3 papers
cs.LG2025
SAMBA: Toward a Long-Context EEG Foundation Model via Spatial Embedding and Differential Mamba
Jiazhen Hong, Geoffrey Mackellar, Soheila Ghane
Long-sequence electroencephalogram (EEG) modeling is essential for developing generalizable EEG representation models. This need arises from the high sampling rate of EEG data and…
eess.SP2025
SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
Jiazhen Hong, Geoff Mackellar, Soheila Ghane
Electroencephalogram (EEG)-based P300 speller brain-computer interfaces (BCIs) face three main challenges: low signal-to-noise ratio (SNR), poor generalization, and time-consuming…
cs.LG2025
An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling
Jiazhen Hong, Geoffrey Mackellar, Soheila Ghane
Electroencephalogram (EEG) signals generally exhibit low signal-to-noise ratio (SNR) and high inter-subject variability, making generalization across subjects and domains challengi…