Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

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Massachusetts Institute of Technology Press, 2001 - Computers - 460 pages
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Theoretical neuroscience provides a quantitative basis for describing what nervoussystems do, determining how they function, and uncovering the general principles by which theyoperate. This text introduces the basic mathematical and computational methods of theoreticalneuroscience and presents applications in a variety of areas including vision, sensory-motorintegration, 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 discussesthe modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. PartIII analyzes the role of plasticity in development and learning. An appendix covers the mathematicalmethods used, and exercises are available on the book's Web site.

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About the author (2001)

Peter Dayan is on the faculty of the Gatsby Computational Neuroscience Unit at University College London.

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