| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Physionet-MI | CBraMod-MTDP | Balanced Accuracy64.57 | 27 | 1mo ago | |
| SHU-MI | CBraMod | Balanced Accuracy64.03 | 22 | 25d ago | |
| BCI Comp. 2a (4 Classes) IV | EEGNeX SuLoRA | Accuracy64.72 | 16 | 1mo ago | |
| BCI Competition IV-2b Dataset I (cross-subject) | HCFT | Average Accuracy80.83 | 15 | 1mo ago | |
| BCIC 2a IV | CBraMod-MTDP 100% | Balanced Accuracy59.81 | 13 | 1mo ago | |
| BCI Comp. IV2b (2 Classes) | EEGNeX SuLoRA | Accuracy0.7648 | 8 | 1mo ago | |
| BCIC-IV-2a (test) | CBraMod-MTDP | Balanced Accuracy59.81 | 6 | 1mo ago | |
| BCIC2020-3 (test) | CBraMod-MTDP | Balanced Accuracy62.53 | 6 | 1mo ago | |
| SHU-MI (test) | CBraMod-MTDP | Balanced Accuracy63.78 | 6 | 1mo ago | |
| Physionet-MI (test) | CBraMod-MTDP | Balanced Accuracy64.57 | 6 | 1mo ago | |
| SHU dataset averaged across all sessions and subjects | EEG-MFTNet | Accuracy58.9 | 4 | 11d ago | |
| EEG-Bench standardized (test) | LaBraM | 5-Finger MI Acc21.3 | 4 | 1mo ago | |
| PhysioNet-MI 4-class original | DIVER | Accuracy67.6 | 3 | 1mo ago | |
| Motor imagery EEG dataset | Precision89 | 2 | 5d ago |
