Autonomous control through measurement of the neural correlate of perturbation

Passive brain-computer interfaces (pBCIs) can be used to inform humans about their current mental state or in human-machine interaction (HMI) scenario. We in-troduced the perturbation-evoked potential (PEP) in the context of pBCI and are further investigating how neural correlates in a HMI could interact.

Currently, we are investigating the PEP in a cockpit and flying scenario. We simulate a moving glider plane which receives perturbations at random time points.