This book offers a comprehensive guide to the theory and practice of analyzingelectrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlabprogramming) aspects of time-, time-frequency- and synchronization-based analyses ofmagnetoencephalography (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 thetheoretical background and the implementation in language that can be understood by readers withoutextensive formal training in mathematics, including cognitive scientists, neuroscientists, andpsychologists.
Readers who go through the book chapter by chapter and implementthe examples in Matlab will develop an understanding of why and how analyses are performed, how tointerpret results, what the methodological issues are, and how to perform single-subject-level andgroup-level analyses. Researchers who are familiar with using automated programs to perform advancedanalyses will learn what happens when they click the "analyze now" button. The bookprovides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysistopic, and these topics progress from simple to advanced. Most chapters conclude with exercises thatfurther develop the material covered in the chapter. Many of the methods presented (includingconvolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork forother advanced data analysis methods. Readers who master the methods in the book will be wellprepared to learn other approaches.
Mike X Cohen is a Research Scientist in the Department of Psychology at the University of Amsterdam.
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