Evolving spiking neural networks for spatio and spectro-temporal pattern recognition

Kasabov, N

doi:10.5167/uzh-75319

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Evolving spiking neural networks for spatio and spectro-temporal pattern recognition

Kasabov, N

Year: 2012 Journal: Zurich Open Repository and Archive (University of Zurich) Publisher: University of Zurich

DOI: 10.5167/uzh-75319

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Abstract

This paper provides a survey on the evolution of the evolving connectionist systems (ECOS) paradigm, from simple ECOS introduced in 1998 to evolving spiking neural networks (eSNN) and neurogenetic systems. It presents methods for their use for spatio-and spectro temporal pattern recognition. Future directions are highlighted.

Keywords:

Spiking neural network Connectionism Pattern recognition (psychology) Artificial neural network Feature (linguistics) Simple (philosophy)

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Evolving spiking neural networks for spatio and spectro-temporal pattern recognition

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