Emergent Neural Computational Architectures Based on Neuroscience
Subtitle: Towards Neuroscience-Inspired Computing (Lecture Notes in Computer Science)
Contributors: Stefan Wermter (Editor); Jim Austin (Editor); David Willshaw (Editor)
Edition: 1 edition
Publisher: Springer; Springer-Verlag
Published: August 24, 2001
Language: eng
Format: Paperback
Number of pages: 577
ISBN-13: 9783540423638
Subjects: Neural Networks; Neurosciences; Numerical analysis; Neural Computing; Computers; Computers - General Information; Computer Books: General; Artificial Intelligence - General; General; Neurology - General; Neuroscience; Computers / Artificial Intelligence; Neural computation; bio-inspired computing; Computer Architecture - General; Computer Architecture; Neural computers; Neural networks (Computer scie; Neural networks (Computer science)
Description: 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.