A brain-computer interface (BCI) affords real-time communication, significantly improving the
quality of lifecycle, brain-to-internet (B2I) connectivity, and communication between the brain …

Humans are complex organisms made by millions of physiological systems. Therefore,
physiological activities can represent physical or mental states of the human body …

Recent advances in artificial intelligence demand an automated framework for the
development of versatile brain–computer interface (BCI) systems. In this article, we …

Analyzing electroencephalography (EEG) signals with machine learning approaches has
become an attractive research domain for linking the brain to the outside world to establish …

Metacognitive monitoring, defined as the self-awareness and management of cognitive
processes, influences creative design. Yet, there are few tools to enhance metacognitive …

Communication, neuro-prosthetics, and environmental control are just a few applications for
disabled persons who use robots and manipulators that use brain-computer interface (BCI) …

The use of brain–computer interfaces (BCIs) based on electroencephalography (EEG) in
video games has been widely investigated. Research in adaptive training, single-trial …

This study explores the use of attention mechanism-based deep learning models to
construct subject-independent motor-imagery based brain-computer interfaces (MI-BCIs) …

ABSTRACT BCI has been an alternative method of communication between a user and a
system, and EEG is a representative non-invasive neuroimaging technique in BCI research …

In recent years, deep learning methods have shown promising capabilities for extracting
informative and discriminative features from electroencephalography (EEG) data. However …