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LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
Joint Authors
Gaspar, Carl
Chauveau, Nicolas
Rousselet, Guillaume A.
Pernet, Cyril R.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials.
More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip).
LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data.
In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.
American Psychological Association (APA)
Pernet, Cyril R.& Chauveau, Nicolas& Gaspar, Carl& Rousselet, Guillaume A.. 2011. LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-501650
Modern Language Association (MLA)
Pernet, Cyril R.…[et al.]. LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-501650
American Medical Association (AMA)
Pernet, Cyril R.& Chauveau, Nicolas& Gaspar, Carl& Rousselet, Guillaume A.. LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-501650
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501650