Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience

Description

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.


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Details

Author(s)
David Sterratt, Bruce Graham, Andrew Gillies, David Willshaw
Format
Hardback | 404 pages
Dimensions
194 x 253 x 23mm | 1,020g
Publication date
03 Feb 2016
Publisher
CAMBRIDGE UNIVERSITY PRESS
Publication City/Country
Cambridge, United Kingdom
Language
English
Illustrations note
7 Tables, black and white; 91 Halftones, unspecified; 87 Line drawings, unspecified
ISBN10
0521877954
ISBN13
9780521877954
Bestsellers rank
1,505,922