Center for Neuroengineering, University of Minnesota.
Princeton Neuroscience Institute, Princeton University.
Behav Neurosci. 2021 Apr;135(2):192-201. doi: 10.1037/bne0000448.
Much of traditional neuroeconomics proceeds from the hypothesis that value is reified in the brain, that is, that there are neurons or brain regions whose responses serve the discrete purpose of encoding value. This hypothesis is supported by the finding that the activity of many neurons covaries with subjective value as estimated in specific tasks, and has led to the idea that the primary function of the orbitofrontal cortex is to compute and signal economic value. Here we consider an alternative: That economic value, in the cardinal, common-currency sense, is not represented in the brain and used for choice by default. This idea is motivated by consideration of the economic concept of value, which places important epistemic constraints on our ability to identify its neural basis. It is also motivated by the behavioral economics literature, especially work on heuristics, which proposes value-free process models for much if not all of choice. Finally, it is buoyed by recent neural and behavioral findings regarding how animals and humans learn to choose between options. In light of our hypothesis, we critically reevaluate putative neural evidence for the representation of value and explore an alternative: direct learning of action policies. We delineate how this alternative can provide a robust account of behavior that concords with existing empirical data. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
传统神经经济学的很大一部分是基于这样一种假设,即价值在大脑中具体化,也就是说,存在一些神经元或脑区,它们的反应专门用于编码价值。这一假设得到了许多神经元的活动与特定任务中估计的主观价值相关的发现的支持,并导致了这样一种观点,即眶额皮层的主要功能是计算和信号经济价值。在这里,我们考虑另一种可能性:即基数、通用货币意义上的经济价值不在大脑中表示,也不是默认用于选择的。这个想法的动机是考虑经济价值的概念,它对我们识别其神经基础的能力施加了重要的认识论限制。它也受到行为经济学文献的启发,特别是启发式的工作,它为选择的大部分(如果不是全部)提供了无价值的过程模型。最后,最近关于动物和人类如何学会在选项之间进行选择的神经和行为发现也支持了这一观点。鉴于我们的假设,我们批判性地重新评估了价值表示的假定神经证据,并探讨了另一种可能性:直接学习行动策略。我们阐述了这种替代方案如何为与现有经验数据一致的行为提供稳健的解释。