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使用记忆激活捕获(MAC)程序来研究假设生成的时间动态。

Using the memory activation capture (MAC) procedure to investigate the temporal dynamics of hypothesis generation.

作者信息

Lange Nicholas D, Buttaccio Daniel R, Davelaar Eddy J, Thomas Rick P

机构信息

Birkbeck, University of London, London, UK,

出版信息

Mem Cognit. 2014 Feb;42(2):264-74. doi: 10.3758/s13421-013-0354-1.

DOI:10.3758/s13421-013-0354-1
PMID:23996809
Abstract

Research investigating top-down capture has demonstrated a coupling of working memory content with attention and eye movements. By capitalizing on this relationship, we have developed a novel methodology, called the memory activation capture (MAC) procedure, for measuring the dynamics of working memory content supporting complex cognitive tasks (e.g., decision making, problem solving). The MAC procedure employs briefly presented visual arrays containing task-relevant information at critical points in a task. By observing which items are preferentially fixated, we gain a measure of working memory content as the task evolves through time. The efficacy of the MAC procedure was demonstrated in a dynamic hypothesis generation task in which some of its advantages over existing methods for measuring changes in the contents of working memory over time are highlighted. In two experiments, the MAC procedure was able to detect the hypothesis that was retrieved and placed into working memory. Moreover, the results from Experiment 2 suggest a two-stage process following hypothesis retrieval, whereby the hypothesis undergoes a brief period of heightened activation before entering a lower activation state in which it is maintained for output. The results of both experiments are of additional general interest, as they represent the first demonstrations of top-down capture driven by participant-established WM content retrieved from long-term memory.

摘要

对自上而下捕获的研究表明,工作记忆内容与注意力和眼动之间存在耦合关系。利用这种关系,我们开发了一种名为记忆激活捕获(MAC)程序的新方法,用于测量支持复杂认知任务(如决策、解决问题)的工作记忆内容的动态变化。MAC程序在任务的关键节点使用短暂呈现的包含任务相关信息的视觉阵列。通过观察哪些项目被优先注视,我们可以在任务随时间发展的过程中获得对工作记忆内容的一种度量。MAC程序的有效性在一个动态假设生成任务中得到了证明,其中突出了它相对于现有测量工作记忆内容随时间变化的方法的一些优势。在两个实验中,MAC程序能够检测到被检索并放入工作记忆中的假设。此外,实验2的结果表明,在假设检索之后存在一个两阶段过程,即假设在进入较低激活状态并在其中保持以供输出之前,会经历一段短暂的激活增强期。这两个实验的结果还有其他普遍意义,因为它们首次展示了由从长期记忆中检索出的参与者建立的工作记忆内容驱动的自上而下捕获。

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引用本文的文献

1
Using a model of hypothesis generation to predict eye movements in a visual search task.使用假设生成模型预测视觉搜索任务中的眼动。
Mem Cognit. 2015 Feb;43(2):247-65. doi: 10.3758/s13421-014-0463-5.

本文引用的文献

1
Catching a glimpse of working memory: top-down capture as a tool for measuring the content of the mind.洞察工作记忆:自上而下的捕捉作为一种测量心理内容的工具。
Atten Percept Psychophys. 2012 Nov;74(8):1562-7. doi: 10.3758/s13414-012-0378-9.
2
Temporal dynamics of hypothesis generation: the influences of data serial order, data consistency, and elicitation timing.假设生成的时间动态:数据序列顺序、数据一致性和引出时机的影响。
Front Psychol. 2012 Jun 29;3:215. doi: 10.3389/fpsyg.2012.00215. eCollection 2012.
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Memory indexing: a novel method for tracing memory processes in complex cognitive tasks.
记忆索引:一种在复杂认知任务中追踪记忆过程的新方法。
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Do the contents of visual working memory automatically influence attentional selection during visual search?视觉工作记忆的内容在视觉搜索过程中会自动影响注意力的选择吗?
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