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SPERA: Spherical Prior EEG Foundation Model with Geometry- and Frequency-Aware Latent Prediction
Author1, Author2, Author3, Author4, Author5
EEGfoundation modelpredictive architectureneural activity
2610.10571
Builder Relevance
2h ago80%
Abstract
SPERA is a novel EEG foundation model that effectively predicts in latent space while accommodating diverse electrode geometries and achieving high accuracy across various EEG applications.
Reality Card
Core Claim
SPERA achieves the highest average balanced accuracy across nine downstream tasks in clinical, cognitive, and BCI applications, demonstrating its effectiveness as a general-purpose EEG model.
Method / Result
Pretrained on approximately 80,000 hours of EEG data from 29,048 subjects across 106 datasets.
Limitations
The model's performance may vary across different recording conditions, which could affect reproducibility.
Paper to code
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