TUEV
PulseAugur coverage of TUEV — every cluster mentioning TUEV across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Parameter-efficient adaptation boosts EEG foundation models for clinical use
Researchers have developed a parameter-efficient self-supervised adaptation method for EEG foundation models (EEG-FM) to improve generalization across diverse clinical datasets. This approach, which updates only 9% of m…
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Parameter-efficient adaptation boosts EEG foundation models for clinical use
Researchers have developed a parameter-efficient self-supervised adaptation method for EEG foundation models (EEG-FM) that requires updating only 9% of parameters. This approach aims to make these models more practical …
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Bag-of-waves framework offers interpretable EEG analysis for low-data regimes
Researchers have developed a new interpretable framework called bag-of-waves for analyzing electroencephalography (EEG) data, particularly in low-data scenarios. This method learns a dictionary of recurring EEG waveform…