ENGLISH

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

By Stefan Wermter , Mark Elshaw , Jim Austin , David Willshaw (auth.) , David Willshaw (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2001
ISBN
354042363X, 9783540423638
DOI
10.1007/3-540-44597-8
Open Library ID
OL12774871M
Language
english
Format
PDF
Filesize
8 MB (8829344 bytes)
Series
Lecture Notes in Computer Science 2036 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
582\586
Library
Kolxo3
Time added
2009-12-04 00:34:26
Artificial Intelligence (incl. Robotics); Computat

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.

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