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Analyzing Neural Time Series Data: Theory and Practice
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Analyzing Neural Time Series Data: Theory and Practice
This comprehensive guide offers a thorough understanding of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.
With 38 chapters covering various analysis topics, readers will learn the conceptual, mathematical, and implementational aspects of time-, time-frequency- and synchronization-based analyses.
The book provides sample data and downloadable Matlab code, allowing readers to develop an understanding of why and how analyses are performed, interpret results, and perform single-subject-level and group-level analyses.
Whether you're a cognitive scientist, neuroscientist, or psychologist, this book is the perfect resource for anyone looking to gain a deeper understanding of electrical brain signal analysis.
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