Tandem internal models execute motor learning in the cerebellum.

ABSTRACT: In performing skillful movement, humans use predictions from internal models formed by repetition learning. However, the computational organization of internal models in the brain remains unknown. Here, we demonstrate that a computational architecture employing a tandem configuration of forward and inverse internal models enables efficient motor learning in the cerebellum. The model predicted learning adaptations observed in hand-reaching experiments in humans wearing a prism lens and explained the kinetic components of these behavioral adaptations. The tandem system also predicted a form of subliminal motor learning that was experimentally validated after training intentional misses of hand targets. Patients with cerebellar degeneration disease showed behavioral impairments consistent wit

SUBMITTER: Honda T 

PROVIDER: S-EPMC6048491 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature