@article{oai:repo.qst.go.jp:00076595,
 author = {Fujimoto, Atsushi and Minamimoto, Takafumi and Fujimoto, Atsushi and Minamimoto, Takafumi},
 journal = {Frontiers in neuroscience},
 month = {Aug},
 note = {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.},
 title = {Trait and State-Dependent Risk Attitude of Monkeys Measured in a Single-Option Response Task},
 volume = {13},
 year = {2019}
}