The structure of individual differences in procedural working memory: Comparing task switching and stimulus response rule information load

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-13 DOI:10.1016/j.intell.2024.101817
Dror Garbi , Nachshon Meiran
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Abstract

Working memory (WM) serves not just for remembering facts (“declarative WM”) but also for controlling action and thought (“procedural WM”, pWM) by holding and manipulating task rules and task control parameters such as goals. Yet, the structure of individual differences in pWM is underexplored. The present work compared between two highly similar (in the number of stimulus response rules, stimuli, responses, and scoring method) pWM challenges: Rule WM (rWM) - loading WM with novel arbitrary stimulus response rules, and Task switching between familiar rules. A series of confirmatory bi-factor models fitted to results from two separate highly variable samples (N = 544, 520) support the existence of a common (to Switching and rWM) ability as well as the distinction between rWM and Switching. Latent regression models in which correlated latent variables of Switching, Speed and rWM predicted Reasoning and Anti-saccade performance indicate a different pattern of variance sharing for switching and rWM: Specific rWM and the rWM-Speed variance overlap predicted Reasoning, whereas specific Switch did not. Switch was predictive of Anti-saccade and Reasoning only through its overlap with the rWM (for Reasoning) and with both Speed and rWM (for both outcomes). Together, these results support the conclusion that the ability to meet a switching challenge and the ability to meet a challenge of having many rules to remember (rWM) constitute partly separable sources of individual differences.

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程序性工作记忆的个体差异结构:比较任务转换和刺激反应规则信息负荷
工作记忆(WM)不仅用于记忆事实("陈述性工作记忆"),还通过保持和操纵任务规则和任务控制参数(如目标)来控制行动和思维("程序性工作记忆",pWM)。然而,人们对 pWM 的个体差异结构还缺乏研究。本研究比较了两种高度相似(在刺激反应规则、刺激物、反应和评分方法的数量上)的 pWM 挑战:规则 WM(rWM)--用新的任意刺激反应规则加载 WM,以及在熟悉的规则之间进行任务切换。根据两个高度可变样本(N = 544、520)的结果建立的一系列确认性双因素模型证明,存在一种共同的(切换和规则记忆)能力,以及规则记忆和切换之间的区别。通过切换、速度和 rWM 的相关潜变量预测推理和反斜视表现的潜回归模型表明,切换和 rWM 的方差共享模式不同:特定的 rWM 和 rWM-速度方差重叠预测推理,而特定的切换则不预测推理。只有通过与 rWM 的重叠(对于推理)以及与速度和 rWM 的重叠(对于这两种结果),Switch 才能预测反犹豫和推理。总之,这些结果支持这样的结论,即应对转换挑战的能力和应对有许多规则需要记忆的挑战的能力(rWM)构成了部分可分离的个体差异来源。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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