Electronic Implementation of a Fuzzy Neuron Model With a Gupta Integrator

Abstract

In this paper the electronic circuit implementation of a fuzzy neuron model with a fuzzy Gupta integrator is presented.
This neuron model simulates the performance and the fuzzy response of a fast-spiking biological neuron. The fuzzy
neuron response is analyzed for two classical (non-fuzzy) input signals, the results are spike trains with relative and
absolute refractory period and an axonal delay. A comparison between the response of the proposed fuzzy neuron
model and the intracellular registers of biological fast-spiking cortical interneurons is made, as well as the transients
presented at the beginning of each spike train. Also the results obtained from the electronic circuit of the fuzzy neuron
model with the Matlab™ simulation of the mathematical model are compared.