A computational role for dopamine delivery in human decision-making
A computational role for dopamine delivery in human decision-making
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DOI：
10.1162/089892998563022
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发表时间：
1998-09-01
影响因子：
3.2
通讯作者：
Montague, PR
中科院分区：
文献类型：
--
作者：
Egelman, DM;Person, C;Montague, PR
最近的研究表明，多巴胺在靶结构中的传递波动代表了对未来事件的评估，可用于指导学习和决策。为了研究这种解释的行为后果，我们给66名人类受试者和一个基于中脑多巴胺系统预测模型的网络提供了简单的决策任务。人类被试在选择分配和商议时间特征上表现出与网络行为相似的行为。人类和模型表现之间的协议表明，人类决策策略的偏见和波动的多巴胺输送之间存在直接关系。我们还表明，该模型提供了一个新的解释赤字时，多巴胺水平增加或减少，通过疾病或药物干预的结果。这里提出的自下而上的方法也表明，各种行为策略可能是由相对简单的神经机制在不同的行为环境中的表达而产生的。
Recent work suggests that fluctuations in dopamine delivery at target structures represent an evaluation of future events that can be used to direct learning and decision-making. To examine the behavioral consequences of this interpretation, we gave simple decision-making tasks to 66 human subjects and to a network based on a predictive model of mesencephalic dopamine systems. The human subjects displayed behavior similar to the network behavior in terms of choice allocation and the character of deliberation times. The agreement between human and model performances suggests a direct relationship between biases in human decision strategies and fluctuating dopamine delivery. We also show that the model offers a new interpretation of deficits that result when dopamine levels are increased or decreased through disease or pharmacological interventions. The bottom-up approach presented here also suggests that a variety of behavioral strategies may result from the expression of relatively simple neural mechanisms in different behavioral contexts.