Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...

Hearing aids are quietly undergoing a revolution, shifting from simple sound amplifiers to wearable computers that can read ...

Tracking brain waves and eye signals could cut through the noise ...

AI powered analysis of routine EEG scans is now distinguishing Alzheimer’s disease from frontotemporal dementia while also estimating disease severity, offering faster and more affordable pathways to ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...

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 ...

Abstract: Epilepsy is characterized by abnormal electrical activity in the brain that affects millions worldwide and poses significant challenges to patients and healthcare providers. Seizure ...

Deep learning has emerged as a transformative tool for the automated detection and classification of seizure events from intracranial EEG (iEEG) recordings. In this review, we synthesize recent ...

Conor Orr talks to NFL coaches about the mental warfare involved in pilfering signals and why the 49ers’ defensive coordinator may have brought it up now. On Thursday, just three days before the 49ers ...