Abstract:
Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge coupled with feedback training, while state-of-the-art interfaces rely on data-driven, machine learning (ML)- oriented methods. Despite the advances in BCI that ML can be credited with, the performance of BCI solutions is still not up to the …