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
Scientific Reports. 2019-05-01; 9(6770):
DOI: 10.1038/s41598-019-43245-z.

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https://www.nature.com/articles/s41598-019-43245-z#Bib1

Cinotti F(1), Fresno V(2)(3), Aklil N(1), Coutureau E(2)(3), Girard B(1), Marchand AR(2)(3), Khamassi M(4).

Author information:
(1)Institut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, F-75005, Paris, France.
(2)CNRS, Institut de Neurosciences Cognitives et Intégratives d’Aquitaine (INCIA, UMR 5287), Bordeaux, France.
(3)Université de Bordeaux, INCIA, Bordeaux, France.
(4)Institut des Systèmes Intelligents et de Robotique, Sorbonne Université, CNRS, F-75005, Paris, France. .

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.

DOI: 10.1038/s41598-019-43245-z
PMCID: PMC6494917
PMID: 31043685

Auteurs Bordeaux Neurocampus