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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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Interactions between motor exploration and reinforcement learning.

Shintaro Uehara1,2, Firas Mawase1, Amanda S Therrien3,4

  • 1Department of Physical Medicine and Rehabilitation, Johns Hopkins Medical Institutions, Baltimore, Maryland.

Journal of Neurophysiology
|June 27, 2019
PubMed
Summary
This summary is machine-generated.

Motor exploration, the trial-and-error search for better outcomes, increases during reinforcement learning. Sustained high exploration facilitates subsequent motor skill acquisition and relearning.

Keywords:
meta-learningmotor explorationreinforcement learningsavingstrial and error

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Area of Science:

  • Neuroscience
  • Motor Control
  • Learning Sciences

Background:

  • Motor exploration is crucial for motor learning, especially in reinforcement learning.
  • The dynamics of motor exploration during reinforcement learning are not well understood.
  • High exploration may be beneficial early but detrimental later in learning.

Purpose of the Study:

  • To investigate how motor exploration changes over time during reinforcement learning.
  • To determine if motor exploration levels impact subsequent learning.
  • To explore the relationship between motor exploration and reinforcement learning.

Main Methods:

  • Assessed temporal changes in motor exploration in healthy participants learning a reinforcement-based motor task.
  • Defined exploration as trial-to-trial movement variability based on success/failure feedback.
  • Used a finger-pointing task with binary success/failure outcomes.

Main Results:

  • Motor exploration gradually increased over time during initial task learning.
  • Exploration remained low in participants who did not learn the task effectively.
  • Elevated exploration persisted after a second training session, enhancing relearning speed.

Conclusions:

  • The motor system appears to flexibly upregulate exploration during reinforcement learning, potentially as a learned strategy.
  • Motor exploration and reinforcement learning have an interactive relationship.
  • Reinforcement tasks can prime exploratory behavior, leading to more efficient future learning.