A new Apple study presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data.

Datasea (Nasdaq:DTSS) announced progress on R&D efforts related to its brain-computer interface (BCI) technologies.

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Industry Leader Highlights Latest EEG Technology Built for Mobility, Connectivity and Improved Neurological Care ...

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

A ROUTINE EEG could soon change dementia diagnosis, as researchers show that artificial intelligence applied to EEG scans can ...

Traditional BCIs rely on static algorithms that struggle to adapt to rapid fluctuations in EEG signals. Datasea's real-time closed-loop vibration enhancement approach is designed to support dynamic ...

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

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible ...

Marking a major milestone on the path to meeting the objectives of the NIH BRAIN initiative, researchers advance high-density electroencephalography (EEG) as the future paradigm for dynamic functional ...