AI RESEARCH
EMAG: Differentiable 4D Gaussian Mixture Splatting for EEG Spatial Super-Resolution
arXiv CS.LG
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ArXi:2605.29731v1 Announce Type: new High-density electroencephalography (HD-EEG) enables fine-grained measurement of cortical activity but requires expensive hardware and lengthy setup times, limiting its clinical and research accessibility. We propose EMAG (EEG Mixture of Anisotropic Gaussians), a differentiable framework that reconstructs HD-EEG signals from a sparse subset of low-density (LD) electrodes by representing brain electrical sources as a mixture of anisotropic 4D space-time Gaussians.