|
![]() |
|||
|
||||
OverviewFor years, researchers have used the theoretical tools of engineering to understand neural systems, but much of the 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. Full Product DetailsAuthor: Chris Eliasmith (University of Waterloo) , Charles H. AndersonPublisher: MIT Press Ltd Imprint: Bradford Books Edition: New edition Dimensions: Width: 17.80cm , Height: 1.70cm , Length: 22.90cm Weight: 0.567kg ISBN: 9780262550604ISBN 10: 0262550601 Pages: 380 Publication Date: 20 August 2004 Recommended Age: From 18 years Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Out of Stock Indefinitely Availability: In Print ![]() Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsReviewsFrom 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 Author InformationChris Eliasmith is Assistant Professor in the Department of Philosophy and the Department of Systems Design Engineering at the University of Waterloo. Charles H. Anderson is Research Professor in the Department of Anatomy and Neurobiology and the Department of Physics at Washington University, St. Louis. Tab Content 6Author Website:Countries AvailableAll regions |