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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan
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Theoretical Neuroscience: Computational and Mathematical Modeling of…

by Peter Dayan

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Unique in its breath and scope. Some parts are hard to read if you are not neuroscientist. ( )
  beeswax | Sep 13, 2008 |
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Wikipedia in English (5)

Computational neuroscience

Independent-spike coding

Population coding

Sparse coding

Temporal coding

Book description

Amazon.com Product Description (ISBN 0262041995, Hardcover)

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.

(retrieved from Amazon Fri, 24 Apr 2009 07:58:20 -0400)

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