Evidence map›Paper›PMID 34169838›Full record

ArticleeLife2021

De novo learning versus adaptation of continuous control in a manual tracking task.

Christopher S Yang, Noah J Cowan, Adrian M Haith

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  5. Article
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  9. Switching between Newly Learned Motor Skills.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Motor cortex flexibly deploys a high-dimensional repertoire of subskills.bioRxiv : the preprint server for biology · 2025
    Article
  12. Indirect feedback hinders explicit sensorimotor adaptation.Proceedings. Biological sciences · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

3 authors.

Christopher S YangDepartment of Neuroscience, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-7645-3861
Noah J CowanDepartment of Mechanical Engineering, Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, United States.ORCID 0000-0003-2502-3770
Adrian M HaithDepartment of Neurology, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-5658-8654

Funding

Training Program in NeuroscienceT32NS091018 · NINDS · JOHNS HOPKINS UNIVERSITY · PI JAMES J KNIERIM, Daniel Hans O'Connor · 2015 to 2026
$4.1M
National Science Foundation 1825489NIH HHS 5T32NS091018-17NIH HHS 5T32NS091018-18NINDS NIH HHS T32 NS091018
6 · The paper itself

Abstract

How do people learn to perform tasks that require continuous adjustments of motor output, like riding a bicycle? People rely heavily on cognitive strategies when learning discrete movement tasks, but such time-consuming strategies are infeasible in continuous control tasks that demand rapid responses to ongoing sensory feedback. To understand how people can learn to perform such tasks without the benefit of cognitive strategies, we imposed a rotation/mirror reversal of visual feedback while participants performed a continuous tracking task. We analyzed behavior using a system identification approach, which revealed two qualitatively different components of learning: adaptation of a baseline controller and formation of a new, task-specific continuous controller. These components exhibited different signatures in the frequency domain and were differentially engaged under the rotation/mirror reversal. Our results demonstrate that people can rapidly build a new continuous controller

Indexed as

Adaptation, PsychologicalLearningMotor SkillsPsychomotor PerformanceVisual PerceptionAdultFemaleHumansMaleYoung Adultadaptationcontinuous controlhumanmotor learningneuroscience

Identifiers

PMID34169838
PMCPMC8266385

What OpenQuestion holds

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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.