ProtoGIB-Workload: Learning Workload-Specific Neural Topology Prototypes across Subjects

Reliable electroencephalography (EEG)-based mental workload recognition is crucial for adaptive human-centered systems, yet practical deployment requires models to generalize to users unseen during training. Although functional connectivity graphs are widely adopted to capture workload-related neura...