The University of Texas at Austin

Spotting a deviation of a few degrees can matter in precision tasks, yet conventional training that only reports whether an answer was right does little to sharpen sensitivity to small errors. Researchers at The University of Texas at Austin and the National Institute of Neurological Disorders and Stroke instead read the brain's own error signal, the error-related potential, from EEG and fed its presence or absence back to participants in real time. Over a five-day longitudinal study, this BCI training accelerated perceptual learning for 3° errors and improved performance for 6° errors compared with behavioral training alone, alongside a larger error positivity (Pe) amplitude.