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),...
Autor principal: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Cambridge, Massachusetts :
The MIT Press
[2014]
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Colección: | EBSCO Academic eBook Collection Complete.
Issues in clinical and cognitive neuropsychology. |
Acceso en línea: | Conectar con la versión electrónica |
Ver en Universidad de Navarra: | https://innopac.unav.es/record=b3560539x*spi |
Sumario: | "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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Descripción Física: | xviii, 578 p., [16] p. de lám. : il |
Formato: | Forma de acceso: World Wide Web. |
Bibliografía: | Incluye referencias bibliográficas (p. 549-572) e índice. |
ISBN: | 9780262319553 9781306403283 |