added strongly suggest eeglab v14 to the README

Author: sjburwell

README.md

@@ -1,5 +1,5 @@
 # eeg_commander
-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). 
+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). _It is strongly recommended that EEGLAB version 14.1.1b  or above is in the user's MATLAB path._
 
 # Notable features of the EEG pipeline include:
 * Removal of independent components that match spatial and temporal criterion (e.g., blinks, saccades)