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  • 1
    Online Resource
    Online Resource
    Cambridge, Massachusetts :The MIT Press,
    UID:
    almafu_9958134382002883
    Format: 1 online resource (xviii, 578 p.) : , ill.
    ISBN: 9780262319553 (e-book) , 9780262019873 (hbk.)
    Series Statement: Issues in clinical and cognitive neuropsychology
    Content: "This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (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 the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists."--
    Note: I Introduction -- 1 The Purpose of This Book, Who Should Read It, and How to Use It -- 2 Advantages and Limitations of Time- and Time-Frequency-Domain Analyses -- 3 Interpreting and Asking Questions about Time-Frequency Results -- 4 Introduction to Matlab Programming -- 5 Introduction to the Physiological Bases of EEG -- 6 Practicalities of EEG Measurement and Experiment Design -- II Preprocessing and Time-Domain Analyses -- 7 Preprocessing Steps Necessary and Useful for Advanced Data Analysis -- 8 EEG Artifacts: Their Detection, Influence, and Removal -- 9 Overview of Time-Domain EEG Analyses -- III Frequency and Time-Frequency Domains Analyses -- 10 The Dot Product and Convolution -- 11 The Discrete Time Fourier Transform, the FFT, and the Convolution Theorem -- 12 Morlet Wavelets and Wavelet Convolution -- 13 Complex Morlet Wavelets and Extracting Power and Phase -- 14 Bandpass Filtering and the Hilbert Transform -- 15 Short-Time FFT -- 16 Multitapers -- 17 Less Commonly Used Time-Frequency Decomposition Methods -- 18 Time-Frequency Power and Baseline Normalizations -- 19 Intertrial Phase Clustering -- 20 Differences among Total, Phase-Locked, and Non-Phase-Locked Power and Intertrial Phase Consistency -- 21 Interpretations and Limitations of Time-Frequency Power and ITPC Analyses -- IV Spatial Filters -- 22 Surface Laplacian -- 23 Principal Components Analyses -- 24 Basics of Single-Dipole and Distributed-Source Imaging -- V Connectivity -- 25 Introduction to the Various Connectivity Analyses -- 26 Phase-Based Connectivity -- 27 Power-Based Connectivity -- 28 Granger Prediction -- 29 Mutual Information -- 30 Cross-Frequency Coupling -- 31 Graph Theory -- VI Statistical Analyses -- 32 Advantages and Limitations of Different Statistical Procedures -- 33 Nonparametric Permutation Testing -- 34 Within-Subject Statistical Analyses -- 35 Group-Level Analyses -- 36 Recommendations for Reporting Results in Figures, Tables, and Text -- VII Conclusions and Future Directions -- 37 Recurring Themes in This Book and Some Personal Advice -- 38 The Future of Cognitive Electrophysiology -- References -- Index -- Color Plates.
    Language: English
    Subjects: Computer Science , Psychology , Medicine
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  • 2
    Online Resource
    Online Resource
    Cambridge, Mass. [u.a] : MIT Press
    UID:
    gbv_1657792323
    Format: Online-Ressource
    Edition: Online-Ausg.
    ISBN: 9780262319553
    Series Statement: Issues in clinical and cognitive neuropsychology
    Content: "This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (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 the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists."--
    Additional Edition: ISBN 9780262019873
    Additional Edition: Erscheint auch als Druck-Ausgabe Cohen, Mike X., 1979 - Analyzing neural time series data Cambridge, Massachusetts : MIT Press, 2014 ISBN 9780262019873
    Language: English
    Subjects: Economics , Biology , Psychology
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    Keywords: Neurophysiologie ; Hirnfunktion ; Mathematisches Modell ; Computersimulation ; Neurowissenschaften
    URL: Volltext  (lizenzpflichtig)
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