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Related Experiment Video

Updated: Nov 8, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
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Different computations underlie overt presaccadic and covert spatial attention.

Hsin-Hung Li1,2, Jasmine Pan3, Marisa Carrasco3,4

  • 1Department of Psychology, New York University, New York, NY, USA. hsin.hung.li@nyu.edu.

Nature Human Behaviour
|April 20, 2021
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Summary
This summary is machine-generated.

Presaccadic attention enhances visual responses before eye movements by altering response gain, unlike covert attention mechanisms. This study reveals distinct computational processes for overt and covert attention.

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Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Computational Neuroscience

Background:

  • Perception and action are closely linked, with visual responses enhanced before saccades (eye movements) due to presaccadic attention.
  • Presaccadic attention, a form of overt attention, is well-documented, but its computational basis is unclear.
  • Covert attention, without eye movements, is explained by normalization models, unlike overt attention.

Purpose of the Study:

  • To investigate the computational mechanisms underlying presaccadic attention.
  • To compare the computational processes of overt presaccadic attention with those of covert spatial attention.
  • To determine how presaccadic attention modulates visual performance.

Main Methods:

  • Conducted a series of psychophysical experiments to measure visual performance.
  • Analyzed changes in visual responses in relation to saccade onset and attention field size.
  • Compared empirical results with predictions from a normalization model of attention.

Main Results:

  • Presaccadic attention modulates visual performance exclusively through response gain changes.
  • Response gain changes were observed even with increased attention field size, contradicting normalization model predictions.
  • Empirical findings indicate that overt presaccadic and covert spatial attention utilize different computational strategies.

Conclusions:

  • The computational process of presaccadic attention involves response gain modulation.
  • Normalization models do not fully explain the effects of presaccadic attention, particularly concerning attention field size.
  • Overt and covert attention employ distinct computational mechanisms for perceptual modulation.