EMAG is a differentiable framework representing brain sources as 4D anisotropic Gaussian mixtures to achieve spatial super-resolution of EEG signals from sparse electrodes.
Step-aware residual-guided diffusion for eeg spatial super-resolution.arXiv preprint arXiv:2510.19166, 2025
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TGSD combines a Hierarchical Spatial Prior Encoder with conditional state-space diffusion to achieve EEG spatial super-resolution, outperforming baselines on reconstruction fidelity and classification on SEED and PhysioNet datasets.
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TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution
TGSD combines a Hierarchical Spatial Prior Encoder with conditional state-space diffusion to achieve EEG spatial super-resolution, outperforming baselines on reconstruction fidelity and classification on SEED and PhysioNet datasets.