ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

心理学报 ›› 2008, Vol. 40 ›› Issue (06): 662-670.

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字频和预存表征对相继记忆效应的影响

刘聪慧;郭春彦;丁锦红;俞国良   

  1. 首都师范大学教科院心理系,北京 100037
  • 收稿日期:2007-08-06 修回日期:1900-01-01 发布日期:2008-06-30 出版日期:2008-06-30
  • 通讯作者: 郭春彦

Effects of Character Frequency and Preexisting Representation on the Subsequent Memory Effect

LIU Cong-Hui; GUO Chun-Yan;DING Jin-Hong;YU Guo-Liang   

  1. Department of Psychology, Capital Normal University, Beijing, 100037, China
  • Received:2007-08-06 Revised:1900-01-01 Online:2008-06-30 Published:2008-06-30
  • Contact: GUO Chun-Yan

摘要: 采用学习-再认研究范式和事件相关电位方法,研究高频字、低频字、假字和非字的相继记忆效应(Dm效应)。18名大学生为被试,根据其测验结果将刺激分成记住和未记住两类,对相应编码过程的ERPs进行分析。结果表明:(1)真字中发现了相继记忆效应,低频字比高频字的相继记忆效应更大,随后正确再认的ERPs 比不能正确再认的ERPs有更大的晚正成份;(2)非字中的相继记忆效应比真字中的效应更大,出现的时间也较早(140ms~200ms),而假字中没有发现显著的相继记忆效应。这些结果表明,字频是影响相继记忆效应的重要因素,高、低频字的相继记忆效应可能存在不同的神经机制,而预存表征不是相继记忆效应出现与否的前提条件

关键词: 事件相关电位(ERPs), 相继记忆效应, 预存表征, 字频

Abstract: The late positive component (LPC) difference based on later memory performance is called the Dm effect. Many studies have shown that the LPC for items recognized in a subsequent memory test was more positive than for those that were not recognized. This effect was moderated by many factors, such as material type, encoding or orientating tasks, testing format, and study-test relationship. Most of the existing studies found that the low-frequency words showed a greater Dm effect than did the high-frequency words. However, some researchers did not find a significant Dm effect for high-frequency words. In addition, there is no consistency in whether or not access to preexisting representation is a prerequisite for the emergence of the Dm effect. In order to test the hypothesis that the Dm effect depends on accessing preexisting representation and to further explore the role of word frequency in the Dm effect, the present ERP study was designed to investigate the temporal and spatial distributions of the Dm effects for high/low-frequency characters, pseudocharacters, and noncharacters.
Eighteen healthy undergraduates participated in this study. There were seven blocks in the experiment including three real character blocks and four pseudo and noncharacter blocks. In each real character block, 118 characters (8 filler characters, 12 targets, and 98 study characters) were selected and presented on the screen during the study phase, after which the participants had to perform a test with 98 other additional characters. In each pseudo/noncharacter block, 78 stimuli (7 filler characters, 9 targets, and 62 study pseudo/noncharacter) were presented on the screen during the study phase, which was followed by a test phase with 62 additional pseudo/noncharacters. In each block, the stimuli were randomly presented on the screen for 200 ms. The duration between the onset of a stimulus and the very beginning of the next adjacent trial was randomized between 1400 ms to 1800 ms. The task was to determine whether or not each stimulus presented on the screen was a real character. An electroencephalography (EEG) was recorded continuously using an electro-cap with 119 locations (the extension of the International 10–20 System).
The results were analyzed using a five-way repeated-measures ANOVA for five time windows: 140~240 ms, 440~500 ms, 500~650 ms, 650~720 ms, and 720~800 ms. The five factors were hemisphere (left, right), location (frontal, temporal, central, parietal, and occipital), electrode, stimuli type (high- and low-frequency character, pseudocharacter, and noncharacter), and recognition (remember and forget). In addition, a three-way repeated-measures ANOVA was used for the central and occipital areas. The three factors were electrode, stimuli type (high- and low-frequency character, pseudocharacter, and noncharacter), and recognition (remember and forget). The ANOVA results indicated that the temporal and spatial distributions of the Dm effects for low-frequency characters were longer and wider than those for high-frequency characters. Moreover, the Dm effect was generally greater for noncharacters than it was for high/low-frequency characters. However, the Dm effect was not observed for pseudocharacters in any interval.
First, a significant character frequency effect was found in the Dm effect, suggesting that less commonly used characters are processed in a manner that facilitates their subsequent recognition. There might be different neural mechanisms between subsequent memory effects of high- and low-frequency characters. Second, the emergence of a subsequent memory effect may not depend on accessing preexisting representation

Key words: event-related potentials, subsequent memory effect, pre-existing representation, character frequency

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