Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.
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 ...
Electroencephalography (EEG) has emerged as a valuable non‐invasive tool for examining neural dynamics and recognising patterns associated with depressive disorders. Recent advances in deep learning ...
Recent advances in the integration of electroencephalography (EEG) with machine learning techniques have provided promising avenues for the early detection and monitoring of Alcohol Use Disorder (AUD) ...
The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.