A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

Objective. Most current electroencephalography (EEG)-based brain–computer interfaces
(BCIs) are based on machine learning algorithms. There is a large diversity of classifier …

Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …

Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

Brain–computer interfaces (BCIs) have emerged as a novel technology that bridges the
brain with external devices. BCIs have been developed to decode human's intention …

Brain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population,
estimated around 25%. To understand this phenomenon in Sensorimotor Rhythm (SMR) …

Brain-machine interface (BMI) technology has rapidly matured over the last two decades,
mainly thanks to the introduction of artificial intelligence (AI) methods, in particular, machine …

Key points Two groups of inexperienced brain‐computer interface users underwent a purely
mental EEG‐BCI session that rapidly impacted on their brain. Modulations in structural and …

State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …

User-machine interfaces map biological signals measured from the user to control
commands for external devices. The mapping from biosignals to device inputs is performed …