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Investigating the Formation and Consolidation of Incidentally Learned Trust

机译:调查偶然学习信任的形成和整合

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People make inferences about the trustworthiness of others based on their observed gaze behavior. Faces that consistently look toward a target location are rated as more trustworthy than those that look away from the target. Representations of trust are important for future interactions; yet little is known about how they are consolidated in long-term memory. Sleep facilitates memory consolidation for incidentally learned information and may therefore support the retention of trust representations. We investigated the consolidation of trust inferences across periods of sleep or wakefulness. In addition, we employed a memory cueing procedure (targeted memory reactivation [TMR]) in a bid to strengthen certain trust memories over others. We observed no difference in the retention of trust inferences following delays of sleep or wakefulness, and there was no effect of TMR in either condition. Interestingly, trust inferences remained stable 1 week after learning, irrespective of the initial postlearning delay. A second experiment showed that this implicit learning occurs despite participants' being unable to explicitly recall the gaze behavior of specific faces immediately after encoding. Together, these results suggest that gist-like, social inferences are formed at the time of learning without retaining the original episodic memory and thus do not benefit from offline consolidation through replay. We discuss our findings in the context of a novel framework whereby trust judgments reflect an efficient, powerful, and adaptable storage device for social information.
机译:人们根据观察到的凝视行为对他人的可信度进行推论。始终如一地朝着目标地点的面孔被评为比远离目标的人更值得信赖。信托的代表对于未来的互动是重要的;然而,众所周知,他们如何在长期记忆中合并。睡眠促进内存整合,偶然学习信息,因此可能支持保留信任陈述。我们调查了跨越睡眠或清醒时期的信任推论的整合。此外,我们在出价中使用了一个记忆提示程序(有针对性的内存再激活[TMR]),以加强对他人的某些信任记忆。在睡眠或清醒后,我们观察到避免延迟延迟的信任推论没有差异,并且在任何一种情况下都没有TMR的影响。有趣的是,学习后,信任推论仍然保持稳定,无论初步的初步延迟如何。第二个实验表明,尽管参与者无法明确地在编码后立即明确地调用特定面孔的凝视行为,但这种隐式学习也会发生。这些结果表明,在学习时形成了GIST,社会推论,而不保留原始的插曲记忆,因此不要通过重放来获益离线整合。我们在一个小说框架的背景下讨论了我们的调查结果,即信任判断反映了用于社交信息的高效,强大和适应性的存储设备。

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