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| Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems (Computational Neuroscience) | 
 enlarge | Authors: Chris Eliasmith, Charles H. Anderson
Publisher: The MIT Press
Category: Book
List Price: $40.00
Buy New: $28.57
You Save: $11.43 (29%)
New (7) Used (6) from $27.98
Sales Rank: 1088270
Media: Paperback
Edition: New edition
Number Of Items: 1
Pages: 376
Shipping Weight (lbs): 1.3
Dimensions (in): 8.5 x 6.6 x 0.8
ISBN: 0262550601
Dewey Decimal Number: 573
EAN: 9780262550604
ASIN: 0262550601
Publication Date: September 1, 2004
Availability: Usually ships in 1-2 business days
Condition: *** Alert : As per the shipping schedule, this order is not expected to be delivered in time for the Holidays *** Brand new item. Over 4 million customers served. Order now. Selling online since 1995. Few left in stock - order soon. Code: M20081219222303T
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Product Description
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.
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