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Related Experiment Video

Updated: Dec 26, 2025

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Modeling pupil responses to rapid sequential events.

Rachel N Denison1, Jacob A Parker2,3, Marisa Carrasco2

  • 1Department of Psychology and Center for Neural Science, New York University, 6 Washington Place, New York, NY, 10003, USA. rachel.denison@nyu.edu.

Behavior Research Methods
|March 8, 2020
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Summary
This summary is machine-generated.

This study introduces a new computational model to accurately analyze pupil size changes, revealing cognitive processes even with rapid events. The open-source Pupil Response Estimation Toolbox (PRET) aids researchers in understanding these complex dynamics.

Keywords:
ModelPRETPupil response functionPupillometryTemporal attention

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Area of Science:

  • Cognitive Neuroscience
  • Psychophysiology
  • Computational Modeling

Background:

  • Pupil size is a noninvasive indicator of cognitive and perceptual processes.
  • Pupil dilation dynamics are slow, complicating analysis of rapid, sequential events.
  • Existing models for linking pupil size to trial events lack systematic evaluation.

Purpose of the Study:

  • Develop and evaluate a general linear model (GLM) pipeline for estimating pupillary responses to multiple rapid events.
  • Assess the impact of individual differences and response latencies on model accuracy.
  • Provide an open-source tool for pupil response analysis.

Main Methods:

  • Developed a GLM pipeline to estimate pupillary responses to rapid trial events.
  • Evaluated the pipeline using a dataset with sequential stimuli within 2-second trials.
  • Fit individual pupil impulse response functions (PuRFs) and allowed for non-zero response latencies.

Main Results:

  • Model fits improved with observer-specific PuRFs and non-simultaneous response timing.
  • Individual PuRFs showed significant variation but were consistent within individuals.
  • Parameter recovery confirmed model validity, and cognitive tasks modulated pupil response amplitude.

Conclusions:

  • The developed GLM pipeline accurately estimates pupillary responses to rapid events.
  • Individualized response functions and flexible latency modeling enhance analysis accuracy.
  • The open-source Pupil Response Estimation Toolbox (PRET) facilitates broader research in psychophysiology.