The dynamics of motor learning through the formation of internal models.

ABSTRACT: A medical student learning to perform a laparoscopic procedure or a recently paralyzed user of a powered wheelchair must learn to operate machinery via interfaces that translate their actions into commands for an external device. Since the user's actions are selected from a number of alternatives that would result in the same effect in the control space of the external device, learning to use such interfaces involves dealing with redundancy. Subjects need to learn an externally chosen many-to-one map that transforms their actions into device commands. Mathematically, we describe this type of learning as a deterministic dynamical process, whose state is the evolving forward and inverse internal models of the interface. The forward model predicts the outcomes of actions, while the inverse mo

SUBMITTER: Pierella C 

PROVIDER: S-EPMC6944380 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature