Theoretical Neuroscience

Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems

4.28 (159 ratings by Goodreads)
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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 more

Product details

  • Paperback | 480 pages
  • 200.7 x 251.5 x 25.4mm | 929.88g
  • MIT Press Ltd
  • MIT Press
  • Cambridge, Mass., United States
  • English
  • Revised ed.
  • 165 illus.
  • 0262541858
  • 9780262541855
  • 145,541

Review quote

It will not be surprising if this book becomes the standard text for students and researchers entering theoretical neuroscience for years to come. -- M. Brandon Westover * Philosophical Psychology * Not only does the book set a high standard for theoretical neuroscience, it defines the field. -- Dmitri Chklovskii * Neuron *show more

About Peter Dayan

L.F. Abbott is the Nancy Lurie Marks Professor of Neuroscience and Director of the Volen Center for Complex Systems at Brandeis University. He is the coeditor of Neural Codes and Distributed Representations (MIT Press, 1999).show more

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159 ratings
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2 6% (9)
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