Motor skill learning decreases movement variability and increases planning horizon
Luke Bashford, Dmitry Kobak, Jörn Diedrichsen, Carsten Mehring
Abstract
We show that when learning a motor skill humans are using information about the environment from an increasingly longer amount of the movement path ahead to improve performance. Crucial features of the behavioral performance can be captured by modeling the behavioral data with a receding horizon optimal control model.
Topics & Concepts
Movement (music)Motor learningMotor planningHorizonMotor skillTime horizonMotor controlControl (management)Computer scienceMovement controlPsychologyCognitive psychologyArtificial intelligencePhysical medicine and rehabilitationNeuroscienceMathematicsMathematical optimizationPhysicsMedicineGeometryAcousticsMotor Control and AdaptationAction Observation and SynchronizationNeural and Behavioral Psychology Studies