Validating Neuro-Computational Models of Neurological and Psychiatric Disorders
This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific prob
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Series Editors Alain Destexhe CNRS, UPR -2191, UNIC, Gif-sur-Yvette, France Romain Brette Institut de la Vision, Paris, France
Computational Neuroscience gathers monographs and edited volumes on all aspects of computational neuroscience, including theoretical and mathematical neuroscience, biophysics of the brain, models of neurons and neural networks, and methods of data analysis (e.g. information theory). The editors welcome suggestions and projects for inclusion in the series. About the Editors: Alain Destexhe is Research Director at the Centre National de la Recherche Scientifique (CNRS), France, and Romain Brette is Research Director at the Institut National de la Santé et de la Recherche Médicale (INSERM), France. More information about this series at http://www.springer.com/series/8164
Basabdatta Sen Bhattacharya Fahmida N. Chowdhury Editors
Validating NeuroComputational Models of Neurological and Psychiatric Disorders
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Editors Basabdatta Sen Bhattacharya School of Engineering University of Lincoln Lincoln United Kingdom
Fahmida N. Chowdhury Office of Multidisciplinary Activities National Science Foundation Arlington Virginia USA
ISSN 2197-1900 ISSN 2197-1919 (electronic) Springer Series in Computational Neuroscience ISBN 978-3-319-20036-1 ISBN 978-3-319-20037-8 (eBook) DOI 10.1007/978-3-319-20037-8 Library of Congress Control Number: 2015951468 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Foreword
There is a long and successful tradition of using mathematical modelling to advance understanding in the neurosciences. The seminal example being the work of Alan Hodgkin and Andrew Huxley on the action potential dating back to the 1950s. As well as being seen as a tool for complementing our understanding
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