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Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems (Computational Neuroscience Series) Paperback – August 20, 2004
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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)
This book represents a significant advance in computational neuroscience. Eliasmith and Anderson have developed an elegant framework for understanding representation, computation, and dynamics in neurobiological systems. The book is beautifully written and it should be accessible to a wide variety of readers.(Bruno A. Olshausen, Center for Neuroscience, University of California, Davis)
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.
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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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