Emergent Neural Computational Architectures Based on Neuroscience
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 proces
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Lecture Notes in Computer Science Edited by G. Goos, J. Hartmanis and J. van Leeuwen
2036
3
Berlin Heidelberg New York Barcelona Hong Kong London Milan Paris Singapore Tokyo
Stefan Wermter Jim Austin David Willshaw (Eds.)
Emergent Neural Computational Architectures Based on Neuroscience Towards Neuroscience-Inspired Computing
13
Series Editors Jaime G. Carbonell,Carnegie Mellon University, Pittsburgh, PA, USA J¨org Siekmann, University of Saarland, Saarbr¨ucken, Germany Volume Editors Stefan Wermter University of Sunderland, Centre of Informatics, SCET St Peters Way, Sunderland SR6 0DD, UK E-mail: [email protected] Jim Austin University of York, Department of Computer Science York, Y010 5DD, UK E-mail: [email protected] David Willshaw University of Edinburgh, Institute for Adaptive and Neural Computation 5 Forrest Hill, Edinburgh, Scotland, UK E-mail: [email protected] Cataloging-in-Publication Data applied for Die Deutsche Bibliothek - CIP-Einheitsaufnahme Emergent neural computational architectures based on neuroscience : towards neuroscience inspired computing / Stefan Wermter ... (ed.). - Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer, 2001 (Lecture notes in computer science ; 2036 : Lecture notes in artificial intelligence) ISBN 3-540-42363-X
CR Subject Classification (1998): I.2, F.1, F.2.2, I.5, F.4.1, J.3 ISBN 3-540-42363-X Springer-Verlag Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg New York a member of BertelsmannSpringer Science+Business Media GmbH http://www.springer.de © Springer-Verlag Berlin Heidelberg 2001 Printed in Germany Typesetting: Camera-ready by author, data conversion by PTP Berlin, Stefan Sossna Printed on acid-free paper SPIN 10782442 06/3142 543210
Preface
This book is the result of a series of international workshops organized by the EmerNet project on Emergent Neural Computational Architectures based on Neuroscience sponsored by the Engineering and Physical Sciences Research Council (EPSRC). The overall aim of the book is to present a broad spectrum of current research into biologically inspired computational systems and hence encourage the emergence of new computational approaches based on neuroscience. It is generally understood that the present approaches to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although the
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