Theoretical neuroscience : computational and mathematical modeling of neural systems

Author(s)

• Dayan, Peter
• Abbott, L.

Bibliographic Information

Theoretical neuroscience : computational and mathematical modeling of neural systems

Peter Dayan and L.F. Abbott

（Computational neuroscience）

MIT Press, c2001

• : hc
• : pbk

Note

Includes bibliographical references (p. [419]-438) and index

Description and Table of Contents

Volume

: hc ISBN 9780262041997

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.

Volume

: pbk ISBN 9780262541855

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.

by "Nielsen BookData"

Details

• NCID: BA54385591
• ISBN:
  • 9780262041997
  • 9780262541855
• LCCN: 2001044005
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Cambridge, Mass. ; London
• Pages/Volumes: xv, 460 p.
• Size: 26 cm
• Classification:
  • LCC : QP363.3
  • DC21 : 573.8/01/13
• Subject Headings:
  • LCSH : Neural networks (Neurobiology) -- Computer simulation
  • LCSH : Human information processing -- Computer simulation
  • LCSH : Computational neuroscience
• Parent Bibliography ID:
  • BA07230443