Electronic Model of FitzHugh-Nagumo Neuron
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Title | Electronic Model of FitzHugh-Nagumo Neuron |
Authors | |
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 |
Publisher | Kaunas University of Technology |
Date | 2012-06-11 |
Source | Elektronika ir elektrotechnika Vol 122, No 6 (2012) |
Rights | Autorių teisės yra apibrėžtos Lietuvos Respublikos autorių teisių ir gretutinių teisių įstatymo 4-37 straipsniuose. |