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Analyzing neural time series data : theory and practice /

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"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),...

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Bibliographic Details
Main Author: Cohen, Mike X., 1979- (Author)
Format: eBook
Language:English
Published: Cambridge, Massachusetts : The MIT Press, [2014]
Series:Issues in clinical and cognitive neuropsychology
Subjects:
Neural networks (Neurobiology)
Neural networks (Computer science)
Computational neuroscience.
Artificial intelligence > Biological applications.
NEUROSCIENCE/General
COGNITIVE SCIENCES/General
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
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."--
Physical Description:1 online resource (xviii, 578 pages, 16 unnumbered pages of plates) : illustrations.
ISBN:9780262319553
0262319551
1306403286
9781306403283
DOI:10.7551/mitpress/9609.001.0001