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Original Essays | September 18, 2014

Lin Enger: IMG Knowing vs. Knowing



On a hot July evening years ago, my Toyota Tercel overheated on a flat stretch of highway north of Cedar Rapids, Iowa. A steam geyser shot up from... Continue »
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Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)

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Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology) Cover

 

Synopses & Reviews

Publisher Comments:

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 Euler's 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.

About the Author

Mike X Cohen is a Research Scientist in the Department of Psychology at the University of Amsterdam.

Product Details

ISBN:
9780262019873
Author:
Cohen, Mike X.
Publisher:
MIT Press (MA)
Author:
Massachusetts Institute of Technology
Location:
Cambridge
Subject:
Health and Medicine-Medical Specialties
Subject:
Neuropsychology
Copyright:
Series:
Issues in Clinical and Cognitive Neuropsychology Analyzing Neural Time Series Data
Publication Date:
20140131
Binding:
HARDCOVER
Grade Level:
from 17
Language:
English
Illustrations:
243 band#38;w illus., 28 color plates
Pages:
600
Dimensions:
9 x 8 x 1 in

Related Subjects

Health and Self-Help » Health and Medicine » Medical Specialties
Health and Self-Help » Psychology » Mind and Consciousness
History and Social Science » Politics » General

Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology) New Hardcover
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Product details 600 pages MIT Press (MA) - English 9780262019873 Reviews:
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