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Analyzing Neural Time Series Data
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For years, I have wished for a comprehensive and pragmatic volume that really explained -- in plain English -- the many complex techniques that are so often used in electrophysiological research. Although there are chapters in handbooks, and even entire books on digital signal processing, none are as comprehensive, pragmatic, lucid, or entertaining as Analyzing Neural Time Series Data. -- John J. B. Allen, University of Arizona This impressive book is something I have been hoping for for years. It is meticulously organized to lead the knowledgeable novice to time series analyses from concept to actual implementation. Importantly, it is written to assume little advance knowledge of the topic, but to result in actionable understanding. Michael X Cohen has done the community a great service. -- George R. Mangun, University of California, Davis This book provides a technically rigorous, practical, and thorough survey of the major computational and statistical methods used in the time-frequency analysis of electrophysiological signals. Written in a lucid and engaging manner, Cohen's treatment will prove essential reading for both students and seasoned scholars, offering the former a clear roadmap into this exciting area of research and offering the latter an invaluable reference for nearly all of the major techniques. In putting this treatise together Cohen has done a great service for the burgeoning field of cognitive electrophysiology. -- Michael J. Kahana, University of Pennsylvania

About the Author

Mike X Cohen is Assistant Professor in the Donders Institute for Brain, Cognition, and Behavior at the Radboud University and University Medical Center, Nijmegan, the Netherlands. He is the author of Analyzing Neural Time Series Data: Theory and Practice (MIT Press).

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