Advances in Neuromorphic Memristor Science and Applications
Posited by Professor Leon Chua at UC Berkeley more than 40 years ago, memristors, a nonlinear element in electrical circuitry, are set to revolutionize computing technology. Finally discovered by scientists at Hewlett-Packard in 2008, memristors gen
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Springer Series in Cognitive and Neural Systems Volume 4 Series Editors John G. Taylor King’s College, London, UK Vassilis Cutsuridis Boston University, Boston, MA, USA
For further volumes: http://www.springer.com/series/8572
Robert Kozma • Robinson E. Pino Giovanni E. Pazienza Editors
Advances in Neuromorphic Memristor Science and Applications
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Editors Prof. Dr. Robert Kozma Department of Mathematical Sciences The University of Memphis Memphis, TN USA
Giovanni E. Pazienza Department of Mathematical Sciences The University of Memphis Memphis, TN USA
Robinson E. Pino Air Force Research Laboratory Rome, NY USA
ISBN 978-94-007-4490-5 ISBN 978-94-007-4491-2 (eBook) DOI 10.1007/978-94-007-4491-2 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2012941404 © Springer Science+Business Media Dordrecht 2012 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
We are delighted to present this volume which gives a state-of-art overview of neuromorphic memristor theory, its technical aspects, and practical implementations. The book discusses fundamental concepts of memristors and their relevance in various disciplines, including physics, neuroscience, computer science and engineering. It reviews computational models and simulations of memristors with special emphasis on neuromorphic designs. Hardware embodiments with memristive properties and applications are described as well, including nano-technology, intelligent systems, computer vision, large-scale optimization, and robotics. The materials presented here are based on the invited and contributed talks given at the Special Sessions on neuromorpic memristor technology at the IEEE/INNS IJCNN2011 Conference, as well as the he workshop on “Future Perspectives of Neuromorphic Memristor Science & Technology” at IJCNN2011. The editors of this book are the organizers of these series of memristor-related activities in July/August 2011, in San Jose, CA, USA. The intended audience of this book includes neuroscientists, computational scientists and engineers interested in learning about the rapidly developing field of memristor science and technology. The book is self-contained and provides a comprehensive description of memristor fundamentals, modeling, and potential applications. This will facilitate classroom adaptations and makes it suitable as a textbook in advanced graduate courses. It is conceivable that the learning effects so eloquently displayed my memristors are in fact manifestations of memristive behavior in the neural tissue. In this case memristors indeed could be th
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