MICROCONTROLLER BASED MODEL OF FITZHUGH-NAGUMO SYSTEM

被引：0

作者：

Petrovas, Andrius ^{[1
]}

Lisauskas, Saulius ^{[1
]}

Slepikas, Alvydas ^{[1
]}

机构：

[1] Vilnius Gediminas Tech Univ, Vilnius, Lithuania

来源：

ELECTRICAL AND CONTROL TECHNOLOGIES | 2012年

关键词：

dynamical system; neuron; hardware model; FitzHugh-Nagumo model; microcontroller;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For investigation into neurodynamical systems FitzHugh-Nagumo model is often suggested. The network of that models can be used for modeling of the brain processes and because of that investigation and development of those models have a great importance. Modeling of an entire network of FitzHugh-Nagumo neurons using numerical simulation requires a lot of calculation resources and time therefore hardware models are proposed. Usually the electronic FitzHugh-Nagumo models are used. The article discuses the microcontroller based model of the FitzHugh-Nagumo neuron.

引用

页码：78 / +

页数：2

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