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Related Experiment Video

Updated: Jul 20, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
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Saccadic trajectories deviate toward or away from optimally informative visual features.

Serena Castellotti1, Martin Szinte2, Maria Michela Del Viva1

  • 1University of Florence, Department of Neurofarba, Florence, Italy.

Iscience
|July 31, 2023
PubMed
Summary
This summary is machine-generated.

Visually guided eye movements, or saccades, are curved by distractors. Optimal visual features, identified by a predictive model, cause greater saccade curvature than non-optimal ones, similar to high-luminance distractors.

Keywords:
Cognitive neuroscienceSensory neuroscience

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Area of Science:

  • Neuroscience
  • Computational Vision
  • Oculomotor Research

Background:

  • Saccade trajectories are influenced by visual distractors, with higher distractor saliency correlating with more pronounced trajectory curvature.
  • Previous studies focused on general saliency, lacking investigation into the specific role of information-optimal features in visual processing during eye movements.

Purpose of the Study:

  • To investigate how the saliency of spatial visual features, predicted as optimal or non-optimal information carriers in fast vision by a constrained maximum entropy model, affects saccade curvature.
  • To compare the impact of these optimal and non-optimal features against luminance-based distractors.
  • To analyze the dynamic changes in saccade deviation based on the delay between distractor and saccade onset.

Main Methods:

  • Utilizing a saccadic task where model-predicted optimal and non-optimal spatial visual features served as distractors.
  • Comparing the saccadic curvature evoked by these features against control distractors based on luminance.
  • Analyzing the magnitude and direction of saccade deviation in relation to the temporal delay between distractor presentation and saccade initiation.

Main Results:

  • Optimal visual features elicited significantly larger saccadic curvature compared to non-optimal features.
  • The magnitude and direction of saccade deviation varied dynamically with the delay between distractor onset and saccade onset.
  • The observed effects of optimal features were comparable to those induced by high-luminance distractors versus low-luminance distractors.

Conclusions:

  • Model-predicted information-optimal features demonstrably interfere with target-oriented saccades, exhibiting a dynamic attraction-repulsion pattern.
  • The visuo-oculomotor system appears to rapidly and automatically process optimally informative features during the programming of visually guided eye movements.
  • This processing occurs irrespective of the explicit task, suggesting a fundamental mechanism in visual-motor integration.