Title :
Investigation of microcontroller based model of FitzHugh-Nagumo neuron
Author :
Petrovas, A. ; Lisauskas, S. ; Slepikas, A.
Author_Institution :
Dept. of Electron., Vilnius Gediminas Tech. Univ., Vilnius, Lithuania
Abstract :
The biggest problems arise at elaborating hardware models of FitzHugh-Nagumo neuron is related with implemantation of nonlinear part of the system. It is really difficult to realize such nonlinear part using analogue circuits, however it can be easily realized using microcontroller. In the article the elaborated microcontroller based hardware model of FitzHugh-Nagumo neuron was considered. The article discuses the microcontroller based model of the FitzHugh-Nagumo neuron. Experimental results are also presented and discussed.
Keywords :
microcontrollers; neural nets; FitzHugh-Nagumo neuron; analogue circuit; microcontroller based model; nonlinear part; Biological neural networks; Equations; Hardware; Mathematical model; Microcontrollers; Neurons; Numerical models; Biological system modeling; FitzHugh-Nagumo neuron; Hardware model; Microcontroller;
Conference_Titel :
MECHATRONIKA, 2012 15th International Symposium
Conference_Location :
Prague
Print_ISBN :
978-1-4673-0979-0
