Stabilizing brain-computer interfaces through alignment of latent dynamics.

ABSTRACT: Intracortical brain-computer interfaces (iBCIs) restore motor function to people with paralysis by translating brain activity into control signals for external devices. In current iBCIs, instabilities at the neural interface result in a degradation of decoding performance, which necessitates frequent supervised recalibration using new labeled data. One potential solution is to use the latent manifold structure that underlies neural population activity to facilitate a stable mapping between brain activity and behavior. Recent efforts using unsupervised approaches have improved iBCI stability using this principle; however, existing methods treat each time step as an independent sample and do not account for latent dynamics. Dynamics have been used to enable high-performance prediction of mov

SUBMITTER: Karpowicz BM 

PROVIDER: S-EPMC12089531 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature