Plausible Neural Networks for Biological Modelling (Hardcover, 2001 ed.)

This book has the unique intention of returning the mathematical tools of neural networks to the biological realm of the nervous system, where they originated a few decades ago. It aims to introduce, in a didactic manner, two relatively recent developments in neural network methodology, namely recurrence in the architecture and the use of spiking or integrate-and-fire neurons. In addition, the neuro-anatomical processes of synapse modification during development, training, and memory formation are discussed as realistic bases for weight-adjustment in neural networks. While neural networks have many applications outside biology, where it is irrelevant precisely which architecture and which algorithms are used, it is essential that there is a close relationship between the network's properties and whatever is the case in a neuro-biological phenomenon that is being modelled or simulated in terms of a neural network. A recurrent architecture, the use of spiking neurons and appropriate weight update rules contribute to the plausibility of a neural network in such a case. Therefore, in the first half of this book the foundations are laid for the application of neural networks as models for the various biological phenomena that are treated in the second half of this book. These include various neural network models of sensory and motor control tasks that implement one or several of the requirements for biological plausibility.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Mathematical Modelling: Theory and Applications, 13
Release date:	September 2001
First published:	2001
Editors:	H. a. Mastebroek • J. E. Vos
Dimensions:	244 x 170 x 17mm (L x W x T)
Format:	Hardcover
Pages:	262
Edition:	2001 ed.
ISBN-13:	978-0-7923-7192-2
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Computer software packages > Computer graphics software > General
LSN:	0-7923-7192-5
Barcode:	9780792371922

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