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Principles of Computational Modelling in Neuroscience by Bruce Graham, David...

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TITLE: Principles of Computational Modelling in Neuroscience

ISBN-13: 9780521877954

AUTHORS: David Sterratt , Bruce Graham , Andrew Gillies , David Willshaw

PUBLICATION DATE: 30/06/2011

FORMAT: Hardback

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 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 model.

Principles of Computational Modelling in Neuroscience by Bruce Graham, David...

TITLE: Principles of Computational Modelling in Neuroscience

ISBN-13: 9780521877954

AUTHORS: David Sterratt , Bruce Graham , Andrew Gillies , David Willshaw

PUBLICATION DATE: 30/06/2011

FORMAT: Hardback

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 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 model.

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