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CUUK1462-Sterratt 978 0 521 87795 4 December 17, 2010 11:2
Principles putational Modelling
in Neuroscience
The nervous system is made up of a large number of interacting elements. To
understand how such plex system functions requires the construction and
analysis putational 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
works. 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 works. 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 putational neuro-
science.
David Sterratt is a Research Fellow in the School of Informatics at the University
of Edinburgh. putational neuroscience research interests include models
of learning and forgetting and the formation of connections within the developing
nervous system.
Bruce Graham is a Reader puting Science in the Department puting
Science and Mathematics at the University of Stirling. Focusing putational
neuroscience, his research covers nervous system modelling at many levels.
Andrew Gillies works at Psymetrix Limited, Edinburgh. He has been actively
involved putational neuroscience research.
David Willshaw is Professor putational Neurobiology in the School of
Informatics at the University of Edinburgh. His research focuses on the application
of methods putational neurobiology to an understanding of the develo