ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019
Pupil-Linked Arousal Responds to Unconscious Surprisal.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Neural Oscillatory Signatures of Predictive Processing in Visual Statistical Learning.Annals of the New York Academy of Sciences · 2026Article
- Fluctuations in arousal reflect latent state transitions that facilitate behavioural optimization.Nature human behaviour · 2026Article
- Placebo and nocebo effects on pain through the lens of the predictive brain: Neurobiological mechanisms and translational implications.Experimental physiology · 2026Review
- Eye Tracking Insights Into Movement Preparation and Execution Under Nonstandard Visual Movement Feedback.Psychophysiology · 2026Article
- Modality-general sensitivity of pupil responses to regularity violations.Cognitive, affective & behavioral neuroscience · 2026Article
- eyeris: A Flexible, Extensible, and Reproducible Pupillometry Preprocessing Framework in R.Psychophysiology · 2026Article
- Stimulus statistical context sensitivity of deviant responses to auditory intensity changes.Scientific reports · 2026Article
- Article
- Sleuthing subjectivity: a review of covert measures of consciousness.Nature reviews. Neuroscience · 2025Review
- Pupil responds spontaneously to visuospatial regularity.Journal of vision · 2025Article
- What can ANS signals tell us about motor learning? An implication for better assessment of cognitive contribution to motor learning.Frontiers in behavioral neuroscience · 2025Article
- Eye pupils mirror information divergence in approximate inference.Scientific reports · 2024Article
- Toward a computational role for locus coeruleus/norepinephrine arousal systems.Current opinion in behavioral sciences · 2024Article
- Pupil diameter as an indicator of sound pair familiarity after statistically structured auditory sequence.Scientific reports · 2024Article
- From pre-processing to advanced dynamic modeling of pupil data.Behavior research methods · 2024Article
- Fame through surprise: How fame-seeking mass shooters diversify their attacks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Pupillometry to Assess Auditory Sensation in Guinea Pigs.Journal of visualized experiments : JoVE · 2023Article
- Pupil diameter tracked during motor adaptation in humans.Journal of neurophysiology · 2022Article
- Is Categorization in Visual Working Memory a Way to Reduce Mental Effort? A Pupillometry Study.Cognitive science · 2022Article
- The oculomotor signature of expected surprise.Scientific reports · 2022Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Pupil size under constant illumination reflects brain arousal state, and dilates in response to novel information, or surprisal. Whether this response can be observed regardless of conscious perception is still unknown. In the present study, male and female adult humans performed an implicit learning task across a series of three experiments. We measured pupil and brain-evoked potentials to stimuli that violated transition statistics but were not relevant to the task. We found that pupil size dilated following these surprising events, in the absence of awareness of transition statistics, and only when attention was allocated to the stimulus. These pupil responses correlated with central potentials, evoking an anterior cingulate origin. Arousal response to surprisal outside the scope of conscious perception points to the fundamental relationship between arousal and information processing and indicates that pupil size can be used to track the progression of implicit learning.
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Registered trials
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.