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Learning Temporally Encoded Patterns in Networks of Spiking Neurons

✍ Scribed by Berthold Ruf; Michael Schmitt


Book ID
110278933
Publisher
Springer US
Year
1997
Tongue
English
Weight
93 KB
Volume
5
Category
Article
ISSN
1370-4621

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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 capabil