Evidence map›Paper›PMID 33258769›Full record

ArticleeLife2020

Reinforcement regulates timing variability in thalamus.

Jing Wang, Eghbal Hosseini, Nicolas Meirhaeghe, Adam Akkad, Mehrdad Jazayeri

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Rodents monitor their error in self-generated duration on a single trial basis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Review
  8. A neural network model for timing control with reinforcement.Frontiers in computational neuroscience · 2022
    Article
  9. Article
  10. The Central Thalamus: Gatekeeper or Processing Hub?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  11. Awareness of errors and feedback in human time estimation.Learning & memory (Cold Spring Harbor, N.Y.) · 2021
    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

5 authors at 2 institutions in 1 country.

Jing WangDepartment of Bioengineering, University of Missouri, Columbia, United States.ORCID 0000-0002-4761-6748
Eghbal HosseiniMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-0088-9765
Nicolas MeirhaegheHarvard-MIT Division of Health Sciences and Technology, Cambridge, United States.ORCID 0000-0002-3785-0696
Adam AkkadMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.
Mehrdad JazayeriMcGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-9764-6961
McGovern Institute for Brain Research · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Neural mechanisms of timing in the oculomotor systemR01NS078127 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAZAYERI, MEHRDAD · 2014 to 2018
$1.7M
NINDS NIH HHS NS078127NINDS NIH HHS R01 NS078127Simons Foundation 325542Simons Foundation 542993SPI
6 · The paper itself

Abstract

Learning reduces variability but variability can facilitate learning. This paradoxical relationship has made it challenging to tease apart sources of variability that degrade performance from those that improve it. We tackled this question in a context-dependent timing task requiring humans and monkeys to flexibly produce different time intervals with different effectors. We identified two opposing factors contributing to timing variability: slow memory fluctuation that degrades performance and reward-dependent exploratory behavior that improves performance. Signatures of these opposing factors were evident across populations of neurons in the dorsomedial frontal cortex (DMFC), DMFC-projecting neurons in the ventrolateral thalamus, and putative target of DMFC in the caudate. However, only in the thalamus were the performance-optimizing regulation of variability aligned to the slow performance-degrading memory fluctuations. These findings reveal how variability caused by exploratory behavior might help to mitigate other undesirable sources of variability and highlight a potential role for thalamocortical projections in this process.

Indexed as

AdolescentAdultAgedAnimalsBehaviorBrain MappingCuesFemaleFrontal LobeHumansLearningMacaca mulattaMaleMiddle AgedModels, NeurologicalMotor Activitybehavioral variabilityhumanneurosciencereinforcement learningrhesus macaqueThalamustiming

Identifiers

PMID33258769
PMCPMC7707818
OpenAlexW3106842093

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.