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Bibliographic Details

Title

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience)

Publisher

MIT Press

Publication Date

2005

Language

English

ISBN 10

0262541858

ISBN 13

9780262541855

Binding

Soft cover

Condition

good

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About this title

Synopsis

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.

About the Authors

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).

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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