The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI)
research, as well as on intervention best practices for training and rehabilitation of students …

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

The growing interest in the Metaverse has generated momentum for members of academia
and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique …

Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded
from the human brain as well as in the computational tools available to analyze this data …

A brain–computer interface (BCI) is a technology that uses neural features to restore or
augment the capabilities of its user. A BCI for speech would enable communication in real …

Bayesian networks are a type of probabilistic graphical models lie at the intersection
between statistics and machine learning. They have been shown to be powerful tools to …

A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to
imagined speech, then processes and decodes these signals to produce a linguistic output …

Objective. Electrocorticography (ECoG), used as a neural recording modality for brain-
machine interfaces (BMIs), potentially allows for field potentials to be recorded from the …