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Updated: Jun 17, 2026

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

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Optimal performance in a countermanding saccade task.

Kongfatt Wong-Lin1, Philip Eckhoff, Philip Holmes

  • 1Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA. kfwong@princeton.edu

Brain Research
|December 26, 2009
PubMed
Summary
This summary is machine-generated.

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This study models cognitive control in action stopping. Pre-target fixation neuron activity optimizes performance in countermanding tasks, maximizing reward rate based on task parameters.

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience

Background:

  • Action control involves inhibiting planned movements, crucial for adaptive behavior.
  • Saccade countermanding tasks probe the neural mechanisms of cognitive control.
  • Previous research identified neural correlates in frontal eye fields and superior colliculus.

Purpose of the Study:

  • To extend a neural network model of action countermanding.
  • To explain the role of high pre-target fixation neuron activity.
  • To investigate how this activity optimizes performance and reward rate.

Main Methods:

  • Developed an extended neural network model for action countermanding.
  • Incorporated pre-target fixation neuron activity into the model.
  • Utilized computer simulations and mathematical analysis.

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Published on: July 14, 2016

Related Experiment Videos

Last Updated: Jun 17, 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

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function
05:44

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function

Published on: July 14, 2016

Main Results:

  • Pre-target fixation neuron activity supports optimal countermanding behavior.
  • Model demonstrates maximization of reward rate across various task parameters (stop signal delay, trial fraction, etc.).
  • Predictions for optimal behavior were derived.

Conclusions:

  • Pre-target fixation neuron activity is a key component of cognitive control mechanisms.
  • This activity dynamically adjusts behavior to maximize reward rate in countermanding tasks.
  • Proposed experiments can validate the model's predictions regarding optimal performance.