Evidence map›Paper›PMID 26551541›Full record

ArticleNature neuroscience2015

Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice.

Shogo Ohmae, Javier F Medina

Abstract read
In one paragraph

Article in Nature neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing 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

161 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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
  5. The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Critical period plasticity enables credit assignment.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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
  14. Review
  15. Article
  16. Review
  17. Impulsivity in cerebellar ataxia: an online, multidimensional assessment.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
  18. Article
  19. Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026
    Review
  20. Article

101 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

2 authors.

Shogo OhmaeDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Javier F MedinaDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.

Funding

Coding and processing of error signals in inferior olivary-cerebellar networksR01MH093727 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI JAVIER F MEDINA · 2011 to 2026
$6.7M
NIMH NIH HHS R01 MH093727
6 · The paper itself

Abstract

Climbing fiber inputs to Purkinje cells are thought to be involved in generating the instructive signals that drive cerebellar learning. To investigate how these instructive signals are encoded, we recorded the activity of individual climbing fibers during cerebellum-dependent eyeblink conditioning in mice. We found that climbing fibers signaled both the unexpected delivery and the unexpected omission of the periocular airpuff that served as the instructive signal for eyeblink conditioning. In addition, we observed that climbing fibers activated by periocular airpuffs also responded to stimuli from other sensory modalities if those stimuli were novel or if they predicted that the periocular airpuff was about to be presented. This pattern of climbing fiber activity is markedly similar to the responses of dopamine neurons during reinforcement learning, which have been shown to encode a particular type of instructive signal known as a temporal difference prediction error.

Indexed as

Action PotentialsAnimalsCerebellumForecastingLearningMaleMiceMice, Inbred C57BLPurkinje CellsTime Factors

Identifiers

PMID26551541
PMCPMC4754078

What OpenQuestion holds

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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.