I is to incorporate various neurofeedbacks to train subjects to modulate EEG brain patterns and parameters such as ERPs, ERD, SMR, P300 or slow cortical potentials (SCPs) to meet a specific criterion or to learn self-regulations skills. The subject then changes their EEG patterns in response to some feedback. Such integration of neurofeedback in BCI (Fig. 4) is an emerging technology for rehabilitation, but we believe is also a new paradigm in neuroscience that might reveal previously unknown brain activities associated with behavior or self-regulated mental states. The possibility of automated context-awareness as a new interface goes far beyond the standard BCI with simple feedback control. We hope to develop the next level of BCI system using neurofeedbacks for some selective cognitive phenomena. To do so, we need to rely increasingly on findings from other disciplines, especially, neuroscience, information technology, biomedical engineering, machine learning, and clinical rehabilitation.
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