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Principles of computational modelling in neuroscience / David Sterratt [and three others].

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Sterratt, David, 1973- author.
Language:
English
Subjects (All):
Computational neuroscience.
Physical Description:
1 online resource (xi, 390 pages) : digital, PDF file(s).
Place of Publication:
Cambridge : Cambridge University Press, 2011.
Language Note:
English
Summary:
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.
Contents:
Machine generated contents note: Preface; 1. Introduction; 2. The basis of electrical activity in the neuron; 3. The Hodgkin Huxley model of the action potential; 4. Compartmental models; 5. Models of active ion channels; 6. Intracellular mechanisms; 7. The synapse; 8. Simplified models of neurons; 9. Networks; 10. The development of the nervous system; Appendix A. Resources; Appendix B. Mathematical methods; References.
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references and index.
ISBN:
1-316-08822-7
1-139-03632-7
1-283-19318-3
9786613193186
1-139-04178-9
0-511-97589-9
1-139-03864-8
1-139-04255-6
1-139-04519-9
1-139-04101-0
OCLC:
729166460

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