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

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9780262550604: Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems (Computational Neuroscience)

Book by Eliasmith Chris Anderson Charles H

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Críticas:

"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

Reseña del editor:

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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Chris EliasmithCharles H. Anderson
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Descripción 2004. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería TM-9780262550604

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Descripción MIT Press Ltd, United States, 2004. Paperback. Estado de conservación: New. 216 x 168 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAC9780262550604

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Chris Eliasmith, Charles H. Anderson
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Descripción MIT Press Ltd, United States, 2004. Paperback. Estado de conservación: New. 216 x 168 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAC9780262550604

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Descripción 2004. PAP. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería IB-9780262550604

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Chris Eliasmith; Charles H. Anderson
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Descripción The MIT Press, 2004. Paperback. Estado de conservación: New. Nº de ref. de la librería SONG0262550601

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Descripción Paperback. Estado de conservación: New. 167mm x 19mm x 217mm. Paperback. For 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, Ch.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 356 pages. 0.553. Nº de ref. de la librería 9780262550604

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