Analyzing neural time series data : theory and practice /

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Bibliographic Details
Author / Creator:	Cohen, Mike X., 1979- author.
Imprint:	Cambridge, Massachusetts : The MIT Press, [2014] ©2014
Description:	1 online resource (xviii, 578 pages, 16 unnumbered pages of plates) : illustrations
Language:	English
Series:	Issues in clinical and cognitive neuropsychology Issues in clinical and cognitive neuropsychology.
Subject:	Neural networks (Neurobiology) Neural networks (Computer science) Computational neuroscience. Artificial intelligence -- Biological applications. Neural circuitry. Nerve Net Neural Networks, Computer Neural circuitry. Artificial intelligence -- Biological applications. Computational neuroscience. Neural networks (Computer science) Neural networks (Neurobiology)
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11218636

Hidden Bibliographic Details
ISBN:	9780262319553 0262319551 1306403286 9781306403283 9780262019873 0262019876
Notes:	Includes bibliographical references (pages 549-572) and index. English. Print version record.
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."--
Other form:	Print version: Cohen, Mike X., 1979- Analyzing neural time series data. Cambridge, Massachusetts : The MIT Press, [2014] 9780262019873

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