In this study, we tried to design a novel brain-computer interface (BCI) framework that can decode decisions (movement intentions) and underlying strategies at the same time. We named this novel BCI as a meta-BCI and classified the learning strategies with high accuracy (98%). Moreover, the movement intentions, which is not separable in a conventional BCI framework, has decoded with high accuracy (84%).
Contact: D.-J. Kim (firstname.lastname@example.org)