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UCLA

Princeton University

University of Cambridge

Harvard University

University of Oxford

National Library of China

Stanford University

CUHK

MIT

UCB

Principles of Computational Modelling in Neuroscience

神经科学中的计算建模原则

David Sterratt

Classification Codes : Q1

Language : ENG

Publication Information : Cambridge University Press

Publish Year:2011

I  S  B  N :9780521877954

Grade :

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Contents
Product Details

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.