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是什么使得工作记忆广度对高级认知具有如此强的预测性?

What makes working memory spans so predictive of high-level cognition?

作者信息

Lépine Raphaëlle, Barrouillet Pierre, Camos Valérie

机构信息

Université de Bourgogne, Dijon, France.

出版信息

Psychon Bull Rev. 2005 Feb;12(1):165-70. doi: 10.3758/bf03196363.

Abstract

Working memory (WM) span tasks involving a complex activity performed concurrently with item retention have proven to be good predictors of high-level cognitive performance. The present study demonstrates that replacing these complex self-paced activities with simpler but computer-paced processes, such as reading successive letters, yields more predictive WM span measures. This finding suggests that WM span tasks evaluate a fundamental capacity that underpins complex as well as elementary cognitive processes. Moreover, the higher predictive power of computer-paced WM span tasks suggests that strategic factors do not contribute to the relationship between WM spans and high-level cognition.

摘要

涉及与项目记忆同时执行复杂活动的工作记忆(WM)广度任务已被证明是高级认知表现的良好预测指标。本研究表明,用更简单但由计算机控制节奏的过程(如阅读连续字母)取代这些复杂的自我节奏活动,会产生更具预测性的WM广度测量值。这一发现表明,WM广度任务评估的是一种支撑复杂和基本认知过程的基本能力。此外,由计算机控制节奏的WM广度任务具有更高的预测能力,这表明策略因素对WM广度与高级认知之间的关系没有影响。

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