Time Series Modeling of Neuroscience Data

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Focusing on the advancements in time series models, this book explores their application in analyzing neuroscience data, including EEG, MEG, fMRI, and NIRS. Authored by a pioneer in the field, it serves as a comprehensive guide for both applied statisticians and quantitatively trained neuroscientists. The text is enriched with real-world examples and offers a computational toolbox online, empowering readers to implement these methods on actual datasets.