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Reward-predictive value in learning-related hippocampal neural activity

机译:奖励预测价值与学习相关的海马神经活动

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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个体海马锥体神经元的突刺活动作为与任务相关的协变量的函数,以及它们在强化学习过程中的时差(TD)奖励预测值。我们的研究结果表明,CA1和CA3神经元可能会发出与任务相关信号的奖励预测价值有关的信息,这些信息与获得最大回报的行为策略有关,在新颖或熟悉的经历中,有更多的CA1但不是CA3神经元这样做。

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