Design of single electron circuitry for a stochastic logic neural network

Hisanao Akima, Shigeo Sato, Koji Nakajima

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Single electron devices are ultra low power and extremely small devices, and suitable for implementation of large scale integrated circuits. An artificial neural network (ANN) is one of the possible applications of single electron devices. We apply stochastic logic in which various complex operations can be done with basic logic gates. We design basic subcircuits of a single electron stochastic neural network, and confirm that backgate bias control and a redundant configuration are necessary for a feedback loop configuration by computer simulation based- on Monte Carlo method. The proposed single electron circuit is well-suited for hardware implementation of a stochastic logic neural network.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Verlag
Pages1010-1016
Number of pages7
ISBN (Print)9783540301325
DOIs
Publication statusPublished - 2004 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3213
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Design of single electron circuitry for a stochastic logic neural network'. Together they form a unique fingerprint.

Cite this