Analysis of Neural Data
Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of N
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Robert E. Kass Uri T. Eden Emery N. Brown
Analysis of Neural Data
Springer Series in Statistics
Series editors Peter Bickel, Berkeley, CA, USA Peter Diggle, Lancaster, UK Stephen E. Fienberg, Pittsburgh, PA, USA Ursula Gather, Dortmund, Germany Ingram Olkin, Stanford, CA, USA Scott Zeger, Baltimore, MD, USA
For further volumes: http://www.springer.com/series/692
Robert E. Kass Uri T. Eden Emery N. Brown •
Analysis of Neural Data
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Emery N. Brown Massachusetts Institute of Technology Cambridge, MA USA
Robert E. Kass Carnegie Mellon University Pittsburgh, PA USA Uri T. Eden Boston University Boston, MA USA
ISSN 0172-7397 ISBN 978-1-4614-9601-4 DOI 10.1007/978-1-4614-9602-1
ISSN 2197-568X (electronic) ISBN 978-1-4614-9602-1 (eBook)
Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013955054 Springer Science+Business Media New York 2014, Corrected at 2nd printing 2014 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To our families
Preface
This book serves as a guide and reference for anyone who wishes to understand analysis of neural data generated from studies that range from molecules, to circuits, to systems, to behavior. Its origins may be traced to the decision by two of us (E.N.B. and R.E.K.), in 1998, to wr
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