For subjects:

Create single trials from EEG.set: allows to create single trials erp, ersp, itc, spectrum for channels and ica.

Split Continuous files per conditions: if you have a continuous file with one or many columns corresponding to the trials, it can be useful to split this per experimental conditions, allowing not only accounting for these variables but also looking at how it changes with conditions. This function does just that for you – note that 0 are added to z-scored data, which implies that during the model specification you have to turn the z-scoring off (do not z-score = 1).

Create multiple EEG files using the design matrix: Allows exporting the various conditions (trials) coded in the design matrix into single files.

Update LIMO paths: LIMO.mat files created during any analyses also keep track of where your data are stored. If you move the files to another location, use this tool to update the paths.

For group:

Check single trial weights: check that weights aren’t biased toward a condition

Create an expected chanloc file: In order to analyze data across subject we need to create a common space – this is achieved by reading the channel description of your subjects and creating a file that uses electrodes that are in common.

Make an electrode optimized vector: This allows to create a vector that contain the description of the electrodes to use subject-wise, i.e. data are analyzed for one electrode only but this electrode can be different for each subject. This also create a map plotting the location and frequency of the electrodes chosen.