Cellular neural network realizations of neuron models with diverse spiking patterns

Károly Lotz, Adam Jacobs, Joos Vandewalle, Frank Werblin, Tamás Roska, Zoltán Vidnyánszky, József Hámori

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this paper we show cellular neural network (CNN) models of some basic types of cells characterized by diverse spiking patterns. After presenting some preliminary models (ion channels, neurons), CNN models of action potential generation are given, followed by an analysis of the rate-coding capabilities of the models. Furthermore, we show CNN models of synaptic connections. Finally, CNN models of neurons with diverse intrinsic firing patterns are presented.

Original languageEnglish
Pages (from-to)301-314
Number of pages14
JournalInternational Journal of Circuit Theory and Applications
Volume24
Issue number3
DOIs
Publication statusPublished - Jan 1 1996

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ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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