A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

A deep-learning model achieved significantly higher accuracy and F1-scores for both Cognitive Abilities Screening Instrument and Digit Symbol Coding Test. A deep-learning model vs a comparison model ...

People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers tested whether EEG brain scans could capture those signals and reroute them to ...

In 2012 I began work as Associate Chief of Staff for Education at the Veterans Affairs Boston Healthcare System. In this job, I am responsible for the education of the more than 3,000 trainees who ...

Using portable EEGs, researchers found that when groups of people watch the same health promotion videos, their brain activity syncs up, indicating that the message has gone beyond being seen and ...