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Loci of the release from fMRI adaptation for changes in facial expression, identity, and viewpoint

机译:功能磁共振成像适应释放释放的基因座,可改变面部表情,身份和视点

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Face recognition involves collaboration of a distributed network of neural correlates. However, how different attributes of faces are represented has remained unclear. We used functional magnetic resonance imaging-adaptation (fMRIa) to investigate the representation of viewpoint, expression, and identity of faces in the fusiform face area (FFA) and the occipital face area (OFA). In an event-related experiment, subjects viewed sequences of two faces and judged whether they depicted the same person. The images could vary in viewpoint, expression and/or identity. Critically, the physical similarity between view-changed and between expression-changed faces of the same person were matched by the Gabor-jet metric, a measure that predicts almost perfectly the effects of image similarity on face discrimination performance. In FFA, changes of identity produced the largest release from adaptation followed by changes of expression; but the release caused by changes of viewpoint was smaller and not reliable. OFA was sensitive only to changes in identity, even when image changes produced by identity variations were matched to those of expression and orientation. These results suggest that FFA is involved in the perception of both identity and expression of faces, a result contrary to the hypothesis of independent processing of changeable and invariant attributes of faces in the face-processing network.
机译:人脸识别涉及神经相关性的分布式网络的协作。然而,如何表达面部的不同属性仍不清楚。我们使用功能磁共振成像适应(fMRIa)来研究梭状面部区域(FFA)和枕面部区域(OFA)的视点表示,表情和面部身份。在与事件相关的实验中,受试者观察了两个面孔的序列,并判断他们是否描绘了同一个人。图像的视点,表达和/或身份可能有所不同。至关重要的是,同一个人的不同视角和不同表情的面部之间的物理相似性通过Gabor-jet度量匹配,该度量几乎完美地预测了图像相似性对面部识别性能的影响。在FFA中,身份的改变是适应的最大释放,其次是表达的改变。但是由视点改变引起的释放较小并且不可靠。 OFA仅对身份变化敏感,即使由身份变化产生的图像变化与表达和方向的变化相匹配。这些结果表明,FFA参与了对面孔的身份和表情的感知,这与在面孔处理网络中对面孔的可变和不变属性进行独立处理的假设相反。

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