Since the original demonstration that electrical activity generated by ensembles of cortical
neurons can be employed directly to control a robotic manipulator, research on brain …

Neuroscientists have long recognized the importance of understanding the underlying
principles of information processing by large populations of neurons. Methods for Neural …

There has been an increase in research interest for brain–computer interface (BCI)
technology as an alternate mode of communication and environmental control for the …

Steady-state visual evoked potential (SSVEP) is one of the most commonly used control
signals in the brain–computer interface (BCI) systems. However, the conventional spatial …

The brain–computer interface (BCI) based on motor imagery electroencephalography (EEG)
is widely used because of its convenience and safety. However, due to the distributional …

The brain–computer interface (BCI), which provides a new way for humans to directly
communicate with robots without the involvement of the peripheral nervous system, has …

Decoding text stimuli from cognitive signals (eg fMRI) enhances our understanding of the
human language system, paving the way for building versatile Brain-Computer Interface …

A brain–computer interface (BCI) is an advanced human–machine interaction technology.
The BCI speller is a typical application that detects the stimulated source-induced EEG …

A brain–computer interface (BCI) is a computer-based system that allows for communication
between the brain and the outer world, enabling users to interact with computers using …

Many people with severe motor disabilities require alternative methods of communication
and control because they are unable to use conventional means that require voluntary …