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Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
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Optimal sensorimotor control in eye movement sequences.

Jérôme Munuera1, Pierre Morel, Jean-René Duhamel

  • 1Centre de Neuroscience Cognitive, CNRS-Université de Lyon (UMR5229), 69675 Bron, France.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|March 13, 2009
PubMed
Summary

Humans optimally combine efference copy and visual feedback for eye movements, adjusting feedback gain based on reliability. This near-optimal control principle extends to saccades, even with unexpected target jumps.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Ophthalmology

Background:

  • Accurate motor behavior integrates sensory information and self-motion knowledge.
  • Optimal control principles are well-established for arm movements but less understood for eye movements.

Purpose of the Study:

  • To investigate how humans combine visual feedback and efference copy for saccadic eye movements.
  • To determine if eye movements follow near-optimal control principles.

Main Methods:

  • Measured relative contributions of visual feedback and efference copy during successive saccades.
  • Introduced artificial motor error by randomly shifting visual targets during the first saccade.
  • Conducted a control experiment with target extinction to isolate motor noise and localization error.

Main Results:

  • Motor noise contribution to saccade variability increased with amplitude but remained below 30%.
  • Subjects adjusted visual feedback gain based on saccade amplitude and reliability.
  • Visual feedback correction for target jumps was significant but consistently below 100%.

Conclusions:

  • Humans combine efference copy and sensory feedback near-optimally for eye movements.
  • An optimal controller model accurately predicted visual feedback gain across conditions.
  • The findings suggest a unified optimal control strategy for both arm and eye movements.