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Principles of Computational Modelling in Neuroscience
David Sterratt, Bruce Graham, Andrew Gillies, David Willshaw你有多喜欢这本书?
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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.
年:
2011
出版:
1
出版社:
Cambridge University Press
语言:
english
页:
404
ISBN 10:
0521877954
ISBN 13:
9780521877954
文件:
PDF, 6.28 MB
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IPFS:
CID , CID Blake2b
english, 2011
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