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首页> 外文期刊>Neural processing letters >Words-In-Sequence Memory Formed by Eye Movement Sequences During Reading: A Network Model Based on Theta Phase Coding
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Words-In-Sequence Memory Formed by Eye Movement Sequences During Reading: A Network Model Based on Theta Phase Coding

机译:阅读过程中眼动序列形成的顺序单词记忆:基于Theta相位编码的网络模型

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摘要

Revealing the neuronal mechanisms enabling the hippocampus to maintain episodic memory (i.e., memory for personal events) is a fundamental issue for our understanding of human intelligence. A temporal compression mechanism based on theta phase coding has been shown to be essential for the encoding of episodic memory occurring on a behavioral timescale (>a few seconds) and capable of operating sequential and spatial memory. However, episodic memory models should be developed to handle more semantic-rich contents. Here, memory from the reading of a passage of literature was evaluated using a network model based on theta phase coding. Two types of input were simultaneously applied: word inputs, defined by the eye movement sequence obtained during the reading, with each fixated word encoded by a vector computed from a statistical language model with a large text corpus; and sequence inputs, defined by random activations and representing a gradually changing input pattern, independent of the eye movement. The results successfully demonstrated a memory generated by the word sequence from the 6-min reading session, and the memory network for the sequence input was shown to be essential for the retrieval. This result was characterized by a words-in-sequence structure in the network formed by theta phase coding, of which, the unidirectional connections among sequence units dominantly evoked the sequential activation, which further conveyed word unit activations through the unidirectional connections from the sequence to the word units. This suggests a general role for theta phase coding in the formation of episodic memory.
机译:揭示使海马能够维持情景记忆(即对个人事件的记忆)的神经元机制是我们对人类智力的理解的基本问题。已经证明基于theta相位编码的时间压缩机制对于在行为时间尺度(>几秒钟)上发生的情景记忆的编码至关重要,并且能够操作顺序和空间记忆。但是,应该开发情景记忆模型来处理更多语义丰富的内容。在此,使用基于θ相位编码的网络模型评估了阅读文献的记忆。同时应用了两种类型的输入:单词输入,该单词输入由阅读过程中获得的眼睛移动顺序定义,每个固定单词均由具有大文本语料的统计语言模型计算出的矢量编码;以及序列输入,由随机激活定义,代表与眼睛运动无关的逐渐变化的输入模式。结果成功地证明了在6分钟的阅读过程中单词序列所产生的记忆,并且显示了序列输入的记忆网络对于检索至关重要。该结果的特征在于,由theta相位编码形成的网络中的按顺序排列的单词结构,其中,序列单元之间的单向连接主要引起顺序激活,这进一步通过从序列到点的单向连接传达了单词单元的激活。单词单位。这表明θ相编码在情节性记忆形成中的一般作用。

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