[PDF.49fq] Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems

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

[PDF.ig63] Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems

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 | #3919674 in Books |  MIT Press |  2002-12-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x1.00 x7.00l, | File type: PDF | 326 pages

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||0 of 0 people found the following review helpful.| Excellent in-depth discussions of how certain parts of the brain ...|By Lloyd Rice|Excellent in-depth discussions of how certain parts of the brain probably work (nobody knows for sure -- yet). I liked the math treatments.|0 of 0 people found the following review helpful.| one of the best intros to neural modeling that you will find in ...|<| |"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, Neur

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 synthes...

You can specify the type of files you want, for your device.Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems   |  Chris Eliasmith, C. H. Anderson. A good, fresh read, highly recommended.

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