LAND: Latent Aligned Neural-Behavioral Dynamics via Flow Matching forGeneralizable Movement Decoding
Ruwei Yao, Junze Zheng, Yanlu Wang, Wenzheng Li, Xiaolong Zou, Bo Hong
The paper introduces LAND, a framework for improving movement decoding in BCIs by aligning neural and behavioral dynamics using unpaired data, achieving better generalization across movement speeds and subjects.
bioRxiv · Aug 24, 2026 · PreprintNeuroscience