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.
arXiv:2306.05880 (2023)
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A survey that proposes a taxonomy for universal time-series representation learning and reviews existing deep learning studies along with experimental setups.
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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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Universal Time-Series Representation Learning: A Survey
A survey that proposes a taxonomy for universal time-series representation learning and reviews existing deep learning studies along with experimental setups.