Evidence map›Paper›PMID 30846930›Full record

ArticleFrontiers in neural circuits2019

The Functional Role of Striatal Cholinergic Interneurons in Reinforcement Learning From Computational Perspective.

Taegyo Kim, Robert A Capps, Khaldoun C Hamade, William H Barnett, Dmitrii I Todorov, Elizaveta M Latash, Sergey N Markin, Ilya A Rybak, Yaroslav I Molkov

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Dual cholinergic mechanisms for sculpting striatal dopamine in vivo.bioRxiv : the preprint server for biology · 2025
    Article
  3. WhenAPL bioengineering · 2025
    Review
  4. Review
  5. A mismatch between striatal cholinergic pauses and dopaminergic reward prediction errors.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Getting Excited About Learning.Function (Oxford, England) · 2021
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. 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

9 authors.

Taegyo KimDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States.
Robert A CappsNeuroscience Institute, Georgia State University, Atlanta, GA, United States.
Khaldoun C HamadeDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States.
William H BarnettDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States.
Dmitrii I TodorovDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States.
Elizaveta M LatashDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA, United States.
Sergey N MarkinDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States.
Ilya A RybakDepartment of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, United States.
Yaroslav I MolkovNeuroscience Institute, Georgia State University, Atlanta, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we explore the functional role of striatal cholinergic interneurons, hereinafter referred to as tonically active neurons (TANs), via computational modeling; specifically, we investigate the mechanistic relationship between TAN activity and dopamine variations and how changes in this relationship affect reinforcement learning in the striatum. TANs pause their tonic firing activity after excitatory stimuli from thalamic and cortical neurons in response to a sensory event or reward information. During the pause striatal dopamine concentration excursions are observed. However, functional interactions between the TAN pause and striatal dopamine release are poorly understood. Here we propose a TAN activity-dopamine relationship model and demonstrate that the TAN pause is likely a time window to gate phasic dopamine release and dopamine variations reciprocally modulate the TAN pause duration. Furthermore, this model is integrated into our previously published model of reward-based motor adaptation to demonstrate how phasic dopamine release is gated by the TAN pause to deliver reward information for reinforcement learning in a timely manner. We also show how TAN-dopamine interactions are affected by striatal dopamine deficiency to produce poor performance of motor adaptation.

Indexed as

Computer SimulationModels, NeurologicalReinforcement, PsychologyAnimalsCholinergic NeuronsCorpus StriatumDopamineHumansNeural PathwaysDopamineacetylcholinereinforcement learningstriatal cholinergic interneuronsstriatumtonically active neurons

Identifiers

PMID30846930
PMCPMC6393383

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.