Evidence map›Paper›PMID 24381248›Full record

ArticleeLife2013

Interaction of plasticity and circuit organization during the acquisition of cerebellum-dependent motor learning.

Yan Yang, Stephen G Lisberger

Open access · goldAbstract read
In one paragraph

Article in eLife, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

34 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  15. Purkinje Cell Representations of Behavior: Diary of a Busy Neuron.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2019
    Review
  16. Review
  17. Complex Spike Wars: a New Hope.Cerebellum (London, England) · 2018
    Review
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 1 country.

Yan YangDepartment of Neurobiology, Duke University School of Medicine, Durham, United States.
Stephen G Lisberger
Duke University · USHoward Hughes Medical Institute · US

Funding

NEURAL CONTROL OF EYE MOVEMENTR01EY003878 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LISBERGER, STEPHEN G · 1985 to 2013
$2.5M
NEI NIH HHS R01 EY003878
6 · The paper itself

Abstract

Motor learning occurs through interactions between the cerebellar circuit and cellular plasticity at different sites. Previous work has established plasticity in brain slices and suggested plausible sites of behavioral learning. We now reveal what actually happens in the cerebellum during short-term learning. We monitor the expression of plasticity in the simple-spike firing of cerebellar Purkinje cells during trial-over-trial learning in smooth pursuit eye movements of monkeys. Our findings imply that: 1) a single complex-spike response driven by one instruction for learning causes short-term plasticity in a Purkinje cell's mossy fiber/parallel-fiber input pathways; 2) complex-spike responses and simple-spike firing rate are correlated across the Purkinje cell population; and 3) simple-spike firing rate at the time of an instruction for learning modulates the probability of a complex-spike response, possibly through a disynaptic feedback pathway to the inferior olive. These mechanisms may participate in long-term motor learning. DOI: http://dx.doi.org/10.7554/eLife.01574.001.

Indexed as

LearningNeuronal PlasticityAction PotentialsAnimalsBehavior, AnimalCerebellumEye MovementsMacaca mulattaMalePurkinje Cellscerebellar learningclimbing fiberfloccular complexnon-human primatesmooth pursuit eye movementstrial-over-trial learning

Identifiers

PMID24381248
PMCPMC3871706
OpenAlexW2161860378

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.