Investigating Foundation Models, Disentanglement and Latent Alignment for Subject-Independent EEG Learning
Brain–Computer Interfaces (BCIs) require models that generalize across subjects, yet EEG signals exhibit strong inter-subject variability and non-stationarity, leading to performance degradation on unseen users. This limitation is particularly critical in interactive and multimodal systems, where reliable, calibration-...