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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), 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."--OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge : The MIT Press., 2014

Collation

1 online resource (xviii, 578 pages, 16 unnumbered pages of plates) :illustrations.

Language

English

ISBN/ISSN

9780262319553

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Artificial Intelligence
NEURAL NETWORKS (COMPUTER SCIENCE)
Neural networks (Neurobiology)
Computational neuroscience.

Specific Detail Info

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Statement of Responsibility

Mike X. Cohen.

Other Information

Cataloger

oci

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/9609.001.0001

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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