Brain-computer interfaces have long relied on reactive detection, responding after a stimulus, state change, or symptom emerges. This talk proposes shifting toward proactive prevention: predictive BCIs using continuous EEG to anticipate decline, and forecasting BCIs using resting-state snapshots to flag risk. Studies in sleep, migraine, and cognitive-state monitoring show the brain encodes its future state in the present. Yet only 5.1% of forecasting studies (16/315) deploy closed-loop actuation—closing this "Preventive Gap" is the next frontier.

Tzyy-Ping Jung received the B.S. degree in electronics engineering from National Chiao Tung University, Taiwan, in 1984, and the M.S. and Ph.D. degrees in electrical engineering from The Ohio State University in 1989 and 1993, respectively. During 1993-1996, he was a Research Associate of the National Research Council of the National Academy of Sciences working at the Computational Neurobiology Laboratory, The Salk Institute, San Diego, CA. He is currently a Research Professor at the Institute for Neural Computation of the University of California, San Diego. He is also the Co-Director of Center for Advanced Neurological Engineering and Associate Director of the Swartz Center for Computational Neuroscience and at UCSD. Dr. Jung is a recipient of the SPIE Unsupervised ICA Learning Pioneer Award in 2008 and a recipient of the Distinguished Alumni Award of National Chiao-Tung University in 2012. He was elevated to IEEE Fellow status in 2015 for his contributions to blind source separation in biomedical applications.