Department of Psychology, The Ohio State University, Columbus, OH, USA.
Department of Psychology, Stanford University, Stanford, CA, USA.
Cereb Cortex. 2019 Feb 1;29(2):732-750. doi: 10.1093/cercor/bhx355.
Intertemporal choice requires a dynamic interaction between valuation and deliberation processes. While evidence identifying candidate brain areas for each of these processes is well established, the precise mechanistic role carried out by each brain region is still debated. In this article, we present a computational model that clarifies the unique contribution of frontoparietal cortex regions to intertemporal decision making. The model we develop samples reward and delay information stochastically on a moment-by-moment basis. As preference for the choice alternatives evolves, dynamic inhibitory processes are executed by way of asymmetric lateral inhibition. We find that it is these lateral inhibition processes that best explain the contribution of frontoparietal regions to intertemporal decision making exhibited in our data.
跨期选择需要估值和审议过程之间的动态交互。虽然已经确定了每个过程的候选大脑区域的证据，但每个大脑区域执行的确切机制作用仍存在争议。在本文中，我们提出了一个计算模型，阐明了额顶叶皮层区域对跨期决策的独特贡献。我们开发的模型在逐点的基础上随机抽样奖励和延迟信息。随着对选择替代方案的偏好的发展，通过不对称的侧抑制来执行动态抑制过程。我们发现，正是这些侧抑制过程最好地解释了我们的数据中额顶叶区域对跨期决策的贡献。
