Reward prediction based on stimulus categorization in primate lateral prefrontal cortex
Reward prediction based on stimulus categorization in primate lateral prefrontal cortex
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DOI：
10.1038/nn.2128
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发表时间：
2008-06
影响因子：
25
通讯作者：
Xiaochuan Pan;K. Sawa;I. Tsuda;M. Tsukada;M. Sakagami
中科院分区：
文献类型：
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作者：
Xiaochuan Pan;K. Sawa;I. Tsuda;M. Tsukada;M. Sakagami
为了适应多变或陌生的环境，动物必须发展出目标导向的行为策略，以迎接新的挑战。本研究采用非对称奖赏时间表的序贯配对联想任务，探讨了前额叶神经元如何整合多个已获得的联想来预测奖赏。两种类型的奖励相关的神经元中观察到的外侧前额叶皮层：一种类型的预测奖励独立的物理特性的视觉刺激和其他编码的奖励值特定于一类的刺激所定义的任务要求。后一种类型的神经元能够根据尚未与奖励相关联的刺激来预测奖励，前提是来自同一类别的另一种刺激与奖励配对。结果表明，前额叶神经元可以代表奖励信息的基础上的类别，并传播此信息的类别成员没有直接与任何奖励的经验。
To adapt to changeable or unfamiliar environments, it is important that animals develop strategies for goal-directed behaviors that meet the new challenges. We used a sequential paired-association task with asymmetric reward schedule to investigate how prefrontal neurons integrate multiple already-acquired associations to predict reward. Two types of reward-related neurons were observed in the lateral prefrontal cortex: one type predicted reward independent of physical properties of visual stimuli and the other encoded the reward value specific to a category of stimuli defined by the task requirements. Neurons of the latter type were able to predict reward on the basis of stimuli that had not yet been associated with reward, provided that another stimulus from the same category was paired with reward. The results suggest that prefrontal neurons can represent reward information on the basis of category and propagate this information to category members that have not been linked directly with any experience of reward.