Abstract Brain-Computer Interfaces (BCIs), a remarkable technological advancement in
neurology and neurosurgery, mark a significant leap since the inception of …

The demand for public datasets has increased as data-driven methodologies have been
introduced in the field of brain-computer interfaces (BCIs). Indeed, many BCI datasets are …

The motor imagery (MI)-based brain-computer interface (BCI) is an intuitive interface that
provides control over computer applications directly from brain activity. However, it has …

Regaining the lost functionality of limbs is the top priority for people with motor skills
impairment as it directly affects their ability to execute activities of daily living and hence …

Objective. Motor imagery (MI) is a process of autonomously modulating the motor area to
rehearse action mentally without actual execution. Based on the neuroplasticity of the …

Objective. The interpretation of neurophysiological measurements has a decades-long
history, culminating in current real-time brain-computer interfacing (BCI) applications for both …

Electroencephalography based brain-computer interfaces (BCIs) show promise of providing
an alternative communication channel between the brain and an external device. It is well …

Abstract Research conducted on Brain-Computer Interfaces (BCIs) has grown considerably
during the last decades. With the help of BCIs, users can (re) gain a wide range of functions …

The detection of error-related potentials (ErrPs) in tasks with discrete feedback is well
established in the brain–computer interface (BCI) field. However, the decoding of ErrPs in …

For brain–computer interface (BCI) users, the awareness of an error is associated with a
cortical signature known as an error-related potential (ErrP). The incorporation of ErrP …