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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural
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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Paperback - 2005 - 1st Edition

by Peter Dayan; Laurence F. Abbott


From the publisher

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

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Details

  • Title Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
  • Author Peter Dayan; Laurence F. Abbott
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Pages 480
  • Volumes 1
  • Language ENG
  • Publisher MIT Press
  • Date September 1, 2005
  • Illustrated Yes
  • ISBN 9780262541855 / 0262541858
  • Weight 2.07 lbs (0.94 kg)
  • Dimensions 10 x 7.76 x 0.87 in (25.40 x 19.71 x 2.21 cm)
  • Ages 18 to UP years
  • Grade levels 13 - UP
  • Library of Congress Catalog Number 2001044005
  • Dewey Decimal Code 573.801

About the author

Peter Dayan is Professor and Director of the Gatsby Computational Neuroscience Unit at University College London. Larry Abbott is Professor of Neuroscience and Co-Director of the Center for Theoretical Neuroscience at Columbia University.
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