Designing spatial filters based on neuroscience theories to improve error-related potential classification

In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the error-related potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.