Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Peter Dayan

ISBN 10: 0262541858 / ISBN 13: 9780262541855

Published by MIT Press Ltd, 2005

About this Item

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. . . . . Seller Inventory # V9780262541855

Bibliographic Details

Title: Theoretical Neuroscience: Computational and ...

Publisher: MIT Press Ltd

Publication Date: 2005

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.