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

by Chris Eliasmith (Author), C. H. Anderson (Author)

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For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmith and Charles Anderson provide a synthesis of the disparate approaches current in computational neuroscience, incorporating ideas from neural coding, neural computation, physiology, communications theory, control theory, dynamics, and probability theory. This synthesis, they argue, enables novel theoretical and practical insights into the functioning of neural systems. Such insights are pertinent to experimental and computational neuroscientists and to engineers, physicists, and computer scientists interested in how their quantitative tools relate to the brain.

The authors present three principles of neural engineering based on the representation of signals by neural ensembles, transformations of these representations through neuronal coupling weights, and the integration of control theory and neural dynamics. Through detailed examples and in-depth discussion, they make the case that these guiding principles constitute a useful theory for generating large-scale models of neurobiological function. A software package written in MatLab for use with their methodology, as well as examples, course notes, exercises, documentation, and other material, are available on the Web.

ISBN-10

0262050714
ISBN-13

978-0262050715
Publisher

Bradford Books
Publication date

January 1, 2002
Language

English
Dimensions

7.25 x 0.75 x 9 inches
Print length

356 pages
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Peter Dayan
91
Paperback
33 offers from $27.49

Product details

Publisher ‏ : ‎ Bradford Books (January 1, 2002)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 356 pages
ISBN-10 ‏ : ‎ 0262050714
ISBN-13 ‏ : ‎ 978-0262050715
Item Weight ‏ : ‎ 1.68 pounds
Dimensions ‏ : ‎ 7.25 x 0.75 x 9 inches

Best Sellers Rank: #3,633,111 in Books (See Top 100 in Books)
- #949 in Neuroscience (Books)
- #1,261 in Computer Neural Networks

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Still Up to Date in 2013 and $1,000 less than Bin He!

Reviewed in the United States on April 4, 2013

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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. There HAVE been a lot of advances in the last decade in details, but again, those aren't covered in any general intro, including Dr. He-- you need to get those texts, which themselves are 400 to 800 pages long. For comparison, He is here: Neural Engineering . As a specific example, both this text and Doc He mention Neural Control and both suggest a number of other texts and articles, but if you want more than an overview, today's go to text in that area is Neural Control Engineering: The Emerging Intersection between Control Theory and Neuroscience (Computational Neuroscience) .

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