Analyzing neural time series data: theory and practice
"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),...
Gespeichert in:
Beteilige Person: | |
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Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge, Massachusetts
The MIT Press
[2014]
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Schriftenreihe: | Issues in clinical and cognitive neuropsychology
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Links: | https://doi.org/10.7551/mitpress/9609.001.0001?locatt=mode:legacy |
Zusammenfassung: | "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."-- |
Umfang: | 1 Online-Ressource (xviii, 578 Seiten) |
ISBN: | 0262319551 1306403286 9780262319553 9781306403283 |
Internformat
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isbn | 0262319551 1306403286 9780262319553 9781306403283 |
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spelling | Cohen, Mike X. 1979- Analyzing neural time series data theory and practice Mike X. Cohen Cambridge, Massachusetts The MIT Press [2014] ©2014 1 Online-Ressource (xviii, 578 Seiten) txt c cr Issues in clinical and cognitive neuropsychology "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."-- Publisher's Web site. Erscheint auch als Druck-Ausgabe 0262019876 Erscheint auch als Druck-Ausgabe 9780262019873 |
spellingShingle | Cohen, Mike X. 1979- Analyzing neural time series data theory and practice |
title | Analyzing neural time series data theory and practice |
title_auth | Analyzing neural time series data theory and practice |
title_exact_search | Analyzing neural time series data theory and practice |
title_full | Analyzing neural time series data theory and practice Mike X. Cohen |
title_fullStr | Analyzing neural time series data theory and practice Mike X. Cohen |
title_full_unstemmed | Analyzing neural time series data theory and practice Mike X. Cohen |
title_short | Analyzing neural time series data |
title_sort | analyzing neural time series data theory and practice |
title_sub | theory and practice |
work_keys_str_mv | AT cohenmikex analyzingneuraltimeseriesdatatheoryandpractice |