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  Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Dayan, P., & Abbott, L. (2001). Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, MA, USA: MIT Press.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-64F7-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-BFF7-1
Genre: Book

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 Creators:
Dayan, P1, Author              
Abbott, LF, Author
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1External Organizations, ou_persistent22              

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 Abstract: 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.

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 Dates: 2001
 Publication Status: Published in print
 Pages: 460
 Publishing info: Cambridge, MA, USA : MIT Press
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISSN: 0-262-54185-8
 Degree: -

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