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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Abbott, L. F.,Dayan, Peter
Published by The MIT Press, 2001
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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 on the faculty of the Gatsby Computational Neuroscience Unit at University College London.
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Bibliographic Details
Title: Theoretical Neuroscience: Computational and ...
Publisher: The MIT Press
Publication Date: 2001
Binding: Hardcover
Condition: Good