Memory updating in dreams.

Erin J Wamsley, Tempest Trost, Matthew Tucker
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Abstract

Robert Stickgold's research was among the earliest to rigorously quantify the effect of learning on dream content. As a result, we learned that dreaming is influenced by the activation of newly formed memory traces in the sleeping brain. Exactly how this happens is an ongoing area of investigation. Here, we test the hypothesis that participants are especially likely to dream of recent experiences, which overlap with well-established semantic networks. We created an artificial situation in which participants encountered new information about a person with which they have extensive past experience-a favorite celebrity. We tracked the effect of novel information about a favorite celebrity on participants' dream content across 3 consecutive nights and queried participants about other recent and remote memory sources of their dreams. While the celebrity manipulation failed to affect dream content, this dataset provides rich descriptive information about how recent and remote memory fragments are incorporated into dreams, and how multiple memory sources combine to create bizarre, imaginative scenarios. We discuss these observations in light of the proposed "memory updating" function of sleep-dependent memory consolidation, as well as Stickgold and Zadra's NEXTUP (Network Exploration to Understand Possibilities) model of dreaming. This paper is part of the Festschrift in honor of Dr Robert Stickgold.

梦中的记忆更新。
罗伯特·斯蒂克戈尔德(Robert Stickgold)的研究是最早严格量化学习对梦境内容影响的研究之一。因此,我们了解到,做梦受到睡眠中大脑中新形成的记忆痕迹的激活的影响。这究竟是如何发生的是一个正在调查的领域。在这里,我们测试了一个假设,即参与者特别有可能梦见最近的经历,这些经历与已建立的语义网络重叠。我们人为地创造了一种情境,让参与者接触到关于一个人的新信息,这个人与他们有着丰富的过去经验——一个最喜欢的名人。我们连续3个晚上跟踪了关于最喜欢的名人的新信息对参与者梦境内容的影响,并询问了参与者关于他们梦境的其他近期和远程记忆来源。虽然名人操纵没有影响梦的内容,但这个数据集提供了丰富的描述性信息,说明最近和遥远的记忆片段是如何被纳入梦的,以及多种记忆来源是如何结合起来创造奇异的、富有想象力的场景的。我们根据睡眠依赖性记忆巩固的“记忆更新”功能,以及Stickgold和Zadra的NEXTUP(网络探索理解可能性)模型来讨论这些观察结果。这篇论文是纪念Robert Stickgold博士的纪念活动的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.10
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