ENGLISH

Principles of computational modelling in neuroscience

By David Sterratt

Book information

Publisher
Cambridge University Press
Year
2011
ISBN
978-0-521-87795-4, 0521877954
Language
english
Format
PDF
Filesize
5 MB (5128435 bytes)
Edition
1
Pages
xi, 390 pages : ill some color ; 26 cm\404
Topic
Medicine
Library
kolxo3
Time added
2014-11-04 21:00:00
Медицинские дисциплины;Физиология человека;Нейрофи

Description

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

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