Analyzing neural time series data : theory and practice / Mike X. Cohen.
"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),...
Saved in:
| Online Access: |
Full Text (via EBSCO) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Massachusetts :
The MIT Press,
[2014]
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| Series: | Issues in clinical and cognitive neuropsychology.
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| Subjects: |
| Summary: | "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."-- |
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| Physical Description: | 1 online resource (xviii, 578 pages, 16 unnumbered pages of plates) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 549-572) and index. |
| ISBN: | 9780262319553 0262319551 1306403286 9781306403283 |
| Source of Description, Etc. Note: | Print version record. |