A Novel Brain-Computer Interface based on Event-Related Error Potentials

Brain-Computer Interfaces (BCIs), are a nascent technology that allow a human to control a system directly through brain signals. BCI research is a highly interdisciplinary endeavor that synthesizes ideas from neuroscience, biophysics, materials science, control theory, information theory, and signal processing. We will survey the current state of BCI research, and describe current efforts to use error signals generated by humans engaged in a reinforcement learning task to control an autonomous agent.