NEURON Book by Nicholas T. Carnevale
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NEURON Book
By Nicholas T. Carnevale

The NEURON Book

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Format: Hardback

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NEURON Book by Nicholas T. Carnevale

Book Description

The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.

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Book Details

ISBN: 9780521843218
ISBN-10: 0521843219
Format: Hardback
(228mm x 152mm x 27mm)
Pages: 480
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 12-Jan-2006
Country of Publication: United Kingdom

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Books By Author Nicholas T. Carnevale

NEURON Book by Nicholas T. Carnevale NEURON Book, Paperback (July 2009)

Authoritative reference on NEURON, the software program used by neuroscientists to create models to study the function of biological neurons.

» View all books by Nicholas T. Carnevale

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Author Biography - Nicholas T. Carnevale

Nicholas T. Carnevale is Senior Research Scientist in the Department of Psychology at Yale University. He also directs the NEURON courses at the annual meetings of the Society of Neuroscience and the NEURON Summer Courses at the University of California, San Diego and University of Minnesota, Minneapolis. Michael L. Hines is Research Scientist in the Department of Computer Science at Yale University. His work is embodied in a program, NEURON, which enjoys wide use in the experimental and computational neuroscience community.

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