New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

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 ...