3 papers
eess.SP2026
EEG-JEPA: Structured Latent Prediction for EEG Foundation Models
Jinhao Li, Zhiyuan Ma, Xueqiao Han +8
Electroencephalography (EEG) foundation models aim to learn reusable representations from large-scale unlabeled recordings. A common pretraining strategy is masked waveform reconst…
cs.AI2026
DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding
Zhiyuan Ma, Zeyuan Li, Zihao Qiu +6
In real-world applications of noninvasive electroencephalography (EEG), specialized decoders often show limited generalizability across diverse tasks under subject-independent sett…
q-bio.NC2025
Capturing Aperiodic Temporal Dynamics of EEG Signals through Stochastic Fluctuation Modeling
Yuhao Sun, Zhiyuan Ma, Xinke Shen +3
Electrophysiological brain signals, such as electroencephalography (EEG), exhibit both periodic and aperiodic components, with the latter often modeled as 1/f noise and considered…