Evidence map›Paper›PMID 31043685›Full record

ArticleScientific reports2019

Dopamine blockade impairs the exploration-exploitation trade-off in rats.

François Cinotti, Virginie Fresno, Nassim Aklil, Etienne Coutureau, Benoît Girard, Alain R Marchand, Mehdi Khamassi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  12. Dopamine and Norepinephrine Differentially Mediate the Exploration-Exploitation Tradeoff.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  13. Article
  14. Exploration-exploitation model of moth-inspired olfactory navigation.Journal of the Royal Society, Interface · 2024
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  20. Reinforcement learning deficits exhibited by postnatal PCP-treated rats enable deep neural network classification.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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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

7 authors.

François CinottiInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, F-75005, Paris, France.
Virginie FresnoCNRS, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine (INCIA, UMR 5287), Bordeaux, France.
Nassim AklilInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, F-75005, Paris, France.
Etienne CoutureauCNRS, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine (INCIA, UMR 5287), Bordeaux, France.
Benoît GirardInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, F-75005, Paris, France.
Alain R MarchandCNRS, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine (INCIA, UMR 5287), Bordeaux, France.ORCID http://orcid.org/0000-0002-0231-5562
Mehdi KhamassiInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, F-75005, Paris, France. mehdi.khamassi@upmc.fr.ORCID http://orcid.org/0000-0002-2515-1046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a volatile environment where rewards are uncertain, successful performance requires a delicate balance between exploitation of the best option and exploration of alternative choices. It has theoretically been proposed that dopamine contributes to the control of this exploration-exploitation trade-off, specifically that the higher the level of tonic dopamine, the more exploitation is favored. We demonstrate here that there is a formal relationship between the rescaling of dopamine positive reward prediction errors and the exploration-exploitation trade-off in simple non-stationary multi-armed bandit tasks. We further show in rats performing such a task that systemically antagonizing dopamine receptors greatly increases the number of random choices without affecting learning capacities. Simulations and comparison of a set of different computational models (an extended Q-learning model, a directed exploration model, and a meta-learning model) fitted on each individual confirm that, independently of the model, decreasing dopaminergic activity does not affect learning rate but is equivalent to an increase in random exploration rate. This study shows that dopamine could adapt the exploration-exploitation trade-off in decision-making when facing changing environmental contingencies.

Indexed as

Decision MakingModels, TheoreticalRewardAnimalsDopamineDopamine AntagonistsExploratory BehaviorMaleProbability LearningRatsRats, Long-EvansDopamineDopamine Antagonists

Identifiers

PMID31043685
PMCPMC6494917

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.