Researchers investigate brain region synchronization in order to assist control of brain-machine interfaces.
A newly developed machine learning model can predict the words a person is about to speak based on their neural activity recorded by a minimally invasive neuroprosthetic device.
Study reports that implanted brain-computer interfaces are similar in safety to more conventional brain implants used to manage neurodegenerative disorders.
Brain-computer interfaces are currently being used to assist those with neuromuscular disorders in regaining everyday functions such as mobility and communication. The military is developing BCI technology to aid members in rapid response to threats. Researchers investigate the ethical questions of using neurotech such as BCI on the battle field.
New brain-machine interface technology allows those who are immobile to control their wheelchairs through mind control. The BMI allows users to traverse natural and cluttered environments after training.
A new brain-machine interface is the most accurate to date at predicting a person's internal monologue. The technology could be used to assist those with disorders affecting speech to effectively communicate.
With the help of brain-machine interface technology and robotic arms, a paralyzed man was able to feed himself for the first time in thirty years.
Researchers explore the use of myoelectric signals to detect intended hand gestures in patients with tetraplegia.
Retrofitting wireless earbuds to detect neural signals and relaying the data back to smartphones via Bluetooth, researchers say the new earEEG system could have multiple applications, including health monitoring.
"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.
