Design of a neural network chip for the burst ID model with ability of burst firing

Shinya Suenaga, Yoshihiro Hayakawa, Koji Nakajima

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In order to introduce the burst firing, a nerve-cell dynamic feature, we extend the Inverse Function Delayed model (ID model), which is the neuron model with ability to oscillate and has powerful ability on the information processing. This dynamics is discussed for the relation with the functional role of the brain and is characterized by repeated patterns of closely spaced action potentials. It is expected that the additional new characteristics add extra functions to neural networks. Using the relation between the ID and reduced Hodgkin-Huxley model, we propose the neuron model with ability of burst. The proposed model excelled the ID model in solving the N-Queen problem. Additionally, the prototype chip for the burst ID model is implemented and measured.

Original languageEnglish
Pages (from-to)715-723
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE90-A
Issue number4
DOIs
Publication statusPublished - 2007 Apr

Keywords

  • Burst firing
  • LSI
  • Neural network
  • Optimization problem

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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