Principles of computational modelling in neuroscience

Principles of computational modelling in neuroscience

by David Sterratt [et al]
30th June, 2011

£50.99 £50.99 Save 0% | Hardback


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. David Sterratt is a Research Fellow in the School of Informatics at the University of Edinburgh. His computational neuroscience research interests include models of learning and forgetting, and the formation of connections within the developing nervous system.

Details & Specs

Author: David Sterratt

Publisher: Cambridge University Press

Format: Hardback

ISBN: 9780521877954

Publication Date: 30th June, 2011

Pages: 390

Dimensions: 253 x 194 x 23 mm

Notes: ill. (some col.)

Availability: Available, print on demand, usually dispatched within 7 to 10 days

Customer Reviews

There are currently no reviews for this book. Be the first to review by clicking below!

Review this book...

Related Books:

This website uses cookies. More info. Okay