2 papers
cs.LG2026
EEG-PRISM: Physiologically-Grounded Interpretability of Predictions by EEG Foundation Models
Deeksha M Shama, Punnisa Amornsirikul, Archana Venkataraman
Objective: Foundation models represent the next advancement in AI for EEG analysis; however current explainable AI techniques provide attribution scores in the time-channel input s…
cs.HC2026
Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs
Deeksha M. Shama, Dimitra Emmanouilidou, Ivan J. Tashev
Accurately monitoring cognitive load in real time is critical for Brain-Computer Interfaces (BCIs) that adapt to user engagement and support personalized learning. Electroencephalo…