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Electronic Model of FitzHugh-Nagumo Neuron
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For investigation into neurodynamical systems FitzHugh-Nagumo model is often suggested. One neuron can be easily modeled using numerical methods, but numerical modeling of the entire network of FitzHugh-Nagumo neurons requires a lot of calculation resources and time. To overcome that problem the electronic model of FitzHugh-Nagumo neuron is proposed. The article discusses and compares some electronic models of FitzHugh-Nagumo neurons. The advantages and shortcomings of each model are discussed. Microcontroller based model of the FitzHugh-Nagumo neuron is proposed. The microcontroller calculates the nonlinear part of the FitzHugh-Nagumo equations mathematically correctly, i.e. without any approximations. Simulation results of the suggested model are presented and discussed. Ill. 4, bibl. 8 (in English; abstracts in English and Lithuanian).DOI: http://dx.doi.org/10.5755/j01.eee.122.6.1835
Kaunas University of Technology (KTU)
Title: Electronic Model of FitzHugh-Nagumo Neuron
Description:
For investigation into neurodynamical systems FitzHugh-Nagumo model is often suggested.
One neuron can be easily modeled using numerical methods, but numerical modeling of the entire network of FitzHugh-Nagumo neurons requires a lot of calculation resources and time.
To overcome that problem the electronic model of FitzHugh-Nagumo neuron is proposed.
The article discusses and compares some electronic models of FitzHugh-Nagumo neurons.
The advantages and shortcomings of each model are discussed.
Microcontroller based model of the FitzHugh-Nagumo neuron is proposed.
The microcontroller calculates the nonlinear part of the FitzHugh-Nagumo equations mathematically correctly, i.
e.
without any approximations.
Simulation results of the suggested model are presented and discussed.
Ill.
4, bibl.
8 (in English; abstracts in English and Lithuanian).
DOI: http://dx.
doi.
org/10.
5755/j01.
eee.
122.
6.
1835.
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