Evidence map›Paper›PMID 31509108›Full record

ArticleeLife2019

Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum.

William Heffley, Court Hull

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

82 citing papers in PubMed, 150 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Cerebellar α1Cellular and molecular life sciences : CMLS · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

William HeffleyDepartment of Neurobiology, Duke University School of Medicine, Durham, United States.ORCID 0000-0001-7733-7398
Court HullDepartment of Neurobiology, Duke University School of Medicine, Durham, United States.ORCID 0000-0002-0360-8367
Duke University · US

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 5R01NS096289NINDS NIH HHS F31 NS103425NINDS NIH HHS F31NS103425NINDS NIH HHS R01 NS096289
6 · The paper itself

Abstract

Classical models of cerebellar learning posit that climbing fibers operate according to a supervised learning rule to instruct changes in motor output by signaling the occurrence of movement errors. However, cerebellar output is also associated with non-motor behaviors, and recently with modulating reward association pathways in the VTA. To test how the cerebellum processes reward related signals in the same type of classical conditioning behavior typically studied to evaluate reward processing in the VTA and striatum, we have used calcium imaging to visualize instructional signals carried by climbing fibers across the lateral cerebellum in mice before and after learning. We find distinct climbing fiber responses in three lateral cerebellar regions that can each signal reward prediction. These instructional signals are well suited to guide cerebellar learning based on reward expectation and enable a cerebellar contribution to reward driven behaviors, suggesting a broad role for the lateral cerebellum in reward-based learning.

Indexed as

Conditioning, ClassicalLearningMovementRewardAnimalsBehavior, AnimalCalcium SignalingCerebellumMiceNeural PathwaysOptical ImagingVentral Tegmental Areacerebellumclimbing fibermouseneurosciencereinforcement learning

Identifiers

PMID31509108
PMCPMC6845228
OpenAlexW2972815701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.