Fuzzy Spiking Neural Networks by Cornelius Glackin

Fuzzy Spiking Neural Networks by Cornelius Glackin

Spiking neurons represent the latest generation of neural networks designed to be more biologically realistic than more traditional artificial neural networks. This book provides a hands-on historical perspective on the development of neural networks, and investigates state-of-the-art methods for designing spiking neural networks to solve complex engineering problems. In particular, the book discusses the trade-off between biological plausibility and computational complexity of the numerous alternative models for the electrical properties of the neuron membrane, the electro-chemical interactions at the synapse, and for implementing learning. Often there is a trade-off between the sizes of the networks that can be implemented, and the complexity of the individual neurons in the network. The book investigates the definite lack of a rationale for organising all the different models in a network sense. This investigation has culminated in the development of the fuzzy spiking neural network (FSN), which utilises fuzzy logic as a rationale for the deployment of biological models within a spiking neural network.

SKU	Unavailable
ISBN 13	9783639283105
ISBN 10	3639283104
Title	Fuzzy Spiking Neural Networks
Author	Cornelius Glackin
Condition	Unavailable
Binding Type	Paperback
Publisher	VDM Verlag
Year published	2010-08-31
Number of pages	192
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable