Back to Search Start Over

Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task

Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task

Authors :
Takafumi Minamimoto
Atsushi Fujimoto
Source :
Frontiers in Neuroscience, Vol 13 (2019), Frontiers in Neuroscience
Publication Year :
2019
Publisher :
Frontiers Media SA, 2019.

Abstract

Humans and animals show diverse preferences for risks ("trait-like" risk attitude) and shift their preference depending on the state or current needs ("state-dependent" risk attitude). For a better understanding of the neural mechanisms underlying risk-sensitive decisions, useful animal models have been required. Here we examined the risk attitude of three male monkeys in a single-option response task, in which an instrumental lever-release was required to obtain a chance of reward. In each trial, reward condition, either deterministic (100% of 1, 2, 3, and 4 drops of juice) or probabilistic (25, 50, 75, and 100% of 4-drop juice) was randomly selected and assigned by a unique visual cue, allowing the monkeys to evaluate the forthcoming reward. The subjective value of the reward was inferred from their performance. Model-based analysis incorporating known economic models revealed non-linear probability distortion in monkeys; unlike previous studies, they showed a simple convex or concave probability distortion curve. The direction of risk preference was consistent between early and late phases of the testing period, suggesting that our observation reflected the trait-like risk attitude of monkeys, at least under the current experimental setting. Regardless of the baseline risk preference, all monkeys showed an enhancement of risk preference in a session according to the satiation level (i.e., state-dependent risk attitude). Our results suggest that, without choice or cognitive demand, monkeys show naturalistic risk attitude - diverse and flexible like humans. Our novel approach may provide a useful animal model of risk-sensitive decisions, facilitating the investigation of the neural mechanisms of decision-making under risk.

Details

ISSN :
1662453X
Volume :
13
Database :
OpenAIRE
Journal :
Frontiers in Neuroscience
Accession number :
edsair.doi.dedup.....2c308280b89e2e64dc42b37bfd94b841
Full Text :
https://doi.org/10.3389/fnins.2019.00816