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Fwd: book announcement--Eliasmith
- To: Multiple recipients of list CLIN_NEUROPHYSIOL <CLIN_NEUROPHYSIOL@listserv.umu.se>
- Subject: Fwd: book announcement--Eliasmith
- From: Erik Nordh <erik.nordh@NEURO.UMU.SE>
- Date: Tue, 14 Jan 2003 10:36:47 +0100
- Reply-To: Professional discussions of neurophysiology <CLIN_NEUROPHYSIOL@listserv.umu.se>
- Sender: Professional discussions of neurophysiology <CLIN_NEUROPHYSIOL@listserv.umu.se>
Forwarded message to the list
>Date: Tue, 07 Jan 2003 12:12:26 -0500
>To: <CLIN_NEUROPHYSIOL-request@listserv.umu.se>
>From: David Weininger <dgw@MIT.EDU>
>Subject: book announcement--Eliasmith
>X-Organization: The MIT Press
>X-RecID: 2414
>
>
>I thought readers of the Professional discussions of neurophysiology
>list might be interested in this book. For more information please
>visit http://mitpress.mit.edu/0262050714
>
>Neural Engineering
>Computation, Representation, and Dynamics in Neurobiological Systems
>Chris Eliasmith and Charles H. Anderson
>
>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. oftware 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.
>
>Chris 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.
>
>"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
>
>7 x 9, 376 pp., 104 illus., cloth, ISBN 0-262-05071-4
>
>Computational Neuroscience series
>A Bradford Book
>
>______________________
>David Weininger
>Associate Publicist
>The MIT Press
>5 Cambridge Center, 4th Floor
>Cambridge, MA 02142
>617 253 2079
>617 253 1709 fax
>http://mitpress.mit.edu