Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

The attention mechanism of the Transformer has the advantage of extracting feature
correlation in the long-sequence data and visualizing the model. As time-series data, the …

Identification of brain activity associated with motor execution and, more importantly, with
motor imagery is necessary for the development of brain–computer interfaces. Most of recent …

Motor execution, observation, and imagery are important skills used in motor learning and
rehabilitation. The neural mechanisms underlying these cognitive-motor processes are still …

Brain–computer interfaces (BCIs) allow control of various applications or external devices
solely by brain activity, eg, measured by electroencephalography during motor imagery …

Egocentric distance perception has been widely concerned by researchers in the field of
spatial perception due to its significance in daily life. The frame of perception involves the …

Motor Imagery BCI systems have a high rate of users that are not capable of modulating their
brain activity accurately enough to communicate with the system. Several studies have …

This study aimed to investigate clinical and physiological predictors of brain oscillatory
activity in patients with fibromyalgia (FM), assessing resting-state power, event-related …

A stroke occurs when blood flow to the brain is critically reduced or blocked, potentially
resulting in motor paralysis. One of the most promising and effective neurorehabilitation …

In the field of psychology, it has been well established that there are two types of motor
imagery such as kinesthetic motor imagery (KMI) and visual motor imagery (VMI), and the …