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Neural mechanism of dynamic responses of neurons in inferior temporal cortex in face perception

机译:面部下颞皮质神经元动态反应的神经机制

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Understanding the neural mechanisms of object and face recognition is one of the fundamental challenges of visual neuroscience. The neurons in inferior temporal (IT) cortex have been reported to exhibit dynamic responses to face stimuli. However, little is known about how the dynamic properties of IT neurons emerge in the face information processing. To address this issue, we made a model of IT cortex, which performs face perception via an interaction between different IT networks. The model was based on the face information processed by three resolution maps in early visual areas. The network model of IT cortex consists of four kinds of networks, in which the information about a whole face is combined with the information about its face parts and their arrangements. We show here that the learning of face stimuli makes the functional connections between these IT networks, causing a high spike correlation of IT neuron pairs. A dynamic property of subthreshold membrane potential of IT neuron, produced by Hodgkin–Huxley model, enables the coordination of temporal information without changing the firing rate, providing the basis of the mechanism underlying face perception. We show also that the hierarchical processing of face information allows IT cortex to perform a “coarse-to-fine” processing of face information. The results presented here seem to be compatible with experimental data about dynamic properties of IT neurons.
机译:理解对象和面部识别的神经机制是视觉神经科学的基本挑战之一。颞下(IT)皮质的神经元据报道对脸部刺激表现出动态反应。然而,关于IT神经元的动态特性如何在面部信息处理中出现的知之甚少。为了解决这个问题,我们制作了一个IT皮质模型,该模型通过不同IT网络之间的交互来执行面部感知。该模型基于早期视觉区域中三张分辨率图处理的面部信息。 IT皮质的网络模型由四种网络组成,其中有关整个面部的信息与有关其面部部分及其布置的信息相结合。我们在这里表明,面部刺激的学习在这些IT网络之间建立了功能连接,从而导致IT神经元对的峰值相关性很高。 Hodgkin–Huxley模型产生的IT神经元亚阈膜电位的动态特性,可以在不改变触发速度的情况下协调时间信息,从而为面部感知提供了基础。我们还显示,人脸信息的分层处理使IT皮质能够执行“从粗到精”的人脸信息处理。这里介绍的结果似乎与有关IT神经元动态特性的实验数据兼容。

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