Brain-to-text system could help people with speech difficulties to communicate, researchers report.
Using ECoG and machine learning, researchers decoded spoken words and phrases in real-time from brain signals that control speech. The technology could eventually be used to help those who have lost vocal control to regain their voice.
Findings about how the speech center is organized and how fluid speech occurs could lead to the development of neuroprosthetics capable of translating thoughts into speech, researchers report.
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.
Technological advances allow researchers to observe how the brain processes semantic information.
A new study explores which of the two main patterns of brain activity may be seen during the onset of an epileptic seizure.
Researchers have long been interested in discovering the ways that human brains represent thoughts through a complex interplay of electrical...
When people listen to music, the neural tracking of the frontal lobe lags behind the temporal lobe, but during music recall, the frontal lobe precedes that of the temporal lobe. The findings demonstrate bottom-up and top-down processes in the cerebral cortex during music listening and recall. The study provides important insights into how the human brain processes music.
A new study reports researchers have successfully used brain stimulation to provide touch feedback and direct movement. The findings could benefit those with spinal cord injury to regain movement.