BCI

Context Reinforcement learning (RL) methods interact with a system in closed loop in order to learn suitable action strategies. The goal of this interaction is to control the system, e.g., to bring it into a desired state.

Chronic stroke patients with language deficits can profit from an individualized BCI-supported language training protocol.

We are investigating a novel language training method based on an auditory BCI system, which shall be applied to patients after stroke. For this project, we are recruiting healthy participants aged 45-80 years who are native speakers of Dutch.

Using physiological signals and spontaneous behavior to automatically monitor attention.

A BCI using the code-modulated visual evoked potential (c-VEP).

Dareplane investigates a platform for closed-loop adaptive deep brain stimulation.