Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance.

ABSTRACT: Humans and animals develop learning-to-learn strategies throughout their lives to accelerate learning. One theory suggests that this is achieved by a metacognitive process of controlling and monitoring learning. Although such learning-to-learn is also observed in motor learning, the metacognitive aspect of learning regulation has not been considered in classical theories of motor learning. Here, we formulated a minimal mechanism of this process as reinforcement learning of motor learning properties, which regulates a policy for memory update in response to sensory prediction error while monitoring its performance. This theory was confirmed in human motor learning experiments, in which the subjective sense of learning-outcome association determined the direction of up- and down-regulation o

SUBMITTER: Sugiyama T 

PROVIDER: S-EPMC10329706 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature