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.

Details

Title
Dopamine blockade impairs the exploration-exploitation trade-off in rats
Author
Cinotti François 1 ; Fresno Virginie 2 ; Aklil Nassim 3 ; Coutureau Etienne 2 ; Girard Benoît 3 ; Marchand, Alain R 2   VIAFID ORCID Logo  ; Khamassi Mehdi 3   VIAFID ORCID Logo 

 Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique, Paris, France 
 CNRS, Institut de Neurosciences Cognitives et Intégratives d’Aquitaine (INCIA, UMR 5287), Bordeaux, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282); Université de Bordeaux, INCIA, Bordeaux, France (GRID:grid.462004.4) (ISNI:0000 0004 0383 7404) 
 Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique, Paris, France (GRID:grid.462004.4) 
Publication year
2019
Publication date
2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2218803283
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.