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Related Experiment Video

Updated: May 15, 2026

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

Spatial attention, precision, and Bayesian inference: a study of saccadic response speed.

Simone Vossel1, Christoph Mathys, Jean Daunizeau

  • 1Wellcome Trust Centre for Neuroimaging, University College London, WC1N 3BG London, UK.

Cerebral Cortex (New York, N.Y. : 1991)
|January 17, 2013
PubMed
Summary

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The brain infers environmental statistics to adapt behavior. In volatile environments, saccadic response speed reflects belief precision about sensory input, supporting Bayesian brain theories of spatial attention.

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Psychology

Background:

  • The brain infers environmental statistical structure to adapt behavior.
  • Spatial attention, studied via Posner's location-cueing paradigm, involves orienting to cued locations.
  • This study examines a volatile environment where cue validity changes unpredictably.

Purpose of the Study:

  • To investigate how the brain adapts to changing probabilistic contexts in spatial attention tasks.
  • To model trial-by-trial belief updates using a Bayesian learning scheme.
  • To determine how computational states translate into observable behavior, specifically saccadic response speed.

Main Methods:

  • Recorded saccadic response speed (RS) in 15 human subjects.
  • Employed a Bayesian learning scheme to model subjects' belief updates.
Keywords:
cue validityhierarchical modelsvariational Bayesvisuospatial processingvolatility

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Last Updated: May 15, 2026

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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Published on: August 25, 2020

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

  • Utilized Bayesian model selection to compare different response models.

    • Main Results:

    • Saccadic RS was best explained by the precision of beliefs about sensory input causes.
    • Findings align with Bayesian theories proposing precision-dependent gain modulation for spatial attention.
    • Empirical support for precision-dependent belief changes in saccade target localization was found.

    Conclusions:

    • The brain's adaptation to volatile environments involves precision-weighted Bayesian inference.
    • Spatial attention mechanisms are modulated by the precision of sensory evidence.
    • Results encourage further neuroimaging and neuropharmacological research into Bayesian inference in spatial attention.