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Dissociable Neural Patterns of Facial Identity across Changes in Viewpoint

机译:跨视角变化的人脸识别的可分离神经模式

摘要

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 identityconstant 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.
机译:我们检查了与面部无关的面部身份和与身份无关的观点的神经反应模式。在fMRI实验中收集了用于身份和观点的神经激活模式。人脸以可变的视点出现在恒等恒块中,而恒等的出现在视点恒定恒等块中。基于模式的分类器用于区分所有可能的身份和观点对的神经反应模式。为了增加检测不同的神经激活模式进行身份识别的可能性,我们测试了最大程度不同的“面部”-“反面部”对和正常面部对。以高于偶然性的水平区分了六个身份对中四个对的神经反应模式,包括“面部”-“反面部”对。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识别代码。身份识别需要跨越腹侧颞叶(VT)皮质的广泛范围的神经活动模式,包括梭状回和枕骨外侧区域(LOC)。对于视点,从神经上区分了六个视点对中的五个。视点辨别在大范围的VT皮层中是最准确的,但是神经辨别和知觉辨别模式不同。在右后颞上沟中发现的视点判别准确性较差,更符合人类的感知,这表明针对不同功能进行了优化的冗余视点代码。这项研究提供了第一个证据,有可能独立地分离身份和观点的神经激活模式。

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