A new brain-computer interface could help thousands of people with neurodegenerative disorders and spinal cord injuries the ability to regain communication skills. The BCI, in combination with a machine learning algorithm, can generate words on a screen, based on a person thinking about writing the word.
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.
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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.
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.
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.
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.
An implantable, wireless brain-computer interface device can help improve the functional independence of those living with paralysis, a new study reports.
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.
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.