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Updated: Jul 15, 2026
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Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019
Behavioral analysis of predictive saccade tracking as studied by countermanding
Wilsaan M Joiner1, Jung-Eun Lee, Mark Shelhamer
1Department of Biomedical Engineering, The Johns Hopkins University, School of Medicine, 720 Rutland Avenue/606 Traylor Bldg., Baltimore, MD 21205, USA. wjoiner@bme.jhu.edu
Experimental Brain Research
|May 4, 2007
Summary
Predictive saccadic eye movements rely on anticipating visual targets. This study reveals that stopping these movements is harder with faster pacing, suggesting a quicker neural process for predictive timing.
Area of Science:
- Neuroscience
- Ophthalmology
- Cognitive Science
Background:
- Predictive saccadic eye movements are crucial for anticipating visual stimuli.
- Understanding the neural mechanisms of predictive timing is essential for various applications.
Purpose of the Study:
- To investigate saccade pacing and predictive timing mechanisms using a saccade-countermanding task.
- To examine how stop signal delay (SSD) affects the ability to inhibit periodic eye movements.
Main Methods:
- Utilized a novel saccade-countermanding paradigm with periodic visual targets.
- Varied the stop signal delay (SSD) relative to the target onset.
- Analyzed subjects' ability to cancel saccades and the timing of corrective saccades.
Main Results:
- Stopping saccadic sequences was less successful during predictive tracking (1.0 Hz) compared to reactive tracking (0.2 Hz).
- For slower pacing (0.2 Hz), corrective saccade latency increased with SSD; for faster pacing (1.0 Hz), it remained constant.
- The neural 'GO' process for predictive tracking is estimated to be faster and shorter in duration than for reactive tracking.
Conclusions:
- Behavioral data offer insights into the initiation of predictive responses.
- Faster accumulation of neuronal discharge to a fixed threshold may underlie reduced reaction times in predictive tracking.
