Evidence map›Paper›PMID 37248339›Full record

ArticleNature neuroscience2023

Cerebellar associative learning underlies skilled reach adaptation.

Dylan J Calame, Matthew I Becker, Abigail L Person

Abstract read
In one paragraph

Article in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  3. Review
  4. Review
  5. Article
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  8. Review
  9. Article
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  11. Article
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  14. Article
  15. Control of tongue movements by the Purkinje cells of the cerebellum.bioRxiv : the preprint server for biology · 2025
    Article
  16. Review
  17. Striatal Dopamine Contributions to Skilled Motor Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  18. Open-Source Platform for Kinematic Analysis of Mouse Forelimb Movement.bioRxiv : the preprint server for biology · 2024
    Article
  19. The olivary input to the cerebellum dissociates sensory events from movement plans.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. A cerebellar population coding model for sensorimotor learning.bioRxiv : the preprint server for biology · 2024
    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

3 authors.

Dylan J CalameNeuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, USA.
Matthew I BeckerNeuroscience Graduate Program, University of Colorado School of Medicine, Aurora, CO, USA.
Abigail L PersonDepartment of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, CO, USA. abigail.person@cuanschutz.edu.ORCID http://orcid.org/0000-0001-9805-7600

Funding

Circuit mechanisms of cerebellar control of reaching movementsR01NS114430 · NINDS · UNIVERSITY OF COLORADO DENVER · PI Jason M Christie, Abigail L Person · 2019 to 2026
$3.4M
Mechanisms of Purkinje Cell Encoding of Limb Kinematics in Skilled ReachF31NS113395 · NINDS · UNIVERSITY OF COLORADO DENVER · PI CALAME, DYLAN · 2019 to 2021
$90k
NINDS NIH HHS F31 NS113395NINDS NIH HHS R01 NS114430
6 · The paper itself

Abstract

The cerebellum is hypothesized to refine movement through online adjustments. We examined how such predictive control may be generated using a mouse reach paradigm, testing whether the cerebellum uses within-reach information as a predictor to adjust reach kinematics. We first identified a population-level response in Purkinje cells that scales inversely with reach velocity, pointing to the cerebellar cortex as a potential site linking kinematic predictors and anticipatory control. Next, we showed that mice can learn to compensate for a predictable reach perturbation caused by repeated, closed-loop optogenetic stimulation of pontocerebellar mossy fiber inputs. Both neural and behavioral readouts showed adaptation to position-locked mossy fiber perturbations and exhibited aftereffects when stimulation was removed. Surprisingly, position-randomized stimulation schedules drove partial adaptation but no opposing aftereffects. A model that recapitulated these findings suggests that the cerebellum may decipher cause-and-effect relationships through time-dependent generalization mechanisms.

Indexed as

CerebellumPurkinje CellsConditioning, ClassicalLearningMovement

Identifiers

PMID37248339
PMCPMC12360377

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.