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中文摘要
翻译
这个项目调查了人类学会做出正确决定的最重要的方式之一:通过观察他人。项目1研究的是我们如何评价社会和非社会刺激(社会奖励加工),而项目2研究的是我们如何从他人那里学习奖励(观察学习)。在项目1中研究的决策值和经验值的计算是否也在我们观察其他人时起作用?如果是这样的话,它们会招募相同的大脑结构吗?四个具体目标系统地研究了观察学习背后的机制如何与从直接经验中学习背后的机制进行比较。第一个目标是研究一种结构,该结构被认为是在驱动学习的多巴胺能神经元、腹侧纹状体和猴子的记录中编码奖励预测错误。第二个目标将这些研究扩展到人类,使用来自颅内记录的单单元和LFP数据,以及功能磁共振成像,并专注于多巴胺投射的目标结构:杏仁核和vmPFC。第三个目标是,我们观察的对象究竟会有什么不同:这个人是否有能力,他们是朋友还是陌生人;这个Aim观察腹侧纹状体、杏仁核和腹内侧前额皮质的这种调节。第四个目标探讨目标1和目标2中获得的fMRI数据与核心3中评估的心理变量之间可能存在的个体差异。
英文摘要
This Project investigates one of the most important ways in which humans learn to make sound decisions: through observing other people. Whereas Project 1 investigated how we value social and nonsocial stimuli (social reward processing), this Project 2 investigates how we learn from other people about rewards (observational learning). Do the same computations of decision values and experienced values that were investigated under Project 1 also come into play when we watch others? If so, do they recruit the same brain structures? Four Specific Aims systematically investigate how the mechanisms behind observational learning might contrast with the much better studied mechanisms behind learning from direct experience. The first Aim focuses on a structure thought to encode reward prediction errors in dopaminergic neurons that drive learning, the ventral striatum, and recordings in monkeys. The second Aim extends these studies to humans, using single-unit and LFP data from intracranial recordings, together with fMRI and focuses on the target structures of dopamine projections: amygdala and vmPFC. The third Aim asks what difference it might make exactly who we are observing: whether the person is competent or not, whether they are a friend or a stranger; this Aim looks at such modulation in the ventral striatum, the amygdala, and the ventromedial prefrontal cortex. The fourth Aim explores possible individual differences between the fMRI data obtained under Aims 1 and 2, and the psychological variables assessed under Core 3.
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Probing the neural computations underlying goal-directed decision-making in humans with single-neuron recordings
Determining the explanatory utility of computational reinforcement-learning theories of goal-directed and habitual control at behavioral and neural levels
Determining the explanatory utility of computational reinforcement-learning theories of goal-directed and habitual control at behavioral and neural levels
Determining the explanatory utility of computational reinforcement-learning theories of goal-directed and habitual control at behavioral and neural levels