Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

by Laurence F. Abbott, Peter Dayan

Overview

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.

Product Details

ISBN-13:	9780262311427
Publisher:	MIT Press
Publication date:	08/12/2005
Series:	Computational Neuroscience Series
Sold by:	Penguin Random House Publisher Services
Format:	eBook
Pages:	480
File size:	10 MB

About the Author

Larry Abbott is Professor of Neuroscience and Co-Director of the Center for Theoretical Neuroscience at Columbia University.

Peter Dayan is Professor and Director of the Gatsby Computational Neuroscience Unit at University College London.