Switched-Capacitor Chaotic Neuron for Chaotic Neural Networks

Y. Horio, K. Suyama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

This paper presents a switched-capacitor implementation of a neuron model which exhibits chaotic behavior.The model is based on the experimentally observed characteristics of squid neuron.It is shown that the proposed circuit qualitatively replicates the response of the real neuron by extensive simulations using SWITCAP2 and SPICE. Various nonideal effects such as dc gain, input offset voltage, and parasitic capacitances associated with SC implementation are investigated and op amp offset voltage is identified as a major problem.An existing offset voltage compensation scheme is, then, adopted to alleviate the problem.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages1021
Number of pages1
ISBN (Print)0780312813
Publication statusPublished - 1993
EventProceedings of the 1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
Duration: 1993 May 31993 May 6

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2
ISSN (Print)0271-4310

Conference

ConferenceProceedings of the 1993 IEEE International Symposium on Circuits and Systems
CityChicago, IL, USA
Period93/5/393/5/6

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