Cellular neural network realizations of neuron models with diverse spiking patterns

Károly Lotz, Adam Jacobs, Joos Vandewalle, Frank Werblin, T. Roska, Z. Vidnyánszky, J. 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
Publication statusPublished - May 1996

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Cellular neural networks
Neuron Model
Cellular Networks
Neural Network Model
Neurons
Neural Networks
Neuron
Ion Channels
Action Potential
Coding
Cell
Model
Ions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Cellular neural network realizations of neuron models with diverse spiking patterns. / Lotz, Károly; Jacobs, Adam; Vandewalle, Joos; Werblin, Frank; Roska, T.; Vidnyánszky, Z.; Hámori, J.

In: International Journal of Circuit Theory and Applications, Vol. 24, No. 3, 05.1996, p. 301-314.

Research output: Contribution to journalArticle

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