Evidence map›Paper›PMID 28244874›Full record

ArticleeLife2017

Neural markers of predictive coding under perceptual uncertainty revealed with Hierarchical Frequency Tagging.

Noam Gordon, Roger Koenig-Robert, Naotsugu Tsuchiya, Jeroen Ja van Boxtel, Jakob Hohwy

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

  1. Trial
  2. Review
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  7. Hybrid predictive coding: Inferring, fast and slow.PLoS computational biology · 2023
    Article
  8. Surprising Threats Accelerate Conscious Perception.Frontiers in behavioral neuroscience · 2022
    Article
  9. Article
  10. Predictive Feedback, Early Sensory Representations, and Fast Responses to Predicted Stimuli Depend on NMDA Receptors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  11. Modulation of the Primary Auditory Thalamus When Recognizing Speech with Background Noise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Dynamics of Heading and Choice-Related Signals in the Parieto-Insular Vestibular Cortex of Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  16. Inattention and Uncertainty in the Predictive Brain.Frontiers in neuroergonomics · 2021
    Article
  17. Article
  18. Article
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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

5 authors.

Noam GordonCognition and Philosophy Lab, Philosophy Department, Monash University, Clayton, Australia.ORCID 0000-0003-4438-7449
Roger Koenig-RobertSchool of Psychology, The University of New South Wales, Sydney, Australia.ORCID 0000-0002-8767-3552
Naotsugu TsuchiyaMonash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, Australia.ORCID 0000-0003-4216-8701
Jeroen Ja van BoxtelMonash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, Australia.ORCID 0000-0003-2643-0474
Jakob HohwyCognition and Philosophy Lab, Philosophy Department, Monash University, Clayton, Australia.ORCID 0000-0003-3906-3060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing understanding that both top-down and bottom-up signals underlie perception. But it is not known how these signals integrate with each other and how this depends on the perceived stimuli's predictability. 'Predictive coding' theories describe this integration in terms of how well top-down predictions fit with bottom-up sensory input. Identifying neural markers for such signal integration is therefore essential for the study of perception and predictive coding theories. To achieve this, we combined EEG methods that preferentially tag different levels in the visual hierarchy. Importantly, we examined intermodulation components as a measure of integration between these signals. Our results link the different signals to core aspects of predictive coding, and suggest that top-down predictions indeed integrate with bottom-up signals in a manner that is modulated by the predictability of the sensory input, providing evidence for predictive coding and opening new avenues to studying such interactions in perception.

Indexed as

Visual PerceptionAdultElectroencephalographyFemaleHumansMaleModels, NeurologicalVisual CortexYoung AdultHierarchical Frequency Tagginghumanintermodulationneurosciencepredictive codingSemantic Wavelet-Induced Frequency Tagging

Identifiers

PMID28244874
PMCPMC5360443

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Registered trials

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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.