Researchers Use Novel Machine Learning Strategy to Accelerate Brain-Computer Interface Training

Brain-computer interfaces are typically systems which measure neural activity and convert it into artificial output. These systems have shown great potential for assisted movement in patients with motor impairments. The interfaces typically work by directing the patient to think about making a movement and allowing the system to repeatedly record (Read more...)

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