Computational modeling with spiking neural networks
Computational modeling with spiking neural networks
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Date
2014
Authors
Schliebs, S
Kasabov, N
Supervisor
Item type
Chapter in Book
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Publisher
Springer-Verlag Berlin
Abstract
This chapter reviews recent developments in the area of spiking neural networks (SNN) and summarizes the main contributions to this research field. We give background information about the functioning of biological neurons, discuss the most important mathematical neural models along with neural encoding techniques, learning algorithms, and applications of spiking neurons. As a specific application, the functioning of the evolving spiking neural network (eSNN) classification method is presented in detail and the principles of numerous eSNN based applications are highlighted and discussed.
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Source
Springer Handbook of Bio-/Neuroinformatics (2014), pp 625-646
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