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首页> 外文期刊>電子情報通信学会技術研究報告. ニュ-ロコンピュ-ティング. Neurocomputing >Analog MOS network for temporal and spatial contrast detection based on invertebrate vision systems and an optic flow sensitive network
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Analog MOS network for temporal and spatial contrast detection based on invertebrate vision systems and an optic flow sensitive network

机译:基于无脊椎动物视觉系统和光流敏感网络的用于时空对比检测的模拟MOS网络

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摘要

A biological model of vision systems in the lateral eye of limulus was implemented into a simple analog network. The vision system can extract temporal and spatial contrasts from visual scenes. The local signals of temporal and spatial contrasts at each ommatidium, which is a unit element of the lateral eye, are formed by using self-inhibition and lateral inhibition from neighbors, respectively. Simulation results using SPICE showed that the implemented network detected temporal and spatial contrasts expected from the model. The detection of temporal and spatial contrasts is a primitive function in early visual processing. Therefore, the implemented network has the potential to be a basic component of various visual preprocessors. In conclusion, we examined the construction method of an optic-flow sensitive network base on the implemented network and biological direction-selective neurons.
机译:侧眼视觉系统的生物学模型已实现为简单的模拟网络。视觉系统可以从视觉场景中提取时间和空间对比。作为邻眼的一个基本元素,每个邻眼的时间和空间对比度的局部信号分别通过使用邻域的自抑制和横向抑制来形成。使用SPICE进行的仿真结果表明,已实现的网络检测到了模型预期的时空对比。时空对比的检测是早期视觉处理中的一项原始功能。因此,已实现的网络有可能成为各种视觉预处理器的基本组件。总之,我们研究了基于已实现的网络和生物方向选择神经元的光流敏感网络的构建方法。

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