Learning to control brain rhythms: making a brain-computer interface possible

@article{Pineda2003LearningTC,
  title={Learning to control brain rhythms: making a brain-computer interface possible},
  author={J. A. Pineda and D. S. Silverman and Andrey Vankov and John Hestenes},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2003},
  volume={11},
  pages={181-184}
}
The ability to control electroencephalographic rhythms and to map those changes to the actuation of mechanical devices provides the basis for an assistive brain-computer interface (BCI). In this study, we investigate the ability of subjects to manipulate the sensorimotor mu rhythm (8-12-Hz oscillations recorded over the motor cortex) in the context of a rich visual representation of the feedback signal. Four subjects were trained for approximately 10 h over the course of five weeks to produce… CONTINUE READING