Evolving spiking neural network - a survey
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Authors
Schliebs, S
Kasabov, N
Supervisor
Item type
Journal Article
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Publisher
Springer
Abstract
This paper provides a comprehensive literature survey on the evolving Spiking Neural Network (eSNN) architecture since its introduction in 2006 as a further extension of the ECoS paradigm introduced by Kasabov in 1998. We summarize the functioning of the method, discuss several of its extensions and present a number of applications in which the eSNN method was employed. We focus especially on some proposed extensions that allow the processing of spatio-temporal data and for feature and parameter optimisation of eSNN models to achieve better accuracy on classification/prediction problems and to facilitate new knowledge discovery. Finally, some open problems are discussed and future directions highlighted.Description
Keywords
Evolving spiking neural network, Evolving connectionist systems, Spatio-temporal pattern recognition
Source
Evolving Systems, vol.4(2), pp.87 - 98
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