Resolution of uncertainty in prefrontal cortex
Resolution of uncertainty in prefrontal cortex
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DOI：
10.1016/j.neuron.2006.05.006
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发表时间：
2006-06-01
期刊：
影响因子：
16.2
通讯作者：
Ishii, Shin
中科院分区：
文献类型：
--
作者：
Yoshida, Wako;Ishii, Shin
在面对不确定或不完整的信息时做出最佳决策是日常行为中的一个常见问题，但这种能力背后的神经过程仍然知之甚少。一个典型的例子是导航，在这个例子中，一个主体必须从一个未知的位置搜索一个已知的目标。在不确定的条件下导航需要根据当前对位置的信念做出决定，并根据传入的信息更新信念。在这里，我们在迷宫导航任务中使用功能性磁共振成像来研究与不确定性解决相关的神经活动，因为受试者为达到目标而做出了连续的决定。我们发现前额叶皮层的不同区域参与了贝叶斯决策模型所描述的特定计算功能。这允许高效的目标导向导航，并为人类决策提供新的见解。
Making optimal decisions in the face of uncertain or incomplete information arises as a common problem in everyday behavior, but the neural processes underlying this ability remain poorly understood. A typical case is navigation, in which a subject has to search for a known goal from an unknown location. Navigating under uncertain conditions requires making decisions on the basis of the current belief about location and updating that belief based on incoming information. Here, we use functional magnetic resonance imaging during a maze navigation task to study neural activity relating to the resolution of uncertainty as subjects make sequential decisions to reach a goal. We show that distinct regions of prefrontal cortex are engaged in specific computational functions that are well described by a Bayesian model of decision making. This permits efficient goal-oriented navigation and provides new insights into decision making by humans.