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Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems

3 customer reviews
ISBN-13: 978-0262050715
ISBN-10: 0262050714
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Editorial Reviews


"From principle component analysis to Kalman filters, information theory to attractor dynamics, this book is a brilliant introduction to the mathematical and engineering methods used to analyze neural function."
Leif Finkel, Professor, Neuroengineering Research Laboratories, University of Pennsylvania

"In this brilliant volume, Eliasmith and Anderson present a novel theoretical framework for understanding the functional organization and operation of nervous systems, from the cellular level to the level of large-scale networks."
John P. Miller, Center for Computational Biology, University of Montana

About the Author

Chris Eliasmith is Assistant Professor in the Department of Philosophy and the Department of Systems Design Engineering at the University of Waterloo.

Charles H. Anderson is Research Professor in the Department of Anatomy and Neurobiology and the Department of Physics at Washington University, St. Louis.

Product Details

  • Series: Computational Neuroscience
  • Hardcover: 326 pages
  • Publisher: The MIT Press (December 1, 2002)
  • Language: English
  • ISBN-10: 0262050714
  • ISBN-13: 978-0262050715
  • Product Dimensions: 7 x 1 x 9 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #3,854,814 in Books (See Top 100 in Books)

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8 of 11 people found the following review helpful By Let's Compare Options Preptorial TOP 500 REVIEWER on April 4, 2013
Format: Paperback Verified Purchase
This has been the "go to" text for several years in the relatively new field of Neural Engineering. The field subsumes the old field of electrophysiology from Neuro, and adds everything from dyanamical systems to medical devices. It's truly an eclectic field.

I was being a little tongue in cheek with the headline, but the 2013 book by Bin He has "used" prices as high as $1,400 at this writing! Reading He (we got it used for $180, still NOT CHEAP) vs this text shows some newer journal references in the articles and authors Dr. He chooses, but the topics are, in my humble opinion, not really that much updated from this text, and there are certainly no new complete topics. By all means, get the Bin He book if you can afford it, but if you're on a budget and want a survey of the field to then branch into specific specialties, get this instead.

I'm certainly not trashing Dr. Bin, but he in fact agrees with me in a sense, because he characterizes his fine but expensive text as a jumping off point to study "the other specific fields and texts" in Neural Engineering. In other words, his book, like this one, is a survey book that gives tastes of each field, which you then have to explore with individual, specific, specialized other detailed texts. I'm guessing that, if you didn't realize this, and paid some unthinkably outrageous amount, only to find other texts are needed for specific applications (functional MRI, ion channel studies, computation, neural control, TMS, conduction, mechanical to electrical transduction, etc.), you might not be real happy!

If you're looking for a single text that elucidates the whole field, this will do just fine, even today.
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Format: Paperback Verified Purchase of the best intros to neural modeling that you will find in is both clearly written and concise....
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2 of 6 people found the following review helpful By Bernd J. Kröger on December 19, 2013
Format: Paperback Verified Purchase
good introduction to neural engineering. It gives me an easy way to get in the worrld of neurons and how to create models with it
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