Evidence map›Paper›PMID 33319749›Full record

ArticleeLife2020

Using the past to estimate sensory uncertainty.

Ulrik Beierholm, Tim Rohe, Ambra Ferrari, Oliver Stegle, Uta Noppeney

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Review
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  11. The Neurophysiological Basis of the Trial-Wise and Cumulative Ventriloquism Aftereffects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  12. Article
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.

Ulrik Beierholm *Psychology Department, Durham University, Durham, United Kingdom.ORCID 0000-0002-7296-7996
Tim Rohe *Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany.ORCID 0000-0001-9713-3712
Ambra FerrariCentre for Computational Neuroscience and Cognitive Robotics, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-1946-3884
Oliver StegleMax Planck Institute for Intelligent Systems, Tübingen, Germany.
Uta NoppeneyCentre for Computational Neuroscience and Cognitive Robotics, University of Birmingham, Birmingham, United Kingdom.

Funding

Deutsche Forschungsgemeinschaft DFG RO 5587/1-1European Research Council ERC-multsens,309349H2020 European Research Council ERC-multsens,309349
6 · The paper itself

Abstract

To form a more reliable percept of the environment, the brain needs to estimate its own sensory uncertainty. Current theories of perceptual inference assume that the brain computes sensory uncertainty instantaneously and independently for each stimulus. We evaluated this assumption in four psychophysical experiments, in which human observers localized auditory signals that were presented synchronously with spatially disparate visual signals. Critically, the visual noise changed dynamically over time continuously or with intermittent jumps. Our results show that observers integrate audiovisual inputs weighted by sensory uncertainty estimates that combine information from past and current signals consistent with an optimal Bayesian learner that can be approximated by exponential discounting. Our results challenge leading models of perceptual inference where sensory uncertainty estimates depend only on the current stimulus. They demonstrate that the brain capitalizes on the temporal dynamics of the external world and estimates sensory uncertainty by combining past experiences with new incoming sensory signals.

Indexed as

UncertaintyAdolescentAdultAuditory PerceptionBayes TheoremBrainFemaleHumansMaleMiddle AgedNoisePsychophysicsVisual PerceptionYoung AdultBayesian inference and learningcue combinationhumanmultisensory integrationneuroscienceperceptionsensory uncertainty

Identifiers

PMID33319749
PMCPMC7806269

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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.