Delayed onset of canonical babbling and first words is often reported in infants later diagnosed with autism spectrum disorder (ASD). Identifying the neural mechanisms underlying language acquisition ...

Secretary of War Pete Hegseth "acted within his authority" by sharing sensitive details about Houthi strikes over Signal, Armed Services Chairman Roger Wicker said after viewing a report from the ...

This valuable manuscript provides solid evidence regarding the role of alpha oscillations in sensory gain control. The authors use an attention-cuing task in an initial EEG study followed by a ...

New research looks at EEG's role in real-time monitoring of workers' cognitive and emotional states and its potential in automating the detection of psychological hazards like stress and fatigue, ...

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 ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

The purpose of this study was to apply deep learning to music perception education. Music perception therapy for autistic children using gesture interactive robots based on the concept of educational ...