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首页> 外文会议>Eighth Neural Computation and Psychology Workshop; 20030828-30; University of Kent(GB) >EFFECT OF THE LEARNING MATERIAL STRUCTURE ON RETROACTIVE AND PROACTIVE INTERFERENCE IN HUMANS: WHEN THE SELF-REFRESHING NEURAL NETWORK MECHANISM PROVIDES NEW INSIGHTS
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EFFECT OF THE LEARNING MATERIAL STRUCTURE ON RETROACTIVE AND PROACTIVE INTERFERENCE IN HUMANS: WHEN THE SELF-REFRESHING NEURAL NETWORK MECHANISM PROVIDES NEW INSIGHTS

机译：学习材料结构对人类的回馈和主动干扰的影响：自刷新神经网络机制提供新的见解时

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摘要

Following Mirman and Spivey's investigation, Musca, Rousset and Ans conducted a study on the influence of the nature of the to-be-learned material on retroactive interference (RI) in humans. More RI was found for unstructured than for structured material, a result opposed to that of Mirman and Spivey. This paper first presents two simulations. The first, using a three-layer backpropagation hetero-associator produced a pattern of RI results that mirrored qualitatively the structure effect on RI found in humans. However the level of RI was high. In the second simulation the Dual Reverberant memory Self-Refreshing neural network model (DRSR) of Ans and Rousset was used. As expected, the global level of RI was reduced and the structure effect on RI was still present. We further investigated the functioning of DRSR in this situation. A proactive interference (PI) was observed, and also a structure effect on PI. Furthermore, the structure effect on RI and the structure effect on PI were negatively correlated. This trade-off between structure effect on RI and structure effect on PI found in simulation points to an interesting potential phenomenon to be investigated in humans.
机译：在进行Mirman和Spivey的调查之后，Musca，Rousset和Ans对要学习的材料的性质对人类追溯性干扰（RI）的影响进行了研究。发现非结构化的RI比结构化的材料更多，与Mirman和Spivey的结果相反。本文首先介绍了两个仿真。首先，使用三层反向传播异质缔合剂产生了RI结果模式，该模式定性地反映了人类对RI的结构影响。但是RI水平很高。在第二个仿真中，使用了Ans和Rousset的双重混响记忆自刷新神经网络模型（DRSR）。不出所料，RI的整体水平降低了，并且对RI的结构效应仍然存在。我们在这种情况下进一步研究了DRSR的功能。观察到前摄干扰（PI），以及对PI的结构影响。此外，对RI的结构效应和对PI的结构效应负相关。在仿真中发现的对RI的结构效应和对PI的结构效应之间的这种权衡表明，有待人类研究的有趣的潜在现象。

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