Coherent Behavior in Neuronal Networks
Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dynamic network behaviors underlie information processing, a
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Volume 3
Series Editors Alain Destexhe Unit´e de Neurosciences Int´egratives et Computationnelles (UNIC) CNRS Gif-sur-Yvette France Romain Brette Equipe Audition (ENS/CNRS) ´ Cognitives D´epartement d’Etudes ´ Ecole Normale Sup´erieure Paris France
For other titles published in this series, go to http://www.springer.com/series/8164
Kreˇsimir Josi´c • Jonathan Rubin Manuel A. Mat´ıas • Ranulfo Romo Editors
Coherent Behavior in Neuronal Networks
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Editors Kreˇsimir Josi´c Dept. Mathematics University of Houston 651 Phillip G. Hoffman Hall Houston TX 77204-3008 USA [email protected]
Manuel A. Mat´ıas IFISC CSIC-UIB 07122 Palma de Mallorca Spain [email protected]
Jonathan Rubin Dept. Mathematics University of Pittsburgh 301 Thackeray Hall Pittsburgh PA 15260 USA [email protected]
Ranulfo Romo Universidad Nacional Aut´onoma de M´exico Instituto de Fisiolog´ıa Celular 04510 Mexico, D.F. Mexico [email protected]
Cover illustration: Neuronal Composition. Image by Treina Tai McAlister.
ISBN 978-1-4419-0388-4 e-ISBN 978-1-4419-0389-1 DOI 10.1007/978-1-4419-0389-1 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009926178 c Springer Science+Business Media, LLC 2009 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
New developments in experimental methods are leading to an increasingly detailed description of how networks of interacting neurons process information. These findings strongly suggest that dynamic network behaviors underlie information processing, and that these activity patterns cannot be fully explained by simple concepts such as synchrony and phase locking. These new results raise significant challenges, and at the same time offer exciting opportunities, for experimental and theoretical neuroscientists. Moreover, advances in understanding in this area will require interdisciplinary efforts aimed at developing improved quantitative models that provide new insight into the emergence and function of experimentally observed behaviors and lead to predictions that can guide future experimental investigations. We have undertaken two major projects to promote the translation of these new developments into scientific progress. First, we organized the workshop Coherent behavior in neuronal
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