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Related Experiment Video

Updated: Mar 22, 2026

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Saccadic adaptation to a systematically varying disturbance.

Carlos R Cassanello1, Sven Ohl2, Martin Rolfs2

  • 1Department of Psychology and Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany carlos.cassanello@bccn-berlin.de.

Journal of Neurophysiology
|April 22, 2016
PubMed
Summary
This summary is machine-generated.

The oculomotor system adapts saccade gain to visual feedback disturbances. It shows a periodic response to varying disturbances, suggesting a fast learning process for sensorimotor adaptation.

Keywords:
delta ruleoculomotor plasticityparameter estimationresponse functionsensorimotor learningstate equationvisually guided saccades

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Area of Science:

  • Neuroscience
  • Oculomotor control
  • Sensorimotor learning

Background:

  • Saccadic adaptation is crucial for accurate eye movement-target mapping.
  • The dynamics of saccadic gain adaptation to varying disturbances are not well understood.

Purpose of the Study:

  • To investigate saccadic gain adaptation under continuous and periodic postsaccadic visual feedback.
  • To characterize the oculomotor system's response to systematically varying disturbances.

Main Methods:

  • Participants performed saccades with target steps under two adaptation conditions: Two-way and Global.
  • A sinusoidal postsaccadic target displacement was applied, varying with trial number at different frequencies.
  • Saccade amplitudes were measured to assess gain changes.

Main Results:

  • The oculomotor system exhibited a periodic adaptation of saccade amplitudes, mirroring the disturbance frequency but with a delay.
  • A consistent drift towards hypometria was observed across conditions.
  • Adaptation magnitude decreased with increasing disturbance frequency and was less pronounced in Global adaptation.

Conclusions:

  • The oculomotor system actively minimizes feedback error by integrating variations across trials, indicating a fast learning process.
  • This adaptation mechanism resembles a convolution with an internal response function.
  • The protocol is suitable for studying sensorimotor learning in clinical settings.