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

by Peter Dayan (Author), L. F. Abbott (Author) "Neurons are remarkable among the cells of the body in their ability to propagate signals rapidly over large distances ..." (more)

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Paperback (New edition)	�29.95	�28.45	26 used & new from �19.50

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Product details

Hardcover: 576 pages
Publisher: MIT Press; illustrated edition edition (3 Dec 2001)
Language English
ISBN-10: 0262041995
ISBN-13: 978-0262041997
Product Dimensions: 25.9 x 21.2 x 3.2 cm
Average Customer Review: No customer reviews yet. Be the first.
Amazon.co.uk Sales Rank: 822,992 in Books (See Bestsellers in Books)
Popular in this category:
#50 in Books > Scientific, Technical & Medical > Biology > Computational Biology

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Product Description

Review
"It will not be surprising if this book becomes the standard text for students and researchers entering theoretical neuroscience for years to come." -- M. Brandon Westover, "Philosophical Psychology"

Product Description
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.

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Neurons are remarkable among the cells of the body in their ability to propagate signals rapidly over large distances. Read the first page

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