To figure out if there’s a grain of truth to all these anecdotes, a team of German scientists at the Hamburg University, led ...

Electroencephalography (EEG) signal compression techniques have evolved considerably over recent years, addressing the critical challenge of managing the voluminous datasets generated by high ...

Participants exposed to images that generated positive emotions show enhanced memory of meaningless symbols the following day ...

EEG biosensors are non-invasive devices that detect and record ... Their growing application scope, coupled with advancements in wireless technology and signal processing algorithms, is reshaping how ...

People have long suspected that rest can bring answers to tough questions. Paul McCartney said the melody of “Yesterday” came ...

Emerging brain-computer interface technology introduces vulnerabilities, including neural data interception, signal ...

A theater-based immersive neuroaesthetics research program led by Tsinghua University that synchronously captures the neural ...

The UTS team is using it to read his thoughts. A pioneering AI model, developed by Dr Leong, PhD student Charles (Jinzhao) Zhou and his supervisor Chin-Teng Lin, uses deep learning to translate the ...

Alto Neuroscience’s phase 2 depression trial has missed its primary efficacy endpoint, as patients on the drug candidate fared no better on a measure of alertness and mood than their peers on placebo.

A report by the University of Maryland Global Campus explains how BCIs function by converting brain activity into digital information. However, a study from Cornell University highlights several secur ...

This letter investigates ensemble median empirical mode decomposition (MEEMD), an extension model of ensemble empirical mode decomposition, and its improved characteristics for emotion recognition. It ...