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README.md

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 # eeg_commander
-This is a MATLAB pipeline for easy-to-program automated pre-processing of electroencephalogram (EEG) data using independent component analysis (ICA) and robust artifact thresholding. It is intended to work similar to a plug-in for the EEGLAB (https://sccn.ucsd.edu/eeglab/index.php) software suite, but it additionally contains low-level functions that work on simpler data arrays (e.g., 2- or 3-dimensional matrices) that may be useful for commandline artifact detection and removal. Generally, the EEG pipeline is designed to successively prune EEG artifacts identified in 1) one-second contiguous segments in the continuous data, in 2) grossly bad data channels, in 3) spatiotemporal stereotyped ICA artifacts, and in 4) channel/time-segments (e.g., trial epochs). 
+This is a MATLAB pipeline for easy-to-program automated pre-processing of electroencephalogram (EEG) data using independent component analysis (ICA) and statistically-robust detection of artifacts. It is intended to work similar to a plug-in for the EEGLAB (https://sccn.ucsd.edu/eeglab/index.php) software suite, but it additionally contains low-level functions that work on simpler data arrays (e.g., 2- or 3-dimensional matrices) that may be useful for commandline artifact detection and removal. Generally, the EEG pipeline is designed to successively prune EEG artifacts identified in 1) one-second contiguous segments in the continuous data, in 2) grossly bad data channels, in 3) spatiotemporal stereotyped ICA artifacts, and in 4) channel/time-segments (e.g., trial epochs). 
 
 # Notable features of the EEG pipeline include:
 * Removal of independent components that match spatial and temporal criterion (e.g., blinks, saccades)