A coordinate-queryable implicit neural representation learns a conditional scalp field from partial EEG support channels to reconstruct signals at arbitrary and unseen electrode positions.
Neural brain fields: A nerf-inspired approach for generating nonexistent eeg electrodes.arXiv preprint arXiv:2601.00012, 2025
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EMAG is a differentiable framework representing brain sources as 4D anisotropic Gaussian mixtures to achieve spatial super-resolution of EEG signals from sparse electrodes.
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Coordinate-Queryable Neural Field Reconstruction for EEG Spatial Super-Resolution with Unseen-Electrode Generation
A coordinate-queryable implicit neural representation learns a conditional scalp field from partial EEG support channels to reconstruct signals at arbitrary and unseen electrode positions.
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EMAG: Differentiable 4D Gaussian Mixture Splatting for EEG Spatial Super-Resolution
EMAG is a differentiable framework representing brain sources as 4D anisotropic Gaussian mixtures to achieve spatial super-resolution of EEG signals from sparse electrodes.