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.
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收藏
页码：78 / +
页数：2
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