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Velocity decoding on Public microelectrode benchmark Cross-Subject (T-CO)

0.9626R^2RPNT (Full-SFT)
0.6425920.7256710.808750.891829Jan 25, 2026

Evaluation results

MethodLinks
RPNT (Full-SFT)Training regime=Pretrained, Fine-tuning strategy=Full dataset finetuning2026.010.9626
RPNT (FS-SFT)Training regime=Pretrained, Fine-tuning strategy=Few-shot finetuning2026.010.9431
RPNTTraining regime=From scratch2026.010.9103
o-POSSM-S4D (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.9069
o-POSSM-GRU (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.9021
o-POSSM-Mamba (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.9011
POSSM-GRU-SSTraining regime=From scratch2026.010.8863
POYO-1 (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.8859
POSSM-S4D-SSTraining regime=From scratch2026.010.8838
POSSM-Mamba-SSTraining regime=From scratch2026.010.8747
POYO-SSTraining regime=From scratch2026.010.8705
S4DTraining regime=From scratch2026.010.8526
GRUTraining regime=From scratch2026.010.8453
MLPTraining regime=From scratch2026.010.7976
MambaTraining regime=From scratch2026.010.7692
Wiener filterTraining regime=From scratch2026.010.6597
NDT-2 (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.6549