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Reward-Predictive Value in Learning-Related Hippocampal Neural Activity

机译:学习相关海马神经活动中的奖励预测价值

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We use point process likelihood models to explain the spiking activity of individual hippocampal pyramidal neurons as a function of task-relevant covariates and their Temporal Difference (TD) reward-predictive value during reinforcement learning. Our results suggest that CA1 and CA3 neurons may signal information about the reward-predictive value of task-relevant signals pertinent to the acquisition of behavioral strategies that maximize reward, with more CA1 but not CA3 neurons doing so during novel versus familiar experiences.
机译:我们使用点过程似然模型来解释单个海马金字塔神经元的尖峰活动作为任务相关的协变量的函数及其在加固学习期间的奖励预测价值。我们的研究结果表明,CA1和CA3神经元可能与获取最大化奖励的行为策略的任务相关信号的奖励预测值的信息,以获得更多CA1,但在小说与熟悉的经历中这样做而不是CA3神经元。

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