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神经分化轨迹改善了交错学习和检索练习后对竞争性记忆的回忆。

Neural Differentiation Tracks Improved Recall of Competing Memories Following Interleaved Study and Retrieval Practice.

作者信息

Hulbert J C, Norman K A

机构信息

Princeton Neuroscience Institute.

Princeton Neuroscience Institute Department of Psychology, Princeton University, Princeton, NJ 08544, USA.

出版信息

Cereb Cortex. 2015 Oct;25(10):3994-4008. doi: 10.1093/cercor/bhu284. Epub 2014 Dec 4.

Abstract

Selective retrieval of overlapping memories can generate competition. How does the brain adaptively resolve this competition? One possibility is that competing memories are inhibited; in support of this view, numerous studies have found that selective retrieval leads to forgetting of memories that are related to the just-retrieved memory. However, this retrieval-induced forgetting (RIF) effect can be eliminated or even reversed if participants are given opportunities to restudy the materials between retrieval attempts. Here, we outline an explanation for such a reversal, rooted in a neural network model of RIF that predicts representational differentiation when restudy is interleaved with selective retrieval. To test this hypothesis, we measured changes in pattern similarity of the BOLD fMRI signal elicited by related memories after undergoing interleaved competitive retrieval and restudy. Reduced pattern similarity within the hippocampus positively correlated with retrieval-induced facilitation of competing memories. This result is consistent with an adaptive differentiation process that allows individuals to learn to distinguish between once-confusable memories.

摘要

重叠记忆的选择性提取会引发竞争。大脑如何适应性地解决这种竞争呢?一种可能性是相互竞争的记忆会受到抑制;支持这一观点的是,大量研究发现选择性提取会导致与刚提取的记忆相关的记忆被遗忘。然而,如果在提取尝试之间给予参与者重新学习材料的机会,这种提取诱发遗忘(RIF)效应可以被消除甚至逆转。在此,我们概述了对这种逆转的一种解释,其基于RIF的神经网络模型,该模型预测当重新学习与选择性提取交错进行时会出现表征分化。为了验证这一假设,我们测量了在经历交错竞争提取和重新学习后,相关记忆引发的BOLD功能磁共振成像信号的模式相似性变化。海马体内模式相似性的降低与提取诱发的对竞争记忆的促进呈正相关。这一结果与一个适应性分化过程相一致,该过程使个体能够学会区分曾经容易混淆的记忆。

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