Evidence map›Paper›PMID 29444860›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Humans quickly learn to blink strategically in response to environmental task demands.

David Hoppe, Stefan Helfmann, Constantin A Rothkopf

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
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  7. Dissociable Pupil and Oculomotor Markers of Attention Allocation and Distractor Suppression during Listening.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Article
  9. Review
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  11. Review
  12. Article
  13. Article
  14. Blink and you see it.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Eye blinks as a visual processing stage.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Resolving visual motion through perceptual gaps.Trends in cognitive sciences · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

David HoppeCentre for Cognitive Science, Technical University Darmstadt, 64283 Darmstadt, Germany.
Stefan HelfmannInstitute of Psychology, Technical University Darmstadt, 64283 Darmstadt, Germany.
Constantin A RothkopfCentre for Cognitive Science, Technical University Darmstadt, 64283 Darmstadt, Germany; rothkopf@psychologie.tu-darmstadt.de.
Technical University of Darmstadt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eye blinking is one of the most frequent human actions. The control of blinking is thought to reflect complex interactions between maintaining clear and healthy vision and influences tied to central dopaminergic functions including cognitive states, psychological factors, and medical conditions. The most imminent consequence of blinking is a temporary loss of vision. Minimizing this loss of information is a prominent explanation for changes in blink rates and temporarily suppressed blinks, but quantifying this loss is difficult, as environmental regularities are usually complex and unknown. Here we used a controlled detection experiment with parametrically generated event statistics to investigate human blinking control. Subjects were able to learn environmental regularities and adapted their blinking behavior strategically to better detect future events. Crucially, our design enabled us to develop a computational model that allows quantifying the consequence of blinking in terms of task performance. The model formalizes ideas from active perception by describing blinking in terms of optimal control in trading off intrinsic costs for blink suppression with task-related costs for missing an event under perceptual uncertainty. Remarkably, this model not only is sufficient to reproduce key characteristics of the observed blinking behavior such as blink suppression and blink compensation but also predicts without further assumptions the well-known and diverse distributions of time intervals between blinks, for which an explanation has long been elusive.

Indexed as

EnvironmentAdultBehaviorBlinkingComputer SimulationFemaleHumansMaleMiddle AgedModels, BiologicalNormal DistributionProbabilitySaccadesVision, OcularYoung Adultcomputational modelingeye blinksindividual differencesinterblink intervalsinternal costs

Identifiers

PMID29444860
PMCPMC5834680
OpenAlexW2792668721

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.