LENS, short for the Low Energy Neurofeedback System, is a neurofeedback approach that uses EEG sensors and very low-energy ...

Artificial intelligence-enabled point-of-care EEG allows rapid bedside seizure detection, accelerating treatment and preventing unnecessary care escalation.

Abstract: Decoding auditory attention from brain activities, such as electroencephalography (EEG), sheds light on solving the machine cocktail party problem. However, effective representation of EEG ...

A new study suggests that children with ADHD may exhibit a distinctive, measurable pattern of brain activity that could ...

Researchers found that ADHD brain activity is not static. In a trial, a subgroup of children with ADHD showed a shift toward a more typical neural profile following intervention.

A new study suggests that children with ADHD may exhibit a distinctive, measurable pattern of brain activity that could reflect differences in neural efficiency. The researchers focus on aperiodic EEG ...

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for ...

Despite countless programmes and initiatives, rates of entrepreneurial intention – a marker of how willing people are to ...

Participants talked or typed freely while wearing headsets designed to capture neural signals moments before the words were ...

Abstract: In this paper, a novel spatio-temporal self-constructing graph neural network (ST-SCGNN) is proposed for cross-subject emotion recognition and consciousness detection. For spatio-temporal ...

Despite countless programs and initiatives, rates of entrepreneurial intention—a marker of how willing people are to start ...

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked ...