The construction and analysis of mathematical and computational models of neural systems. Series: Computational Neuroscience. Num Pages: 480 pages, 165 illus. BIC Classification: PSAN; UGK. Category: (P) Professional & Vocational. Dimension: 253 x 202 x 23. Weight in Grams: 946. . 2005. New Ed. Paperback. . . . .

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Bibliographic Details

Title: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Publisher: MIT Press Ltd
Publication Date: 2005
Language: English
ISBN 10: 0262541858
ISBN 13: 9780262541855
Binding: Soft cover
Condition: New

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 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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