AI RESEARCH
TGSD: Topology-Guided State-Space Diffusion for EEG Spatial Super-Resolution
arXiv CS.CV
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ArXi:2606.03998v1 Announce Type: cross Low-density EEG is suitable for wearable and IoT-based brain sensing, but sparse electrode sampling often lacks sufficient spatial information to characterize cross-regional neural activity. EEG spatial super-resolution aims to recover dense-channel EEG from sparse recordings, yet remains challenging because channel missingness typically occurs at the whole-channel level, spatiotemporal dependencies over the full electrode layout are often underexplored, and the mapping from sparse to dense signals is inherently ambiguous.