This guide offers support to anyone using statistics and research data on a regular or occasional basis by explaining specific indicators, classifications, terminologies, and sources in short, easy-to-understand entries. Users can dip into the guide whenever they are unsure about the meaning or scope of a specific statistical indicator or terminology, or are unclear about the nature of a specific survey or classification.
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Fundamentals of MEG and EEG: Biophysics, Instrumentation, and Data Analysis gives graduate students and researchers a technical understanding of the fundamentals of MEG and EEG that will enable them to gain expertise in the state-of-the-art, understand the generation, measurement and modeling of electromagnetic brain signals, understand the relationship of MEG/EEG with other brain imaging methods, design MEG/EEG measurement systems and evaluate their performance, and develop and evaluate data analysis methods.