A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans.
A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans.
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DOI：
10.1038/srep25025
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发表时间：
2016-04-26
影响因子：
4.6
通讯作者：
Khaligh-Razavi SM
中科院分区：
文献类型：
--
作者：
Farzmahdi A;Rajaei K;Ghodrati M;Ebrahimpour R;Khaligh-Razavi SM
汇聚的报告表明，面部图像是通过大脑中的专门神经网络处理的-即。猴子的面部斑块和人类的梭形面部区域（FFA）。这些研究旨在了解与其他物体相比，面部在视觉系统中是如何处理的。然而，面孔加工的内在机制尚未完全揭示。在这里，我们表明，一个分层的计算模型，在灵长类动物的面部处理的电生理证据的启发，能够产生代表性的特性类似于猴子的面部补丁（后，中，前补丁）。由于感觉神经科学最重要的目标是将神经反应与行为输出联系起来，我们测试了所提出的模型，该模型旨在解释猴子面部斑块的神经反应，是否也能够预测在人类中观察到的有据可查的行为面部现象。我们发现，该模型满足几个认知面孔效应，如：复合面孔效应和规范面孔视图的想法。我们的模型提供了有关将视觉信息从后面部贴片传递到前面部贴片的基础计算的见解。
Converging reports indicate that face images are processed through specialized neural networks in the brain –i.e. face patches in monkeys and the fusiform face area (FFA) in humans. These studies were designed to find out how faces are processed in visual system compared to other objects. Yet, the underlying mechanism of face processing is not completely revealed. Here, we show that a hierarchical computational model, inspired by electrophysiological evidence on face processing in primates, is able to generate representational properties similar to those observed in monkey face patches (posterior, middle and anterior patches). Since the most important goal of sensory neuroscience is linking the neural responses with behavioral outputs, we test whether the proposed model, which is designed to account for neural responses in monkey face patches, is also able to predict well-documented behavioral face phenomena observed in humans. We show that the proposed model satisfies several cognitive face effects such as: composite face effect and the idea of canonical face views. Our model provides insights about the underlying computations that transfer visual information from posterior to anterior face patches.
影响因子：
3.2
作者：
Ghodrati M;Rajaei K;Ebrahimpour R
通讯作者：
Ebrahimpour R