1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
BandVQ: Band-Wise Vector-Quantized EEG Foundation Model
Jamiyan Sukhbaatar, Satoshi Imamura, Toshihisa Tanaka
A central challenge in electroencephalography (EEG) foundation modeling is learning transferable representations across recordings with diverse tasks, montages, references, and spe…
cs.LG2025★ 1 cited
SingLEM: Single-Channel Large EEG Model
Jamiyan Sukhbaatar, Satoshi Imamura, Ibuki Inoue +5
Current deep learning models for electroencephalography (EEG) are often task-specific and depend on large labeled datasets, limiting their adaptability. Although EEG foundation mod…