Pernet, C.R., Chauveau, N., Gaspar, C. and Rousselet, G.A. (2011) LIMO EEG: A Toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data. Computational Intelligence and Neuroscience, 2011, (doi: 10.1155/2011/831409)
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Publisher's URL: http://dx.doi.org/10.1155/2011/831409
Abstract
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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Rousselet, Dr Guillaume and Gaspar, Dr Carl |
| Authors: | Pernet, C.R., Chauveau, N., Gaspar, C., and Rousselet, G.A. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
| Journal Name: | Computational Intelligence and Neuroscience |
| Publisher: | Hindawi Publishing Corporation |
| ISSN: | 1687-5265 |
| Copyright Holders: | Copyright © 2011 The Authors |
| First Published: | First published in Computational Intelligence and Neuroscience |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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