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Item Details
Title: PRINCIPLES OF COMPUTATIONAL MODELLING IN NEUROSCIENCE
By: David Sterratt, Bruce Graham, Dr Andrew Gillies
Format: Electronic book text

List price: £360.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0511975899
ISBN 13: 9780511975899
Publisher: CAMBRIDGE UNIVERSITY PRESS
Pub. date: 5 June, 2012
Description: This book explains how to use techniques of computational modelling to understand the nervous system at all levels from ion channels to networks.
Synopsis: The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.
Illustrations: 178 b/w illus. 7 tables
Publication: UK
Imprint: Cambridge University Press (Virtual Publishing)
Returns: Non-returnable
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