The Mouse Gambling Task: Assessing Individual Decision-making Strategies in Mice - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Bio-protocol Année : 2020

The Mouse Gambling Task: Assessing Individual Decision-making Strategies in Mice

Résumé

Decision-making is a complex cognitive process which consists of choosing one option among several alternatives. In humans, this process is featured in the Iowa gambling task (IGT), a decision-making task that mimics real life situations by reproducing uncertain conditions based on probabilistic rewards or penalties (see Background). Several authors wanted to adapt the IGT in rodents with subtle differences in protocols that match various aspects of the human task. Here we propose, for the first time in mice, a protocol that contains the most important characteristics of the IGT: 4 different options, choices based on 4 ambiguous outcomes with immediate and long term rewards, a total of 100 trials, no learning of the contingency before the task, and presence of both a certain reward and a probable penalty. During this task, mice have to choose between options more or less advantageous in the short and long term by developing a decision-making strategy that differs between individuals. Therefore, the strength of this protocol is that it is one of the first to enable the study of decision-making in a complex situation, and demonstrates inter-individual differences regarding decision-making strategies in mice.
Fichier principal
Vignette du fichier
BioProtoc-10-01-3479.pdf (748.68 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03295417 , version 1 (14-11-2022)

Licence

Paternité

Identifiants

Citer

Elsa Pittaras, Arnaud Rabat, Sylvie Granon. The Mouse Gambling Task: Assessing Individual Decision-making Strategies in Mice. Bio-protocol , 2020, 10 (1), pp.e3479. ⟨10.21769/BioProtoc.3479⟩. ⟨hal-03295417⟩
41 Consultations
32 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More