EEG Classification on PhysioNet-MI 4-Class 9,837 Samples
63.05Balanced AccuracyCBraMod
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod#Params=46M2025.11 | 63.05 | 0.5072 | 63.13 | |
| LaBraM#Params=5.8M2025.11 | 61.73 | 0.4912 | 61.77 | |
| STAMP#Params=0.78M2025.11 | 60.98 | 0.4797 | 61.11 | |
| EEG Conformer#Params=0.55M2025.11 | 60.49 | 0.4736 | 60.62 | |
| ST-Transformer#Params=3.5M2025.11 | 60.35 | 0.4712 | 60.53 | |
| NeuroOnline***Foundation Model=BIOT2026.07 | 49.52 | 0.3269 | 49.72 | |
| off-FT-LINFoundation Model=BIOT, Adaptation Strategy=Fine-Tuning, Classifier Head=LIN2026.07 | 45.38 | 0.2717 | 45.25 | |
| off-FT-MLPFoundation Model=BIOT, Adaptation Strategy=Fine-Tuning, Classifier Head=MLP2026.07 | 43.79 | 0.2504 | 43.6 | |
| NeuroOnline.aFoundation Model=BIOT2026.07 | 42.82 | 0.2377 | 42.61 | |
| off-LoRA-LINFoundation Model=BIOT, Adaptation Strategy=LoRA, Classifier Head=LIN2026.07 | 38.56 | 0.1807 | 37.79 | |
| off-LoRA-MLPFoundation Model=BIOT, Adaptation Strategy=LoRA, Classifier Head=MLP2026.07 | 36.88 | 0.1583 | 36.28 |