ArticleiScience2023
Pupillary dynamics reflect the impact of temporal expectation on detection strategy.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Neural and autonomic predictors of future listening errors.bioRxiv : the preprint server for biology · 2026Article
- Phasic Alertness Impairs Cognitive Control by Amplifying Competition between Evidence Accumulators.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Spatial but not temporal orienting of attention enhances the temporal acuity of human peripheral vision.Communications psychology · 2025Article
- Pupillary responses to directional uncertainty while intercepting a moving target.Royal Society open science · 2024Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Everyday life's perceptual decision-making is informed by experience. In particular, temporal expectation can ease the detection of relevant events in noisy sensory streams. Here, we investigated if humans can extract hidden temporal cues from the occurrences of probabilistic targets and utilize them to inform target detection in a complex acoustic stream. To understand what neural mechanisms implement temporal expectation influence on decision-making, we used pupillometry as a proxy for underlying neuromodulatory activity. We found that participants' detection strategy was influenced by the hidden temporal context and correlated with sound-evoked pupil dilation. A model of urgency fitted on false alarms predicted detection reaction time. Altogether, these findings suggest that temporal expectation informs decision-making and could be implemented through neuromodulatory-mediated urgency signals.
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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.