Evidence map›Paper›PMID 29854943›Full record

ArticleScience advances2018

A cerebellar adaptation to uncertain inputs.

Andrei Khilkevich, Jose Canton-Josh, Evan DeLord, Michael D Mauk

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Intrinsic excitement in cerebellar nuclei neurons during learning.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. 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, Austin, TX 78712, USA.ORCID 0000-0002-1876-4928
Jose Canton-JoshCenter for Learning and Memory, The University of Texas at Austin, Austin, TX 78712, USA.
Evan DeLordCenter for Learning and Memory, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-9229-447X
Michael D MaukCenter for Learning and Memory, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-8208-1873

Funding

REVERSIBLE LESIONS--CEREBELLAR MECHANISMS MOTOR LEARNINGR01MH046904 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MAUK, MICHAEL D · 1997 to 2016
$5.5M
Cerebellar processing of noisy inputsR01NS098308 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI MAUK, MICHAEL D · 2017 to 2020
$1.3M
NIMH NIH HHS R01 MH046904NINDS NIH HHS R01 NS098308
6 · The paper itself

Abstract

Noise and variability are inherent and unavoidable features of neural processing. Despite this physiological challenge, brain systems function well, suggesting the existence of adaptations that cope with noise. We report a novel adaptation that the cerebellum implements to maintain correct responses in the face of ambiguous inputs. We found that under these conditions, the cerebellum used a probabilistic binary choice: Although the probability of behavioral response gradually increased or decreased depending on the degree of similarity between current and trained inputs, the size of response remained constant. That way the cerebellum kept responses adaptive to trained input corrupted by noise while minimizing false responses to novel stimuli. Recordings and analysis of Purkinje cells activity showed that the binary choice is made in the cerebellar cortex. Results from large-scale simulation suggest that internal feedback from cerebellar nucleus back to cerebellar cortex plays a critical role in implementation of binary choice.

Indexed as

Adaptation, PhysiologicalModels, NeurologicalAnimalsBehavior, AnimalCerebellumConditioning, EyelidElectric StimulationNerve FibersRabbitsROC Curve

Identifiers

PMID29854943
PMCPMC5976265

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.