Evidence map›Paper›PMID 26112423›Full record

ArticleCerebellum (London, England)2016

Links Between Single-Trial Changes and Learning Rate in Eyelid Conditioning.

Andrei Khilkevich, Hunter E Halverson, Jose Ernesto Canton-Josh, Michael D Mauk

Abstract read
PubMed Publisher
In one paragraph

Article in Cerebellum (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Transitive inference after minimal training in rhesus macaques (Macaca mulatta).Journal of experimental psychology. Animal learning and cognition · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Movement Rate Is Encoded and Influenced by Widespread, Coherent Activity of Cerebellar Molecular Layer Interneurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  11. Adaptive Acceleration of Visually Evoked Smooth Eye Movements in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  12. 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

4 authors.

Andrei KhilkevichCenter for Learning and Memory, The University of Texas at Austin, 1 University Station C7000, Austin, TX, 78712-0805, USA.
Hunter E HalversonCenter for Learning and Memory, The University of Texas at Austin, 1 University Station C7000, Austin, TX, 78712-0805, USA.
Jose Ernesto Canton-JoshCenter for Learning and Memory, The University of Texas at Austin, 1 University Station C7000, Austin, TX, 78712-0805, USA.
Michael D MaukCenter for Learning and Memory, The University of Texas at Austin, 1 University Station C7000, Austin, TX, 78712-0805, USA. mauk@utexas.edu.

Funding

REVERSIBLE LESIONS--CEREBELLAR MECHANISMS MOTOR LEARNINGR01MH046904 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1997 to 2016
$5.5M
Forebrain-Cerebellum Interactions in Trace ConditioningR01MH074006 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 2005 to 2015
$3.3M
USING CLASSICAL CONDITIONING TO STUDY THE CEREBELLUMR29MH046904 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1992 to 1996
–
NIMH NIH HHS MH46904NIMH NIH HHS MH74006
6 · The paper itself

Abstract

The discovery of single-trial learning effects, where the presence or absence (or the number) of climbing fiber inputs produces measureable changes in Purkinje cell response and in behavior, represents a major breakthrough in cerebellar learning. Among other things, these observations provide strong links between climbing fiber-mediated plasticity and cerebellar learning. They also demonstrate that cerebellar learning is stochastic, with each instantiation of a movement producing a small increment or decrement in gain. The sum of the small changes give rise to the macroscopic properties of cerebellar learning. We used a relatively large data set from another example of cerebellar-dependent learning, classical conditioning of eyelid responses, to attempt a behavioral replication and extension of single-trial learning effects. As a normal part of training, stimulus-alone trials provide instances where the climbing fiber response would be omitted, similar to non-climbing-fiber trials (gain down) during smooth pursuit training. The consequences of the stimulus-alone trial on the amplitude and timing of the conditioned response on the following paired trials were examined. We find that the amplitude of the conditioned response during the trial after a stimulus-alone trial (no climbing fiber input) was measurably smaller than the amplitude on the previous trials, and this single-trial effect on amplitude is larger for longer interstimulus intervals. The magnitude of the single-trial effect parallels the rate of extinction at different interstimulus intervals supporting the previously observed link between single-trial effects and learning.

Indexed as

AnimalsBehavior, AnimalCerebellumConditioning, ClassicalConditioning, EyelidLearningMaleNerve FibersPurkinje CellsPursuit, SmoothRabbitsClimbing fiberLTDLTPStochastic learningTiming

Identifiers

What OpenQuestion holds

Textmetadata
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.