Principles of Computational Modelling in Neuroscience
Sterratt, David; Graham, Bruce; Gillies, Andrew; Willshaw, David
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Language: English
Published by Cambridge University Press, 2011
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Used - Good: All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
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- Title
- Principles of Computational Modelling in Neuroscience
- Author
- Sterratt, David; Graham, Bruce; Gillies, Andrew; Willshaw, David
- Publisher
- Cambridge University Press
- Publication year
- 2011
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0521877954
- ISBN 13
- 9780521877954
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 signaling. 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 modeling 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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
Bruce Graham is a Reader in Computing Science in the Department of Computing Science and Mathematics at the University of Stirling. Focusing on computational neuroscience, his research covers nervous system modelling at many levels.
Andrew Gillies works at Psymetrix Limited, Edinburgh. He has been actively involved in computational neuroscience research.
David Willshaw is Professor of Computational Neurobiology in the School of Informatics at the University of Edinburgh. His research focuses on the application of methods of computational neurobiology to an understanding of the development and functioning of the nervous system.
Bruce Graham is a Reader in Computing Science in the Department of Computing Science and Mathematics at the University of Stirling. Focusing on computational neuroscience, his research covers nervous system modelling at many levels.
Andrew Gillies works at Psymetrix Limited, Edinburgh. He has been actively involved in computational neuroscience research.
David Willshaw is Professor of Computational Neurobiology in the School of Informatics at the University of Edinburgh. His research focuses on the application of methods of computational neurobiology to an understanding of the development and functioning of the nervous system.
"About the title" may belong to another edition of this title.
MERS Goodwill
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