When and How to Adapt: Subject Shifts Detection and Prototype-Guided Correction for Online EEG Decoding
A novel Prototype-driven online EEG Decoding framework (PRED) that incorporates a Subject Shift Detector based on policy stability to reliably identify latent domain shifts unsupervisedly, thereby constructing adaptive soft boundaries and a Prototype-guided Shift Correction mechanism that leverages a multi-granular mem...