Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems (Computational Neuroscience) [Paperback]

Chris Eliasmith (Author), Charles H. Anderson (Author)

Book Description

Series: Computational Neuroscience | Publication Date: August 20, 2004

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.

Editorial Reviews

Review

"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

"This book represents a significant advance in computational neuroscience. Eliasmith and Anderson have developed an elegantframework 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.

Product Details

• Paperback: 376 pages
• Publisher: A Bradford Book; New Ed edition (August 20, 2004)
• Language: English
• ISBN-10: 0262550601
• ISBN-13: 978-0262550604
• Product Dimensions: 8.5 x 6.6 x 0.8 inches
• Shipping Weight: 1.3 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #1,374,649 in Books (See Top 100 in Books)

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