Emergent Neural Computational Architectures Based on Neuroscience

Stefan Wermter

ISBN 10: 354042363X / ISBN 13: 9783540423638

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2001, 2001

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 592 pp. Englisch. Seller Inventory # 9783540423638

Bibliographic Details

Title: Emergent Neural Computational Architectures ...

Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2001

Publication Date: 2001

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

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.