared in identity-constant blocks, with variable viewpoint, and in viewpoint-constant blocks, with variable identity. Pattern-based classifiers were used to discriminate neural response patterns for all possible pairs of identities and viewpoints. To increase the likelihood of detecting distinct neural activation patterns for identity, we tested maximally dissimilar "face"-"antiface" pairs and normal face pairs. Neural response patterns for four of six identity pairs, including the "face"-"antiface" pairs, were discriminated at levels above chance. A behavioral experiment showed accord between perceptual and neural discrimination, indicating that the classifier tapped a high-level visual identity code. Neural activity patterns across a broad span of ventral temporal (VT) cortex, including fusiform gyrus and lateral occipital areas (LOC), were required for identity discrimination. For viewpoint, five of six viewpoint pairs were discriminated neurally. Viewpoint discrimination was most accurate with a broad span of VT cortex, but the neural and perceptual discrimination patterns differed. Less accurate discrimination of viewpoint, more consistent with human perception, was found in right posterior superior temporal sulcus, suggesting redundant viewpoint codes optimized for different functions. This study provides the first evidence that it is possible to dissociate neural activation patterns for identity and viewpoint independently.

摘要

我们研究了面部身份与视角无关的神经反应模式和视角与身份无关的神经反应模式。在 fMRI 实验中收集了身份和视角的神经激活模式。面孔出现在身份不变的块中,视角变化,以及在视角不变的块中,身份变化。基于模式的分类器用于区分所有可能的身份和视角对的神经反应模式。为了增加检测身份的独特神经激活模式的可能性,我们测试了最大差异的“面孔”-“反面孔”对和正常面孔对。四个六对身份对中的四个身份对的神经反应模式的辨别能力超过了随机水平。一项行为实验表明,感知和神经辨别之间存在一致性,表明分类器利用了高级视觉身份代码。广泛的腹侧颞叶 (VT) 皮层,包括梭状回和外侧枕叶区域 (LOC),的神经活动模式需要进行身份辨别。对于视角,六个视角对中的五个可以进行神经辨别。使用广泛的 VT 皮层可以最准确地进行视角辨别,但神经和感知辨别模式不同。在右侧后颞上沟中发现了更不准确的视角辨别,更符合人类感知,表明用于不同功能的冗余视角代码。这项研究首次提供了证据,表明可以独立分离身份和视角的神经激活模式。

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