ArticleScientific reports2024
Eye pupils mirror information divergence in approximate inference.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Unveiling the Aha! moment: A computational account of insight in active inference.Psychonomic bulletin & review · 2026Review
- Article
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3 authors.
Funding
Abstract
Pupil dilation is considered to track the arousal state linked to a wide range of cognitive processes. A recent article suggested the potential to unify findings in pupillometry studies based on an information theory framework and Bayesian methods. However, Bayesian methods become computationally intractable in many realistic situations. Thus, the present study examined whether pupil responses reflect the amount of information quantified in approximate inference, a practical method in a complex environment. We measured the pupil diameters of 27 healthy adults instructed to predict each subsequent number to be presented in a series, and to update their predictions at several discrete change points when an outcome generation criterion changed. Individual differences in task performance and pupil response were modeled by a variational Bayes method, which quantified prediction uncertainty and change point probability as Kullback-Leibler divergence (D
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