Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …

Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …

Deep learning analyses have offered sensitivity leaps in detection of cognition-related
variables from functional MRI (fMRI) measurements of brain responses. Yet, as deep models …

Brain signal patterns generated in the central nervous system of brain-computer interface
(BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI …

Background Major depressive disorder (MDD) affects a substantial number of individuals
worldwide. New approaches are required to improve the diagnosis of MDD, which relies …

Analysis of brain signals is essential to the study of mental states and various neurological
conditions. The two most prevalent noninvasive signals for measuring brain activities are …

Emotion recognition remains an intricate task at the crossroads of psychology and artificial
intelligence, necessitating real-time, accurate discernment of implicit emotional states. Here …

Functional near-infrared spectroscopy (fNIRS) is a noninvasive brain imaging technique that
has gradually been applied in emotion recognition research due to its advantages of high …

The diagnosis of mild cognitive impairment (MCI), a prodromal stage of Alzheimer's disease
(AD), is essential for initiating timely treatment to delay the onset of AD. Previous studies …

Deciphering coordinated movements is integral to understanding the daily activities and
interactions between the nervous system and muscles, especially in robot-assisted …