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Updated: Dec 25, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019
Spatial and temporal adaptation of predictive saccades based on motion inference
Takeshi D Itoh1,2, Ryuji Takeya1, Masaki Tanaka3
1Department of Physiology, Hokkaido University School of Medicine, Sapporo, 060-8638, Japan.
We learn to predict when and where moving objects reappear after occlusion. This predictive saccade adaptation is distinct from reactive saccade adaptation, suggesting different brain mechanisms for motion extrapolation and eye movement control.
Area of Science:
- Neuroscience
- Oculomotor control
- Perception
Background:
- Humans and animals can predict the reappearance of occluded moving objects.
- Predictive eye movements (saccades) are crucial for tracking these objects.
Purpose of the Study:
- To investigate adaptive learning in the prediction of object reappearance.
- To differentiate the neural mechanisms underlying predictive and reactive saccades.
Main Methods:
- Monkeys performed predictive saccades to anticipated object reappearance locations.
- Systematic changes in target location and timing were introduced.
- The effects of adaptation on both predictive and reactive saccades were analyzed.
Main Results:
- Predictive saccade endpoints and latencies adapted to changes in target reappearance.
- Spatial adaptation of predictive saccades did not affect reactive saccades.
- Adaptation of reactive saccades altered predictive saccade metrics.
Conclusions:
- Motion trajectory extrapolation is subject to adaptive recalibration.
- Distinct neural pathways likely mediate predictive and reactive saccade adaptation.
- Cerebellar regions may differentially regulate trajectory prediction and saccade learning.
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