基于人工神经网络模型的错误记忆过程描述

Xin Du
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引用次数: 1

摘要

错误记忆是我们日常生活中常见的现象。本文讨论了记忆形成的三个阶段(编码、巩固和检索)中错误记忆的形成情况。本文结合人工神经网络原理,以通俗易懂、科学的方式阐述了错误记忆的形成过程。本文首先介绍了人工神经网络的定义以及人工神经网络的一些基本概念。然后讨论了人工神经网络层与错误记忆形成三个阶段之间的相似性,并利用人工神经网络的图解模式解释了错误记忆在编码、巩固和检索阶段的出现过程。最后,我们通过连续再现实验来探讨记忆扭曲(错误记忆)的特征,发现记忆扭曲具有对称性、锐化性和同化性三个特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Illustration of the False Memory Process Based on The Artificial Neural Networks Model
False memory is a common phenomenon in our daily life. This article discussed the situation of forming false memory in the three stages (encoding, consolidation, and retrieval) of memory formation. By combining the principles of Artificial Neural Networks, this article illustrated the formation of false memory in a readable and scientific way. This article first introduced the definition of Artificial Neural Networks (ANNs) and some basic concepts of ANNs. Then discussed the similarities between the layers of ANNs and the three stages of false memory formation, and used the illustrating mode of Artificial Neural Networks to explain how false memory appeared in the encoding, consolidation, and retrieval stage. Finally, we used the serial reproduction experiment to explore the character of memory distortion (false memory) and found out that memory distortion has three characteristics: Symmetry, sharpening, and assimilation.
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