从神经元模型到神经元动力学和图像处理

M. Keil
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引用次数: 3

摘要

本文介绍了神经元的膜电位方程。描述了它的属性,以及示例应用程序。这些方程的网络可以用于神经元系统的建模,它们也分别处理图像和视频序列。具体来说,(i)提出了一个动态视网膜(基于反应扩散系统),它可以预测后像和简单的视觉错觉,(ii)一个纹理分离系统(纹理元素被理解为均匀对称的对比度特征),以及(iii)一个检测物体接近的网络(受蝗虫视觉系统的启发)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Neuronal Models to Neuronal Dynamics and Image Processing
This paper is an introduction to the membrane potential equation for neurons. Its properties are described, as well as sample applications. Networks of these equations can be used for modeling neuronal systems, which also process images and video sequences, respectively. Specifically, (i) a dynamic retina is proposed (based on a reaction-diffusion system), which predicts afterimages and simple visual illusions, (ii) a system for texture segregation (texture elements are understood as even-symmetric contrast features), and (iii) a network for detecting object approaches (inspired by the locust visual system).
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