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Summary: Circuit Implementation of FitzHugh-Nagumo Neuron
Model Using Field Programmable Analog Arrays
Jun Zhao
Department of Electrical and Computer Engineering
Northeastern University
Boston, MA 02115
jzhao@ece.neu.edu
Yong-Bin Kim
Department of Electrical and Computer Engineering
Northeastern University
Boston, MA 02115
ybk@ece.neu.edu
Abstract-- 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
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