Emergent Neural Computational Architectures Based on Neuroscience Towards Neuroscience-Inspired Computing

Wermter, Stefan & Jim Austin & David Willshaw

ISBN 10: 354042363X / ISBN 13: 9783540423638

Verlag: Springer, Berling Heidelberg New York, 2001

Beschreibung

Edited by Stefan Wermter, Jim Austin, and David Willshaw. Berlin Heidelberg, New York: Springer, (2001). Large 8vo. x,577pp, Index. Softcover, near fine condition (light wear to rear cover). Presents a "broad spectrum of current research into biologically inspired computational systems and hence encourage the emergence of new computational approaches based on neuroscience". ISBN 354042363X; Lecture Notes In Artificial Intelligence 2036; Several figures; Large 8vo ; 592 pages.

Bestandsnummer des Verkäufers 9118

Bibliografische Details

• Titel: Emergent Neural Computational Architectures Based on Neuroscience Towards Neuroscience-Inspired Computing
• Verlag: Springer, Berling Heidelberg New York
• Erscheinungsjahr: 2001
• Sprache: Englisch
• ISBN-10: 354042363X
• ISBN-13: 9783540423638
• Einband: Softcover
• Zustand: Near Fine
• Zustand des Schutzumschlags: No Dust Jacket As Issued

Über diesen Titel

Inhaltsangabe

It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.