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VLSI-implementable classically conditioned neural elements

  • Novat Nintunze
  • , Angus Wu
  • , Pichet Chintrakulchai
  • , Jack Meador

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Hardware implementation of the phenomena of classical conditioning is discussed. The circuits are built around a programmable floating gate synapse studied in earlier works and thought to be a part of an impulse neural network. Simulation results related to phenomena such as acquisition and its extinction, blocking and second order conditioning are presented. The methodology followed is that of using specialized cells. This method further allows the realization of phenomena currently under investigation such as facilitation, sensitization and habituation. Current research involves the use of pulse coded Hebbian laws in search of economical circuitry for VLSI implementation.
Original languageEnglish
Title of host publicationMidwest Symposium on Circuits and Systems
PublisherIEEE
Pages281-284
Volume1
ISBN (Print)780300815
Publication statusPublished - 1991
Externally publishedYes
Event33rd Midwest Symposium on Circuits and Systems - Calgary, Alberta, Can
Duration: 12 Aug 199015 Aug 1990

Publication series

Name
Volume1

Conference

Conference33rd Midwest Symposium on Circuits and Systems
CityCalgary, Alberta, Can
Period12/08/9015/08/90

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