Asynchronous pulse neural network model for VLSI implementation

Mitsuru Hanagata, Yoshihiko Horio, Kazuyuki Aihara

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

An asynchronous pulse neural network model which is suitable for VLSI implementation is proposed. The model neuron can function as a coincidence detector as well as an integrator depending on its internal time-constant relative to the external one, and show complex dynamical behavior including chaotic responses. A network with the proposed neurons can process spatio-temporal coded information through dynamical cell assemblies with functional synaptic connections.

Original languageEnglish
Pages (from-to)1853-1859
Number of pages7
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE81-A
Issue number9
Publication statusPublished - 1998

Keywords

  • Dynamical cell assembly
  • Neural networks
  • Spatio-temporal coding

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