Electronic Model of FitzHugh-Nagumo Neuron

Authors

  • A. Petrovas Vilnius Gediminas Technical University
  • S. Lisauskas Vilnius Gediminas Technical University
  • A. Slepikas Vilnius Gediminas Technical University

DOI:

https://doi.org/10.5755/j01.eee.122.6.1835

Abstract

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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Published

2012-06-07

Issue

Vol. 122 No. 6 (2012)

Section

ELECTRICAL ENGINEERING

License

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By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.

How to Cite

Electronic Model of FitzHugh-Nagumo Neuron. (2012). Elektronika Ir Elektrotechnika, 122(6), 117-120. https://doi.org/10.5755/j01.eee.122.6.1835

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