Signal Processing in Neuroscience
This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neu
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Signal Processing in Neuroscience
Signal Processing in Neuroscience
Xiaoli Li Editor
Signal Processing in Neuroscience
123
Editor Xiaoli Li State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing, China
ISBN 978-981-10-1821-3 ISBN 978-981-10-1822-0 (eBook) DOI 10.1007/978-981-10-1822-0 Library of Congress Control Number: 2016951459 © Springer Science+Business Media Singapore 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media Singapore Pte Ltd.
Contents
1
Brief History and Development of Electrophysiological Recording Techniques in Neuroscience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zhuo Huang
1
2
Adaptive Spike Sorting with a Gaussian Mixture Model . . . . . . . . . . . . . . Zheng Li
11
3
Causality of Spike Trains Based on Entropy . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zhaohui Li and Xiaoli Li
39
4
Quantification of Spike-LFP Synchronization . . . . . . . . . . . . . . . . . . . . . . . . . . Zhaohui Li and Xiaoli Li
57
5
Artifact Removal in EEG Recordings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ke Zeng and Xiaoli Li
77
6
Order Time Series Analysis of Neural Signals . . . . . . . . . . . . . . . . . . . . . . . . . . Gaoxiang Ouyang and Xiaoli Li
99
7
Dynamical Similarity Analysis of EEG Recordings . . . . . . . . . . . . . . . . . . . . 111 Gaoxiang Ouyang and Xiaoli Li
8
Entropy Measures in Neural Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 Zhenhu Liang, Xuejing Duan, and Xiaoli Li
9
Synchronization Measures in EEG Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 Zhenhu Liang, Yang Bai, Ye Ren, and Xiaoli Li
10
Estimating Coupling Direction Between Neuronal Populations . . . . . . . 203 Gaoxiang Ouyang and Xiaoli Li
11
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