Theoretical neuroscience
Subtitle: computational and mathematical modeling of neural systems
By: Peter Dayan and L.F.  Abbott.
Contributors: Abbott, L. F.
Series: Computational neuroscience
Publisher: Massachusetts Institute of Technology Press; The MIT Press
Published: 2001
Place of publication: Cambridge, Mass
Language: eng
Number of pages: 460
ISBN-13: 9780262041997; 9780262541855
Subjects: Neural networks (Neurobiology) -- Computer simulation; Human information processing -- Computer simulation; Computational neuroscience
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."--BOOK JACKET.
Notes: Includes bibliographical references (p. [419]-438) and index.

Also available via the World Wide Web.
Table of contents: title: Neural encoding I: firing rates and spike statistics; title: Neural encoding II: reverse correlation and visual receptive fields; title: Neural decoding; title: Information theory; title: Model neurons I: neuroelectronics; title: Model neurons II: conductances and morphology; title: Network models; title: Plasticity and learning; title: Classical conditioning and reinforcement learning; title: Representational learning; title: Mathematical appendix.