The Formation of Specific and Gist Associative Episodic Memory Representations During Encoding: Effects of Rate of Presentation

被引:7
|
作者
Greene, Nathaniel R. [1 ]
Naveh-Benjamin, Moshe [1 ]
机构
[1] Univ Missouri, Dept Psychol Sci, 9J McAlester Hall, Columbia, MO 65211 USA
关键词
associative memory; presentation duration; fuzzy-trace theory; processing speed; FUZZY-TRACE THEORY; RECOGNITION MEMORY; RECOLLECTION REJECTION; PRESENTATION TIME; MODELS; VERBATIM; COMPREHENSION; FAMILIARITY; PSYTOOLKIT; RETRIEVAL;
D O I
10.1037/xlm0001173
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Assessing the time course under which underlying memory representations can be formed is an important question for understanding memory. Several studies assessing item memory have shown that gist representations of items are laid out more rapidly than verbatim representations. However, for associations among items/components, which form the core of episodic memory, it is unclear whether gist representations form more quickly than, or at least in parallel with, verbatim representations, as fuzzy-trace theory predicts, or whether gist is extracted more slowly from inferring the meaning of verbatim representations, as in gist macroprocessor theories. To test these contrasting possibilities, we used a novel associative recognition task in which participants studied face-scene pairs for .75, 1.5, or 4 seconds each, and were later tested on their ability to discriminate intact pairs from foils which varied in how similar they were to originally studied pairs. Across 2 experiments, we found that verbatim memory for associations, measured using a multinomial-processing-tree model, improved from .75 to 1.5 to 4 seconds of presentation time. Paralleling these effects of encoding time on verbatim memory, for gist memory, there were improvements from .75 seconds to 1.5 seconds in both experiment 1 and 2, while improvements from 1.5 seconds to 4 seconds were only evident when the retention interval between study and test was increased (experiment 2). These results provide strong support for the parallel processing framework of fuzzy-trace theory over the slow gist extraction framework of an alternative gist macroprocessor theory.
引用
收藏
页码:1099 / 1118
页数:20
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