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Related Concept Videos

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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Related Experiment Video

Updated: May 15, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

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Effort drives saccade selection.

Damian Koevoet1, Laura Van Zantwijk1, Marnix Naber1

  • 1Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands.

Elife
|April 7, 2025
PubMed
Summary
This summary is machine-generated.

Eye movements are guided by minimizing effort. The brain prioritizes saccade directions with lower "saccade costs," adapting this behavior based on cognitive demand and search tasks.

Keywords:
costdecision-makingefforthumanhumansneurosciencepupil sizesaccade selection

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Related Experiment Videos

Last Updated: May 15, 2025

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Area of Science:

  • Cognitive Neuroscience
  • Ophthalmology
  • Psychology

Background:

  • Pupil size is a known indicator of cognitive effort.
  • Previous research established pupil size as a marker for saccade effort ('saccade costs').

Purpose of the Study:

  • To investigate if 'saccade costs' critically influence saccade selection.
  • To determine if this principle applies during complex visual search tasks.
  • To examine how changing cognitive demand affects saccade behavior.

Main Methods:

  • Participants chose between saccade directions with varying associated costs.
  • Eye movements were tracked during search in natural scenes.
  • Cognitive demand was manipulated using an auditory counting task.

Main Results:

  • The direction with the least 'saccade cost' was consistently preferred.
  • This preference held true even during natural scene search.
  • Increased cognitive load reduced saccade frequency and particularly costly saccades.

Conclusions:

  • Saccade costs are a primary driver of eye movement selection.
  • The eye-movement system flexibly allocates resources with other cognitive functions.
  • Eye movement behavior is optimized to minimize inherent effort.