Circuit implementation of FitzHugh-Nagumo neuron model using Field Programmable Analog Arrays

A simple neuron model, the FitzHugh-Nagumo (FHN) model, is implemented on field programmable analog arrays (FPAAs). The differential equations of the model is integrated by making arithmetic operations on the reconfigurable voltage model circuits of the FPAAs. The simulation and implementation resul...

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Bibliographic Details
Published in2007 50th Midwest Symposium on Circuits and Systems pp. 772 - 775
Main Authors Jun Zhao, Yong-Bin Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2007
Subjects
Analog computers
Biological system modeling
Biomembranes
Circuits
Computational modeling
Field programmable analog arrays
Hardware
Neurons
Power engineering computing
Voltage
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ISBN1424411750
9781424411757
ISSN1548-3746
DOI10.1109/MWSCAS.2007.4488691

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Summary:A simple neuron model, the FitzHugh-Nagumo (FHN) model, is implemented on field programmable analog arrays (FPAAs). The differential equations of the model is integrated by making arithmetic operations on the reconfigurable voltage model circuits of the FPAAs. The simulation and implementation results demonstrate that FPAA is the viable candidate for the neuron hardware implementation in real time or many orders of magnitude faster.
ISBN:1424411750
9781424411757
ISSN:1548-3746
DOI:10.1109/MWSCAS.2007.4488691