The BrainGate brain-machine interface is able to transmit signals from a single neuron resolution with full broadband fidelity without physically tethering the user to a decoding system. Read More
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A closed-loop system combining AI, robotics, and BCI technology allows a quadriplegic man to control movements to cut food and feed himself. Read More
A newly developed simultaneous brain-machine interface allowed a quadriplegic man to control two prosthetic arms with the power of his mind. Read More
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
Researchers test machine learning algorithms to determine the metal workload and affective states of the human brain. 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
A new wireless intracortical brain-computer interface neuroprosthesis is capable of gathering and transmitting accurate neural signals, using a tenth of the power required by current wire-enabled systems. 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 provide the first evidence that the human brain replays waking experiences while we sleep. 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
