| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Physionet-MI | CBraMod-MTDP | Balanced Accuracy64.57 | 27 | 2mo ago | |
| SHU-MI | CBraMod | Balanced Accuracy64.03 | 22 | 2mo ago | |
| BCI Comp. 2a (4 Classes) IV | EEGNeX SuLoRA | Accuracy64.72 | 16 | 3mo ago | |
| BCI Competition IV-2b Dataset I (cross-subject) | HCFT | Average Accuracy80.83 | 15 | 3mo ago | |
| BCIC 2a IV | CBraMod-MTDP 100% | Balanced Accuracy59.81 | 13 | 2mo ago | |
| XW-Stroke | CFSPMNet | Accuracy68.23 | 11 | 22d ago | |
| Stroke 2019 | PA-TCNet | Accuracy72.75 | 11 | 1mo ago | |
| XW-Stroke (cross-subject) | PA-TCNet | Accuracy66.56 | 11 | 1mo ago | |
| SHU-MI 2-Class | CodeBrain | Balanced Accuracy64.31 | 10 | 21d ago | |
| PhysioNet-MI 4-Class (test) | CBraMod | Balanced Accuracy64.17 | 9 | 21d ago | |
| Motor Imagery (ECoG) | UCF (median) | Accuracy52 | 9 | 1mo ago | |
| BCI Comp. IV2b (2 Classes) | EEGNeX SuLoRA | Accuracy0.7648 | 8 | 3mo ago | |
| WBCIC-2 | SingLEM | Accuracy79.55 | 6 | 8d ago | |
| WBCIC-3 | SingLEM | Accuracy68.26 | 6 | 8d ago | |
| Dreyer | SingLEM | Accuracy75.27 | 6 | 8d ago | |
| Weibo 2014 (test) | SPDnet | F1 Score51.7 | 6 | 1mo ago | |
| BCIC-IV-2a (test) | CBraMod-MTDP | Balanced Accuracy59.81 | 6 | 2mo ago | |
| BCIC2020-3 (test) | CBraMod-MTDP | Balanced Accuracy62.53 | 6 | 2mo ago | |
| SHU-MI (test) | CBraMod-MTDP | Balanced Accuracy63.78 | 6 | 2mo ago | |
| Physionet-MI (test) | CBraMod-MTDP | Balanced Accuracy64.57 | 6 | 1mo ago | |
| OPENBMI | Accuracy (All features)62 | 4 | 5d ago | ||
| HighGamma | NSGA-II | Accuracy (All features)70 | 4 | 5d ago | |
| BCIIV-2A | MOEA/D | Accuracy (All features)54 | 4 | 5d ago | |
| Physionet | Accuracy (All features)91 | 4 | 5d ago | ||
| BNCI Cross-Session A to B 2015_001 (Holdout) | SPD-Sheaf | Accuracy82.58 | 4 | 1mo ago |
