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Related Experiment Video

Updated: May 1, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
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Predictive saccade target selection in superior colliculus during visual search.

Kelly Shen1, Martin Paré

  • 1Centre for Neuroscience Studies and Departments of Biomedical and Molecular Sciences and Psychology, Queen's University, Kingston, Ontario, Canada K7L 3N6.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|April 18, 2014
PubMed
Summary
This summary is machine-generated.

Visual search involves rapid eye movements (saccades). Neurons in the superior colliculus (SC) can predict future targets before current ones are acquired, enabling faster visual search.

Keywords:
concurrent processingmonkeysaccade target selectionvisual search

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Ophthalmology

Background:

  • Visual search relies on sequential gaze fixations and saccades.
  • Short fixation durations suggest concurrent processing of saccade targets.

Purpose of the Study:

  • To investigate if saccade target selection occurs before the current target is acquired.
  • To examine the predictive capabilities of sensorimotor neurons in the superior colliculus (SC) during visual search.

Main Methods:

  • Trained rhesus monkeys on a multiple-fixation visual conjunction search task.
  • Simultaneously recorded sensorimotor neuron activity in the SC.
  • Analyzed fixation durations and SC neuronal responses relative to saccade latencies.

Main Results:

  • Fixation durations were significantly shorter than initial response latencies.
  • SC neurons discriminated targets earlier for subsequent fixations than the first fixation.
  • Target selection preceded visual afferent delay in over half of neurons, indicating predictive processing.

Conclusions:

  • The superior colliculus (SC) exhibits predictive target selection, encompassing at least two future saccade targets.
  • Parallel processing of neural representations on the visual salience map facilitates efficient visual search.