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Neuroeconomics and the study of addiction

机译:神经经济学与成瘾研究

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We review the key findings in the application of neuroeconomics to the study of addiction. Although there are not "bright line" boundaries between neuroeconomics and other areas of behavioral science, neuroeconomics coheres around the topic of the neural representations of "Value" (synonymous with the "decision utility" of behavioral economics). Neuroeconomics parameterizes distinct features of Valuation, going beyond the general construct of "reward sensitivity" widely used in addiction research. We argue that its modeling refinements might facilitate the identification of neural substrates that contribute to addiction. We highlight two areas of neuroeconomics that have been particularly productive. The first is research on neural correlates of delay discounting (reduced Valuation of rewards as a function of their delay). The second is work that models how Value is learned as a function of "prediction-error" signaling. Although both areas are part of the neuroeconomic program, delay discounting research grows directly out of behavioral economics, whereas prediction-error work is grounded in models of learning. We also consider efforts to apply neuroeconomics to the study of self-control and discuss challenges for this area. We argue that neuroeconomic work has the potential to generate breakthrough research in addiction science.
机译:我们回顾了神经经济学在成瘾研究中的主要发现。尽管神经经济学与行为科学的其他领域之间没有“界线”界限,但神经经济学围绕着“价值”的神经表示主题(与行为经济学的“决策效用”同义)。神经经济学将评估的独特特征参数化,超越了成瘾研究中广泛使用的“奖励敏感性”的一般构造。我们认为,其建模改进可能有助于识别导致成瘾的神经基质。我们着重介绍神经经济学的两个领域,这些领域特别富有成效。首先是对延迟折扣的神经相关性的研究(减少的奖励价值是其延迟的函数)。第二项工作是对如何根据“预测错误”信令学习“价值”进行建模。尽管这两个领域都是神经经济计划的一部分,但延迟折扣研究直接来自行为经济学,而预测误差工作则基于学习模型。我们还考虑将神经经济学应用于自我控制研究的努力,并讨论该领域的挑战。我们认为,神经经济学工作有可能在成瘾科学领域产生突破性研究。

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