In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

While EEG research might help you figure out extrasensory perception, we won’t be betting on it. However, if you want to read ...

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

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...

AI powered analysis of routine EEG scans is now distinguishing Alzheimer’s disease from frontotemporal dementia while also ...

A cute video of Prince William rubbing Kate Middleton's back was potentially a secret signal for her to hurry up. The royals have been known to use secret signals in public. Prince William was ...

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 ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Abstract: Alzheimer's disease (AD), is a prevalent neurodegenerative disorder, characterized by cognitive decline. Alongside AD, and Frontotemporal dementia (FTD) poses significant challenges in ...