“…Moreover, it could be used to transfer from a generalized classifier that could be used initially to avoid collecting user-specific training data for the BCI before the actual rehabilitation training starts to an individualized classifier. It has been shown in several studies that ErrPs can be decoded (see [ 9 , 10 ] for a review about decoding ErrPs) and how the performance of the decoder can be optimized using different types of features [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ], classifiers [ 11 , 12 , 17 , 18 , 22 , 23 ], time windows [ 24 , 25 , 26 ], and channels [ 17 , 25 , 27 , 28 ]. Moreover, it has been shown that generalized ErrP detectors can be transferred across different tasks and types of ErrPs such as observation and interaction ErrPs, across participants, and time which eliminates the need for calibration (see, e.g., [ 11 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ]).…”