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Human memory retention and its application to language learning
Human memory retention and its application to language learning
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机译:人记忆保留及其在语言学习中的应用
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摘要
This invention deals with human memory retention and its application to language learning or any training process that requires memorization of the old information learned in the early time. A memory retention function with a form of R=A.t(d-D) is used, where R is the percentage (%) of memory retention after a time span t for the content learned earlier, and d is the fractal dimension of the active dendritic neurons in human brain cell, that participate in the learning process, and D (equal either 2 or 3) is a physical dimension. The implication of this human memory retention scheme is that by repeated reviewing, more dendritic neurons become activated (i.e., cross-linked with nearby neurons having certain degree of prior knowledge) resulting in a larger d. This invention proposes a method to estimate the fractal dimension d from the memory activities for each user in language learning process, which provides a way to predict when next memory rehearsal (repetition) is needed before the earlier learned-information are likely forgotten.
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机译:本发明涉及人类记忆的保持及其在语言学习或要求记忆早期学习的旧信息的任何训练过程中的应用。使用形式为R = At (dD) Sup>的内存保留函数,其中R是较早学习的内容的时间跨度t之后的内存保留百分比(%),而d是参与学习过程的人脑细胞中活动树突状神经元的分形维数,D(等于2或3)是物理维数。这种人类记忆保留方案的含义是,通过反复审查,更多的树突状神经元被激活(即与具有一定先验知识的附近神经元交联),从而导致更大的d。本发明提出了一种在语言学习过程中根据每个用户的记忆活动来估计分形维数d的方法,该方法提供了一种方法,可以预测何时可能需要忘记较早的学习信息之前何时进行下一次记忆演练(重复)。
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