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The NEURON Book Hardcover – February 6, 2006

ISBN-13: 978-0521843218 ISBN-10: 0521843219

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Product Details

  • Hardcover: 480 pages
  • Publisher: Cambridge University Press (February 6, 2006)
  • Language: English
  • ISBN-10: 0521843219
  • ISBN-13: 978-0521843218
  • Product Dimensions: 9.4 x 6.3 x 1.2 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,693,784 in Books (See Top 100 in Books)

Editorial Reviews

Book Description

The authoritative reference on NEURON, a software program used by neuroscientists to create computer models used to study the function of biological neurons and neural networks. Written by the creator of the NEURON program, its main purpose is to teach readers how to use NEURON. Without assuming any previous computer-programming knowledge, it provides practical advice and full working examples to help users get the most out of NEURON. It will be an essential handbook for anyone working with NEURON in computational neuroscience, theoretical neuroscience, neurophysiology, and neuroscience.

About the Author

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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Most Helpful Customer Reviews

10 of 14 people found the following review helpful By Joseph C. Aulenbrock on April 23, 2007
Format: Hardcover Verified Purchase
This book opens up new possibilities. It includes a basically simple Graphical User Interface (GUI) that can be used in Microsoft Windows (and in fact uses it for the examples). I rate it with 4 stars instead of 5, because the instructions in the examples are for those experienced with NEURON. For beginners like myself, it would help to say which buttons should be clicked and which keys pressed.

This book describes the NEURON simulation system, which can be accessed for installation and instructions at the NEURON web site. Simulation implies using the realistic Hodgkin-Huxley neuron. NEURON was initially for individual neurons, but it has now been extended to networks.

For those who believe in the classical physical science of the 19th century, including physics, chemistry, thermodynamics, and the differential equations in which they are expressed, NEURON has a special meaning. The Hodgkin-Huxley neuron extended classical physical science to a wide range of neuron types and species. The reductionist work of Eric Kandel explained many types of synapses at the molecular level, and therefore explains the connection of neurons in a network in terms of classical physical science.

Our special interest is in networks of interneurons. The most accessible mammalian networks are those in the olfactory bulb of the rat. For this special class, classical physical science, using NEURON, extends into neurobiology. It DEFINES a physically possible network structure. It is likely that evolution will have exploited at least part of this structure to extend order. This possibility is there. It is real. And it is begging for study.

This work will not require a supercomputer. From the deterministic point of view of classical physical science, there is no magic in statistically large numbers of cells. Two dozen or less should be enough to display emerging order.
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