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即将做出决策的行为和神经预测因素。

Behavioral and neural predictors of upcoming decisions.

作者信息

Cohen M X, Ranganath C

机构信息

University of Bonn, Bonn, Germany.

出版信息

Cogn Affect Behav Neurosci. 2005 Jun;5(2):117-26. doi: 10.3758/cabn.5.2.117.

Abstract

Although it is widely known that brain regions such as the prefrontal cortex, the amygdala, and the ventral striatum play large roles in decision making, their precise contributions remain unclear. Here, we used functional magnetic resonance imaging and principles of reinforcement learning theory to investigate the relationship between current reinforcements and future decisions. In the experiment, subjects chose between high-risk (i.e., low probability of a large monetary reward) and low-risk (high probability of a small reward) decisions. For each subject, we estimated value functions that represented the degree to which reinforcements affected the value of decision options on the subsequent trial. Individual differences in value functions predicted not only trial-to-trial behavioral strategies, such as choosing high-risk decisions following high-risk rewards, but also the relationship between activity in prefrontal and subcortical regions during one trial and the decision made in the subsequent trial. These findings provide a novel link between behavior and neural activity by demonstrating that value functions are manifested both in adjustments in behavioral strategies and in the neural activity that accompanies those adjustments.

摘要

尽管人们普遍知道前额叶皮层、杏仁核和腹侧纹状体等脑区在决策中发挥着重要作用,但其确切贡献仍不清楚。在这里,我们使用功能磁共振成像和强化学习理论原理来研究当前强化与未来决策之间的关系。在实验中,受试者在高风险(即获得大额金钱奖励的概率低)和低风险(获得小额奖励的概率高)决策之间进行选择。对于每个受试者,我们估计了价值函数,该函数表示强化对后续试验中决策选项价值的影响程度。价值函数的个体差异不仅预测了逐次试验的行为策略,如在获得高风险奖励后选择高风险决策,还预测了一次试验中前额叶和皮层下区域的活动与后续试验中做出的决策之间的关系。这些发现通过证明价值函数既体现在行为策略的调整中,也体现在伴随这些调整的神经活动中,为行为和神经活动之间提供了一种新的联系。

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