Evidence map›Paper›PMID 36197002›Full record

ArticleeLife2022

Contextual effects in sensorimotor adaptation adhere to associative learning rules.

Guy Avraham, Jordan A Taylor, Assaf Breska, Richard B Ivry, Samuel D McDougle

Abstract read
In one paragraph

Article in eLife, 2022. 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
–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

30 citing papers in PubMed.

  1. Article
  2. Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026
    Article
  3. The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Cerebellar contributions to action and cognition: Prediction, timescale, and continuity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Motor working memory.Trends in cognitive sciences · 2026
    Review
  9. Article
  10. Attention Defines the Context for Implicit Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The Role of Visual Information Quantity in Fine Motor Performance.Journal of functional morphology and kinesiology · 2024
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Guy AvrahamDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-6170-1041
Jordan A TaylorDepartment of Psychology, Princeton University, Princeton, United States.ORCID 0000-0001-9300-1229
Assaf BreskaDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-6233-073X
Richard B IvryDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-4728-5130
Samuel D McDougleDepartment of Psychology, Yale University, New Haven, United States.ORCID 0000-0001-8100-4238

Funding

Human Cerebellar Function in Multiple Task DomainsR35NS116883 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RICHARD IVRY · 2020 to 2026
$5.3M
A model system to study the interaction of multiple processes for motor learningR01NS084948 · NINDS · PRINCETON UNIVERSITY · PI TAYLOR, JORDAN A · 2013 to 2017
$1.7M
NINDS NIH HHS R01 NS084948NINDS NIH HHS R35 NS116883
6 · The paper itself

Abstract

Traditional associative learning tasks focus on the formation of associations between salient events and arbitrary stimuli that predict those events. This is exemplified in cerebellar-dependent delay eyeblink conditioning, where arbitrary cues such as a tone or light act as conditioned stimuli (CSs) that predict aversive sensations at the cornea (unconditioned stimulus [US]). Here, we ask if a similar framework could be applied to another type of cerebellar-dependent sensorimotor learning - sensorimotor adaptation. Models of sensorimotor adaptation posit that the introduction of an environmental perturbation results in an error signal that is used to update an internal model of a sensorimotor map for motor planning. Here, we take a step toward an integrative account of these two forms of cerebellar-dependent learning, examining the relevance of core concepts from associative learning for sensorimotor adaptation. Using a visuomotor adaptation reaching task, we paired movement-related feedback (US) with neutral auditory or visual contextual cues that served as CSs. Trial-by-trial changes in feedforward movement kinematics exhibited three key signatures of associative learning: differential conditioning, sensitivity to the CS-US interval, and compound conditioning. Moreover, after compound conditioning, a robust negative correlation was observed between responses to the two elemental CSs of the compound (i.e. overshadowing), consistent with the additivity principle posited by theories of associative learning. The existence of associative learning effects in sensorimotor adaptation provides a proof-of-concept for linking cerebellar-dependent learning paradigms within a common theoretical framework.

Indexed as

CerebellumConditioning, ClassicalAdaptation, PhysiologicalBlinkingCuesassociative learningcerebellumcontextforward modelhumanneurosciencesensorimotor adaptation

Identifiers

PMID36197002
PMCPMC9635873

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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.