Evidence map›Paper›PMID 38963410›Full record

ArticleeLife2024

Perceptual error based on Bayesian cue combination drives implicit motor adaptation.

Zhaoran Zhang, Huijun Wang, Tianyang Zhang, Zixuan Nie, Kunlin Wei

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Sequential Effects in Reaching Reveal Efficient Coding in Motor Planning.bioRxiv : the preprint server for biology · 2024
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  16. Motor adaptation is reduced by symbolic compared to sensory feedback.bioRxiv : the preprint server for biology · 2024
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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.

Zhaoran Zhang *School of Psychological and Cognitive Sciences, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-4192-4088
Huijun Wang *School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Tianyang ZhangSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Zixuan NieSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Kunlin WeiSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.ORCID https://orcid.org/0000-0001-5098-3808

Funding

National Natural Science Foundation of China 31871102National Natural Science Foundation of China 32071047National Natural Science Foundation of China 32300868National Natural Science Foundation of China 62061136001STI2030-Major Project 2021ZD0202600 2021ZD0202601
6 · The paper itself

Abstract

The sensorimotor system can recalibrate itself without our conscious awareness, a type of procedural learning whose computational mechanism remains undefined. Recent findings on implicit motor adaptation, such as over-learning from small perturbations and fast saturation for increasing perturbation size, challenge existing theories based on sensory errors. We argue that perceptual error, arising from the optimal combination of movement-related cues, is the primary driver of implicit adaptation. Central to our theory is the increasing sensory uncertainty of visual cues with increasing perturbations, which was validated through perceptual psychophysics (Experiment 1). Our theory predicts the learning dynamics of implicit adaptation across a spectrum of perturbation sizes on a trial-by-trial basis (Experiment 2). It explains proprioception changes and their relation to visual perturbation (Experiment 3). By modulating visual uncertainty in perturbation, we induced unique adaptation responses in line with our model predictions (Experiment 4). Overall, our perceptual error framework outperforms existing models based on sensory errors, suggesting that perceptual error in locating one's effector, supported by Bayesian cue integration, underpins the sensorimotor system's implicit adaptation.

Indexed as

Adaptation, PhysiologicalBayes TheoremCuesAdultFemaleHumansLearningMaleProprioceptionPsychomotor PerformanceVisual PerceptionYoung Adultbayesian cue combinationhumanimplicit motor learningmotor learningneuroscienceprediction errorprocedural learning

Identifiers

PMID38963410
PMCPMC11223768

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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.