"Neurograins" brain-computer interfaces independently record electrical impulses and send signals wirelessly to a central hub that coordinates and processes the signals.
A new brain-machine interface allows wearers to wirelessly control a wheelchair or robotic arm by simply imagining an action. The neuroprosthesis could help improve the quality of life for those with disabilities.
A new study warns of potential social, ethical, and legal consequences of brain-machine interfaces and other technologies that interact with the human brain.
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.