A computational model of attentive visual system induced by cortical neural network

机译：皮层神经网络诱导的注意力视觉系统的计算模型

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Attention is involved in the process of selection that is especially crucial in the establishment of flexible, adaptive behavior: We present an attentive visual system, induced by the hypothetical cortical neural network consisting of anterior, frontal and parietal regions. The network reveals initial behavior that generates attention-demanding process and attention modulation which emerges as a new behavior. As a result, each behavior leads to various visual experiences, developing motion-selectivity columns to exist in visual cortex. In addition, we postulate different attention classes which are calculated as hidden parameters in the cortical neural network, and each attention class can thus be used for selecting purposes.

机译：注意涉及选择过程，这对于建立灵活的适应性行为尤为重要：我们提出了一种视觉注意系统，该视觉系统是由由前，额和顶叶区组成的假设皮质神经网络诱导的。该网络揭示了初始行为，该行为产生了注意力集中的过程，并且注意力调制作为一种新的行为出现了。结果，每种行为都会导致各种视觉体验，从而开发出运动选择性列以存在于视觉皮层中。此外，我们假设在皮质神经网络中将不同的注意力类别作为隐藏参数进行计算，因此每个注意力类别都可以用于选择目的。

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来源
《Computational Neuroscience Meeting (CNS'01) Jul, 2001 Monterey, California》|2001年|p.881-887|共7页
会议地点 Monterey CA(US);Monterey CA(US)
作者
T. Koshizen; Koji Akatsuka; Hiroshi Tsujino;
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作者单位

Wako Research Centre, Honda RD Co. Ltd., 1-4-1 Chuo Wako-Shi, Saitama 351-0193, Japan;

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原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
attention; spatio-temporal learning; behavior selection; cortical neural network;

机译：注意;时空学习;行为选择;皮层神经网络;

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A computational model of attentive visual system induced by cortical neural network

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