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Velocity decoding on Public microelectrode benchmark Cross-Task (T-RT)

0.8778R^2RPNT (Full-SFT)
0.57880.6564250.734050.811675Jan 25, 2026

Evaluation results

MethodLinks
RPNT (Full-SFT)Training regime=Pretrained, Fine-tuning strategy=Full dataset finetuning2026.010.8778
RPNT (FS-SFT)Training regime=Pretrained, Fine-tuning strategy=Few-shot finetuning2026.010.8515
RPNTTraining regime=From scratch2026.010.8356
o-POSSM-GRU (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.7717
POSSM-GRU-SSTraining regime=From scratch2026.010.7687
o-POSSM-Mamba (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.7621
POYO-1 (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.7591
o-POSSM-S4D (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.7584
POSSM-S4D-SSTraining regime=From scratch2026.010.7505
POSSM-Mamba-SSTraining regime=From scratch2026.010.7418
GRUTraining regime=From scratch2026.010.7279
POYO-SSTraining regime=From scratch2026.010.7156
S4DTraining regime=From scratch2026.010.7145
MLPTraining regime=From scratch2026.010.7007
MambaTraining regime=From scratch2026.010.6694
Wiener filterTraining regime=From scratch2026.010.5942
NDT-2 (FT)Training regime=Pretrained, Fine-tuning strategy=Full model finetuning2026.010.5903