A deep learning model can identify sleep stages as accurately as an experienced physician.
Search for: electroencephalography
A wearable brain-machine interface system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome.
Researchers warn of the potential social, ethical, and legal consequences of technologies interacting heavily with human brains.
Researchers recorded VR users' brain activity using electroencephalography (EEG) to better understand and work toward solutions to prevent cybersickness.
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
Researchers have shown that they can use online neurofeedback to modify an individual's arousal state to improve performance in a demanding sensory motor task.
Electronic ‘skin’ will enable amputees to perceive through prosthetic fingertips.