LIMO EEG: a toolbox for hierarchical linear modeling of electroencephalographic data
Computational Intelligence and Neuroscience - Special issue on academic software applications for electromagnetic brain mapping using MEG and EEG
EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing
Computational Intelligence and Neuroscience - Special issue on academic software applications for electromagnetic brain mapping using MEG and EEG
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
A multi-task learning approach for the extraction of single-trial evoked potentials
Computer Methods and Programs in Biomedicine
BCI using imaginary movements: The simulator
Computer Methods and Programs in Biomedicine
Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies
Computer Methods and Programs in Biomedicine
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A recent paper [1] proposed a new technique, termed the channel reactivity-based method (CRB), for characterizing EEG alpha rhythms using individual (IAFs) and channel (CAFs) alpha frequencies. These frequencies were obtained by identifying the frequencies at which the power of the alpha rhythms decreases. In the present study, we present a graphical interactive toolbox that can be plugged into the popular open source environment EEGLAB, making it easy to use CRB. In particular, we illustrate the major functionalities of the software and discuss the advantages of this toolbox for common EEG investigations. The CRB analysis plugin, along with extended documentation and the sample dataset utilized in this study, is freely available on the web at http://bio.dei.unipd.it/crb/.