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

Biology

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