AI RESEARCH
RPNT: Robust Pre-trained Neural Transformer -- A Pathway for Generalized Motor Decoding
arXiv CS.LG
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ArXi:2601.17641v2 Announce Type: replace Brain motor decoding aims to interpret and translate neural activity into behaviors. Decoding models should generalize across variations, such as recordings from different brain sites, experimental sessions, behavior types, and subjects, will be critical for real-world applications. Current decoding models only partially address these challenges. In this work, we develop a pretrained neural transformer model, RPNT - Robust Pretrained Neural Transformer, designed to achieve robust generalization through pre.