EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs

1 code implementation • 17 Feb 2024 • Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi

We show that our semantic subsequence preserving improves the existing masking methods in self-prediction literature and find that preserving 50\% of EEG recordings will result in the most accurate results on all 6 tasks on average.

EEG Representation Learning