Evidence map›Paper›PMID 30224805›Full record

ArticleNature neuroscience2018

Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions.

William Heffley, Eun Young Song, Ziye Xu, Benjamin N Taylor, Mary Anne Hughes, Andrew McKinney, Mati Joshua, Court Hull

Abstract read
In one paragraph

Article in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 2 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

125 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Representations of Subsecond Duration-Based Timing by Complex Spike Synchrony in Cerebellar Purkinje Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Critical period plasticity enables credit assignment.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Impulsivity in cerebellar ataxia: an online, multidimensional assessment.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
  18. Review
  19. Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026
    Review
  20. Article

65 more citing papers are in PubMed but not listed here.

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

8 authors.

William HeffleyDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.
Eun Young SongDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.
Ziye XuDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.
Benjamin N TaylorDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.
Mary Anne HughesDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.
Andrew McKinneyDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.ORCID http://orcid.org/0000-0003-4439-2264
Mati JoshuaDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA.
Court HullDepartment of Neurobiology, Duke University Medical School, Durham, NC, USA. hull@neuro.duke.edu.ORCID http://orcid.org/0000-0002-0360-8367

Funding

Neuromodulatory Control of Cerebellar Synaptic Processing and Sensory InputR01NS096289 · NINDS · DUKE UNIVERSITY · PI HULL, COURT A · 2016 to 2020
$1.7M
Re-examining the role of cerebellar climbing fibers in motor learningF31NS103425 · NINDS · DUKE UNIVERSITY · PI HEFFLEY, WILLIAM EDWARD · 2017 to 2018
$71k
NINDS NIH HHS F31 NS103425NINDS NIH HHS R01 NS096289
6 · The paper itself

Abstract

The prevailing model of cerebellar learning states that climbing fibers (CFs) are both driven by, and serve to correct, erroneous motor output. However, this model is grounded largely in studies of behaviors that utilize hardwired neural pathways to link sensory input to motor output. To test whether this model applies to more flexible learning regimes that require arbitrary sensorimotor associations, we developed a cerebellar-dependent motor learning task that is compatible with both mesoscale and single-dendrite-resolution calcium imaging in mice. We found that CFs were preferentially driven by and more time-locked to correctly executed movements and other task parameters that predict reward outcome, exhibiting widespread correlated activity in parasagittal processing zones that was governed by these predictions. Together, our data suggest that such CF activity patterns are well-suited to drive learning by providing predictive instructional input that is consistent with an unsigned reinforcement learning signal but does not rely exclusively on motor errors.

Indexed as

Action PotentialsAnimalsCalciumCalcium-Calmodulin-Dependent Protein KinasesCerebellumExcitatory Amino Acid AgentsGlycineGuanine Nucleotide Exchange FactorsLearningMiceMice, Inbred C57BLMice, TransgenicMotor ActivityNerve FibersNeural PathwaysNeurons6-chloro-2-(1-piperazinyl)pyrazineCalciumCalcium-Calmodulin-Dependent Protein KinasesExcitatory Amino Acid AgentsGlycineGuanine Nucleotide Exchange Factorsmethyl-(4-carboxyphenyl)glycineNeuropeptidesPcp2 protein, mousePyrazines

Identifiers

PMID30224805
PMCPMC6362851

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.