Before revision: Correlated component analysis (CORRCA) is a novel method for frequency recognition in steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI), which holds the potential to implement high-performance SSVEP-based BCI systems.
After revision: Correlated component analysis (CORRCA) is a novel method for frequency recognition in steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). In this study, we present a hierarchical feature fusion framework which can be used to design high-performance SSVEP-based BCI systems.