Yoshida Wako, Ishii Shin
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-0192, Japan.
Neuron. 2006 Jun 1;50(5):781-9. doi: 10.1016/j.neuron.2006.05.006.
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.
在面对不确定或不完整信息时做出最优决策是日常行为中常见的问题，但这种能力背后的神经过程仍知之甚少。一个典型的例子是导航，即受试者必须从未知位置寻找已知目标。在不确定条件下导航需要根据当前对位置的信念做出决策，并根据传入信息更新该信念。在此，我们在迷宫导航任务中使用功能磁共振成像来研究与不确定性解决相关的神经活动，受试者在做出连续决策以到达目标时会进行这种不确定性解决。我们表明，前额叶皮层的不同区域参与了特定的计算功能，这些功能由贝叶斯决策模型很好地描述。这允许进行高效的目标导向导航，并为人类决策提供了新的见解。
