Evidence map›Paper›PMID 26949723›Full record

ArticleCurrent opinion in behavioral sciences2016

Mechanisms for motor timing in the cerebellar cortex.

Fredrik Johansson, Germund Hesslow, Javier F Medina

Open access · greenAbstract read
In one paragraph

Article in Current opinion in behavioral sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  5. Purkinje cell models: past, present and future.Frontiers in computational neuroscience · 2024
    Review
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  20. Learned response sequences in cerebellar Purkinje cells.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

3 authors at 2 institutions in 2 countries.

Fredrik JohanssonAssociative learning group, Department of Experimental Medical Science, Lund University, Lund, 22184, Sweden. ; The Linnaeus Center Thinking in Time: Cognition, Communication & Learning, Lund University, 22184 Lund, Sweden.
Germund HesslowAssociative learning group, Department of Experimental Medical Science, Lund University, Lund, 22184, Sweden. ; The Linnaeus Center Thinking in Time: Cognition, Communication & Learning, Lund University, 22184 Lund, Sweden.
Javier F MedinaDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas, USA.
Lund University · SEBaylor College of Medicine · US

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

In classical eyeblink conditioning a subject learns to blink to a previously neutral stimulus. This conditional response is timed to occur just before an air puff to the eye. The learning is known to depend on the cerebellar cortex where Purkinje cells respond with adaptively timed pauses in their spontaneous firing. The pauses in the inhibitory Purkinje cells cause disinhibition of the cerebellar nuclei, which elicit the overt blinks. The timing of a Purkinje cell response was previously thought to require a temporal code in the input signal but recent work suggests that the Purkinje cells can learn to time their responses through an intrinsic mechanism that is activated by metabotropic glutamate receptors (mGluR7).

Indexed as

cerebellumeyeblink conditioninglearningPurkinje cellsTiming

Identifiers

PMID26949723
PMCPMC4774525
OpenAlexW2270773227

What OpenQuestion holds

Textmetadata
LicenceTDM
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.