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Low Cognitive Impulsivity Is Associated with Better Gain and Loss Learning in a Probabilistic Decision-Making Task

机译:低认知冲动与概率决策任务中更好的获利和损失学习有关

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Many advances have been made over the last decades in describing, on the one hand, the link between reward-based learning and decision-making, and on the other hand, the link between impulsivity and decision-making. However, the association between reward-based learning and impulsivity remains poorly understood. In this study, we evaluated the association between individual differences in loss-minimizing and gain-maximizing behavior in a learning-based probabilistic decision-making task and individual differences in cognitive impulsivity. We found that low cognitive impulsivity was associated both with a better performance minimizing losses and maximizing gains during the task. These associations remained significant after controlling for mathematical skills and gender as potential confounders. We discuss potential mechanisms through which cognitive impulsivity might interact with reward-based learning and decision-making.
机译:在过去的几十年中,在描述基于奖励的学习与决策之间的联系,另一方面,在冲动性与决策之间的联系方面取得了许多进步。但是,基于奖励的学习与冲动之间的关联仍然知之甚少。在这项研究中,我们评估了在基于学习的概率决策任务中,最小化和最大收益行为中的个体差异与认知冲动中的个体差异之间的关联。我们发现低的认知冲动性与更好的性能相关联,在任务过程中将损失最小化和收益最大化。在控制数学技能和性别作为潜在的混杂因素之后,这些联系仍然很重要。我们讨论了认知冲动可能与基于奖励的学习和决策相互作用的潜在机制。

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