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Principles of computational modelling in neuroscience /

"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 ci...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Sterratt, David, 1973-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, Ã2011.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:"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"--
Descripción Física:1 online resource (xi, 390 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 351-381) and index.
ISBN:9781139042550
1139042556
9780521877954
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1139045199
9780511975899
0511975899
1316088227
9781316088227
1139036327
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9781283193184
9786613193186
6613193186
1139041789
9781139041782
1139038648
9781139038645
1139041010
9781139041010