Fine-tuning brain foundation models on EEG data yields improved accuracy for real-time cognitive load estimation in BCIs while using SHAP to show consistent focus on prefrontal regions linked to cognitive control.
Combining spatio- temporal networks and graph attention architectures for EEG- based workload classification
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Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs
Fine-tuning brain foundation models on EEG data yields improved accuracy for real-time cognitive load estimation in BCIs while using SHAP to show consistent focus on prefrontal regions linked to cognitive control.