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Mike X. Cohen - Analyzing Neural Time Series Data: Theory and Practice

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Analyzing Neural Time Series Data: Theory and Practice
Author:
Mike X Cohen
Publisher:
MIT Press
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2014
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Analyzing Neural Time Series Data: Theory and Practice: summary, description and annotation

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A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists.Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the analyze now button.The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Eulers formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

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Table of Contents

List of figures

Chapter 1
Chapter 2
Chapter 3
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
Chapter 16
Chapter 17
Chapter 18
Chapter 19
Chapter 20
Chapter 22
Chapter 23
Chapter 24
Chapter 25
Chapter 26
Chapter 27
Chapter 28
Chapter 29
Chapter 30
Chapter 31
Chapter 32
Chapter 33
Chapter 34
Chapter 35
Chapter 36

Guide

Analyzing Neural Time Series Data

Issues in Clinical and Cognitive Neuropsychology

Jordan Grafman, series editor

Patient-Based Approaches to Cognitive Neuroscience
Martha J. Farah and Todd E. Feinberg, editors

Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning
Mark A. Gluck and Catherine E. Myers

Neurological Foundations of Cognitive Neuroscience
Mark DEsposito, editor

The Parallel Brain: The Cognitive Neuroscience of the Corpus Callosum
Eran Zeidel and Marco Iacoboni, editors

Fatigue as a Window to the Brain
John DeLuca, editor

Patient-Based Approaches to Cognitive Neuroscience, Second Edition
Martha J. Farah and Todd E. Feinberg, editors

Neurogenetic Developmental Disorders: Variation of Manifestation in Childhood
Michle M. Mazzocco and Judith L. Ross, editors

The Genetics of Cognitive Neuroscience
Terry E. Goldberg and Daniel R. Weinberger, editors

Analyzing Neural Time Series Data: Theory and Practice
Mike X Cohen

Analyzing Neural Time Series Data

Theory and Practice

Mike X Cohen

The MIT Press

Cambridge, Massachusetts

London, England

2014 Massachusetts Institute of Technology

All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.

or write to Special Sales Department.

This book was set in ITC Stone Serif Std by Toppan Best-set Premedia Limited, Hong Kong.

Library of Congress Cataloging-in-Publication Data

Cohen, Mike X, 1979

Analyzing neural time series data : theory and practice / Mike X Cohen.

pagescm.(Issues in clinical and cognitive neuropsychology)

Includes bibliographical references and index.

ISBN 978-0-262-01987-3 (hardcover : alk. paper)1. Neural networks (Neurobiology)2. Neural networks (Computer science)3. Computational neuroscience.4. Artificial intelligenceBiological applications.I. Title.

QP363.3.C6332014

612.82339dc23

2013016461

1098765432

d_r0

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