Evidence map›Paper›PMID 32223891›Full record

RevieweLife2020

Prediction signals in the cerebellum: beyond supervised motor learning.

Court Hull

Abstract readReview
In one paragraph

Review in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 5 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

101 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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
  11. Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. 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
  20. Article

41 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

1 author.

Court HullDepartment of Neurobiology, Duke University School of Medicine, Durham, United States.ORCID 0000-0002-0360-8367

Funding

Canonical computations for motor learning by the cerebellar cortex micro-circuitR01NS112917 · NINDS · DUKE UNIVERSITY · PI LISBERGER, STEPHEN G, MEDINA, JAVIER F · 2019 to 2023
$6.4M
Neuromodulatory Control of Cerebellar Synaptic Processing and Sensory InputR01NS096289 · NINDS · DUKE UNIVERSITY · PI HULL, COURT A · 2016 to 2020
$1.7M
NINDS NIH HHS R01 NS096289NINDS NIH HHS R01 NS112917
6 · The paper itself

Abstract

While classical views of cerebellar learning have suggested that this structure predominantly operates according to an error-based supervised learning rule to refine movements, emerging evidence suggests that the cerebellum may also harness a wider range of learning rules to contribute to a variety of behaviors, including cognitive processes. Together, such evidence points to a broad role for cerebellar circuits in generating and testing predictions about movement, reward, and other non-motor operations. However, this expanded view of cerebellar processing also raises many new questions about how such apparent diversity of function arises from a structure with striking homogeneity. Hence, this review will highlight both current evidence for predictive cerebellar circuit function that extends beyond the classical view of error-driven supervised learning, as well as open questions that must be addressed to unify our understanding cerebellar circuit function.

Indexed as

LearningAnimalsCerebellumHumansMiceModels, NeurologicalMovementcerebellummotor learningneural circuitsneuroscience

Identifiers

PMID32223891
PMCPMC7105376

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.