cVEP

We are investigating novel methods for a visual brain-computer interface (BCI) for communication, which could potentially be used by users who cannot communicate anymore, for instance ALS patients. For this project, we are recruiting healthy participants aged 18-35 years.

Context A brain-computer interface (BCI) can use a multitude of control signals that are decodable from measured EEG. An example of such a control signal is the code-modulated visual evoked potential (c-VEP).

Context Typically, a brain-computer interface (BCI) still requires its user to move the eyes towards a target stimulus (e.g., a character) on a screen (e.g., in a standard matrix speller), specifically, they are gaze-dependent.

Context A brain-computer interface (BCI) can use a multitude of control signals that are decodable from measured EEG. One of the control signals that leads to accurate and fast BCI performance for instance for communication and control, is the code-modulated visual evoked potential (c-VEP).