Live demonstration: Signal flow platform implementation into retinal cell pathway

Seungbum Baek, J. Eshraghian, Kyoung-Rok Cho, Nicolangelo Iannella, Jun-Ho Kim, H. Iu, T. Fernando, K. Eshraghian
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Abstract

This live demonstration implements an established signal flow platform with its foundation derived from a system of nonlinear integral equations in a MATLAB simulation environment, characterizing the functional behavior of the signal that traverses from the photoreceptor to the ganglion cell in the vision processing architecture. While an increase in computational speed over the conventional method of solving a system of nonlinear ordinary differential equations (ODEs) has been confirmed for a single ganglion cell, the notion is extended to a retinal dual-pathway simulation which provides for a significantly improved adoption for organic mechanisms. There are various numerical methods in solving such a system which all have a bearing on both speed and error, and as such, systematic analyses using two common forms of integral solving methods are shown to improve the overall performance of simulating the extended pathway of the retinal model.
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现场演示:视网膜细胞通路信号流平台的实现
本演示在MATLAB仿真环境中实现了一个已建立的信号流平台,该平台的基础来源于一个非线性积分方程系统,表征了视觉处理架构中信号从光感受器到神经节细胞的功能行为。虽然对于单个神经节细胞,求解非线性常微分方程(ode)系统的传统方法的计算速度有所提高,但该概念已扩展到视网膜双通路模拟,从而显着改善了对有机机制的采用。求解这类系统有多种数值方法,它们都对速度和误差有影响,因此,使用两种常见形式的积分求解方法进行系统分析,可以提高模拟视网膜模型扩展路径的整体性能。
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