Circuit realization of the inertia neuron

Z. Hrubos, T. Gotthans, J. Petrzela
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引用次数: 2

Abstract

In this article a simple model of inertia neuron based on the ordinary differential equations of Hindmarsh-Rose model is shown. The fully analog circuit realization is presented. Operational amplifiers as an inverting integrator are used for integration of the differential equations. The function of the model is checked by varying of five bifurcation parameters. Simulations and measurements results are compared. The simulation and measured results demonstrate that analog neuron circuit model is the viable candidate for the implementation in real time.
惯性神经元的电路实现
本文基于Hindmarsh-Rose模型的常微分方程,给出了一个简单的惯性神经元模型。给出了全模拟电路的实现。运算放大器作为逆变积分器用于微分方程的积分。通过改变五个分岔参数来检验模型的功能。仿真结果与实测结果进行了比较。仿真和实测结果表明,模拟神经元电路模型是实时实现的可行选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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