ERPLAB Studio Panels: BESTsets

The BESTsets panel in the Pattern Classification tab allows you to see and control which BESTsets are currently loaded, select which BESTsets are currently active, and perform simple operations on these BESTsets. BESTsets are automatically loaded when you create BESTsets using the Extract Bin-Based Single Trials (BEST) panel in the EEG tab. You can also load BESTset using the Load button.

You select a BESTset by clicking on it, and you can select multiple BESTsets by shift-clicking, control-clicking, option-clicking, etc. Selecting one or more BESTsets causes them to be used as the inputs to ERPLAB’s pattern classification (decoding) functions.

You can Duplicate or Rename the selected BESTsets, and you can click Add Suffix to add the same suffix to the BESTset name for each selected BESTset.

The Save button saves the selected BESTsets to disk as .best files. If a selected BESTset is already linked to a file (e.g., it was loaded from disk or saved to disk in the current session), the current version will simply overwrite the previous file. If the BESTset is not linked to a file, it will be saved as a file in the Current Folder using the BESTset name for the filename.

The Save a Copy button is similar to the Save As... operation that is used in many software packages. It duplicates the current BESTsets and then saves them to .best files on disk (using filenames that you select).

The Refresh button is used to synchronize ERPLAB Studio with the ALLBEST data structure. It is typically used when a script has created or modified one or more BESTsets while ERPLAB Studio is running. For example, imagine that you run a script that adds new BESTsets to the ALLBEST variable. ERPLAB Studio won’t know that this variable has changed, so it won’t change the list of BESTsets in the BESTsets panel. If you click Refresh, the BESTsets panel will be updated to include the new BESTsets.

The Current Folder button is used to change Matlab's current folder, which determines the first place Matlab looks for files.