Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:B4L-D
Session:
Number:B4L-D-02
Various Burst Phenomena and Automatic Cellular Differentiation Method of a Piecewise Constant Spiking Neuron Model
Kengo Hosoi , Hiroyuki Torikai,
pp.409-410
Publication Date:12/12/2022
Online ISSN:2188-5079
DOI:10.34385/proc.71.B4L-D-02
PDF download (751.5KB)
Summary:
In this paper, a novel hardware-based cellular differentiation method of a piecewise constant neuron model is proposed. Circuit implementations and experimental measurements validate that the proposed differentiation method implemented by an FPGA enables the PWC neuron model implemented by an analog nonlinear circuit to reproduce typical neuron-like burst phenomena of an ordinary differential equation neuron model.