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Target Uncertainty Mediates Sensorimotor Error Correction.

Luigi Acerbi1,2, Sethu Vijayakumar1, Daniel M Wolpert3

  • 1Institute of Perception, Action and Behaviour, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.

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Summary
This summary is machine-generated.

Human movement error correction depends on uncertainty. When estimates are uncertain, people partially correct errors, demonstrating integrated decision-making and control.

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Area of Science:

  • Neuroscience
  • Human Motor Control
  • Cognitive Science

Background:

  • Human movements often contain errors due to perceptual and motor inaccuracies.
  • Bayesian estimation and stochastic optimal feedback control are key frameworks for understanding error reduction in human actions.

Purpose of the Study:

  • To investigate how uncertainty in estimations influences online error correction during human movement.
  • To explore the interplay between estimation processes and motor control strategies.

Main Methods:

  • Participants reached to indicate the center of mass of an object while visual feedback of their finger position was randomly shifted.
  • The study manipulated uncertainty regarding the object's center of mass across trials.
  • Behavioral data on error correction and performance scores were analyzed.

Main Results:

  • Participants exhibited partial error correction when faced with high uncertainty about the center of mass.
  • Full error correction was observed only in trials with low estimation uncertainty.
  • Correction strategies aligned with the minimal intervention principle, minimizing effort while avoiding significant score degradation.

Conclusions:

  • Decision uncertainty significantly impacts the sensorimotor system's response to errors.
  • Findings support integrated models of decision-making and control, where uncertainty influences corrective actions.
  • The effort cost of adjusting responses plays a role in modulating error correction behavior.