Analog LSI neuron model inspired by biological excitable membrane

Shinichiro Kanoh, Makoto Imai, Nozomu Hoshimiya

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

An analog hardware neuron model having biological neuron characteristics is proposed and its basic characteristics are reported. The proposed circuit model is constructed from a membrane capacitance part, negative resistance circuit part, and reactance circuit part, and realizes the membrane excitability observed in biological neurons by voltage-controlled negative resistance characteristics. This model exhibits an action potential generation mechanism similar to that of biological neurons. HSPICE simulation reveals that this model can reproduce both the well-known responses to excitatory inputs and the postinhibitory rebound (PIR) firing which is a neuronal activity occurring by the release from an inhibitory input discharge, and that the characteristics of the input pulse amplitude-latency and entrained response to the periodic input are similar to those of biological neurons. In addition, this model is developed by considering compatibility with integrated circuit processes, and design results of LSI implementation of the model are also presented in this article. PIR firing cannot be reproduced by the simple neuronal model used in conventional neurochips, but it plays an important role in information processing in the brain. The functionality of neurochips is expected to be improved by simulating biological neurons by such a biologically inspired hardware neuron model.

Original languageEnglish
Pages (from-to)84-91
Number of pages8
JournalSystems and Computers in Japan
Volume36
Issue number6
DOIs
Publication statusPublished - 2005 Jun 15
Externally publishedYes

Fingerprint

Biological membranes
Neurons
Negative resistance
Networks (circuits)
Membranes
Hardware
Integrated circuits
Brain
Capacitance
Electric potential

Keywords

  • CMOS
  • Excitability
  • Hardware neuron models
  • LSI
  • Neurochips

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Theoretical Computer Science
  • Computational Theory and Mathematics

Cite this

Analog LSI neuron model inspired by biological excitable membrane. / Kanoh, Shinichiro; Imai, Makoto; Hoshimiya, Nozomu.

In: Systems and Computers in Japan, Vol. 36, No. 6, 15.06.2005, p. 84-91.

Research output: Contribution to journalArticle

Kanoh, Shinichiro ; Imai, Makoto ; Hoshimiya, Nozomu. / Analog LSI neuron model inspired by biological excitable membrane. In: Systems and Computers in Japan. 2005 ; Vol. 36, No. 6. pp. 84-91.
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