ArticleBehavior research methods2024
Open-DPSM: An open-source toolkit for modeling pupil size changes to dynamic visual inputs.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Where you didn't look: Perimetry based on the analysis of free-viewing gaze behavior while watching movie clips.Journal of vision · 2026Article
- Modality-general sensitivity of pupil responses to regularity violations.Cognitive, affective & behavioral neuroscience · 2026Article
- Imaging the spatiotemporal dynamics of covert attention with a pupillometric probing paradigm.iScience · 2026Article
- Snip & Stitch: a simple and accessible correction for the pupil foreshortening error.Behavior research methods · 2026Article
- Pupillary dynamics during hands-off L2 driving and transitions of control under high cognitive load.PloS one · 2026Article
- Dimensionality reduction techniques in pupillometry research: A primer for behavioral scientists.Behavior research methods · 2025Article
- Measuring spatial and temporal properties of visual crowding using continuous psychophysics.Journal of vision · 2025Article
- Mapping simulated visual field defects with movie-viewing pupil perimetry.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- Uncovering Distinct Drivers of Covert Attention in Complex Environments With Pupillometry.Psychophysiology · 2025Article
- Presaccadic Attention Shifts Up- and Downwards: Evidence From the Pupil Light Response.Psychophysiology · 2025Article
- Trial-by-trial detection of cognitive events in neural time-series.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pupil size change is a widely adopted, sensitive indicator for sensory and cognitive processes. However, the interpretation of these changes is complicated by the influence of multiple low-level effects, such as brightness or contrast changes, posing challenges to applying pupillometry outside of extremely controlled settings. Building on and extending previous models, we here introduce Open Dynamic Pupil Size Modeling (Open-DPSM), an open-source toolkit to model pupil size changes to dynamically changing visual inputs using a convolution approach. Open-DPSM incorporates three key steps: (1) Modeling pupillary responses to both luminance and contrast changes; (2) Weighing of the distinct contributions of visual events across the visual field on pupil size change; and (3) Incorporating gaze-contingent visual event extraction and modeling. These steps improve the prediction of pupil size changes beyond the here-evaluated benchmarks. Open-DPSM provides Python functions, as well as a graphical user interface (GUI), enabling the extension of its applications to versatile scenarios and adaptations to individualized needs. By obtaining a predicted pupil trace using video and eye-tracking data, users can mitigate the effects of low-level features by subtracting the predicted trace or assess the efficacy of the low-level feature manipulations a priori by comparing estimated traces across conditions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.