Eight sessions of mindfulness-based awareness training give participants a significant edge in their ability to control brain-computer interfaces and the time it took to achieve proficiency over those who did not experience meditation training. Read More
Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking. Read More
Combining machine learning with neuroprosthetic technology allowed a patient with paralysis to learn to control a computer cursor by utilizing brain activity without extensive daily retraining. Read More
An implantable, wireless brain-computer interface device can help improve the functional independence of those living with paralysis, a new study reports. Read More
Three days of training with brain-computer interface technology reduced phantom limb pain. Patients reported a 30% reduction in pain after one session, and the effect lasted up to five days after training was complete. Read More
Researchers were able to restore the sense of touch to a 28-year-old who suffered a spinal cord injury with the help of new brain-computer interface technology. Read More
Machine learning algorithm allows a brain-computer interface to readjust itself continually in the background to ensure the system is always calibrated and ready to use. Read More