DIPF | Leibniz Institute for Research and Information in Education, 60323 Frankfurt am Main, Germany.
Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA.
J Exp Child Psychol. 2023 Jul;231:105655. doi: 10.1016/j.jecp.2023.105655. Epub 2023 Feb 28.
Working memory (WM) precision, or the fidelity with which items can be remembered, is an important aspect of WM capacity that increases over childhood. Why individuals are more or less precise from moment to moment and why WM becomes more stable with age are not yet fully understood. Here, we examined the role of attentional allocation in visual WM precision in children aged 8 to 13 years and young adults aged 18 to 27 years, as measured by fluctuations in pupil dilation during stimulus encoding and maintenance. Using mixed models, we examined intraindividual links between change in pupil diameter and WM precision across trials and the role of developmental differences in these associations. Through probabilistic modeling of error distributions and the inclusion of a visuomotor control task, we isolated mnemonic precision from other cognitive processes. We found an age-related increase in mnemonic precision that was independent of guessing behavior, serial position effects, fatigue or loss of motivation across the experiment, and visuomotor processes. Trial-by-trial analyses showed that trials with smaller changes in pupil diameter during encoding and maintenance predicted more precise responses than trials with larger changes in pupil diameter within individuals. At encoding, this relationship was stronger for older participants. Furthermore, the pupil-performance coupling grew across the delay period-particularly or exclusively for adults. These results suggest a functional link between pupil fluctuations and WM precision that grows over development; visual details may be stored more faithfully when attention is allocated efficiently to a sequence of objects at encoding and throughout a delay period.
工作记忆(WM)精度,即对项目的记忆保真度,是 WM 能力的一个重要方面,它在儿童时期逐渐提高。为什么个体在不同时刻的精度会有所不同,以及为什么 WM 会随着年龄的增长变得更加稳定,这些问题尚未得到充分理解。在这里,我们通过在刺激编码和维持期间瞳孔扩张的波动来测量 8 至 13 岁儿童和 18 至 27 岁年轻成年人的视觉 WM 精度,研究了注意力分配在其中的作用。我们使用混合模型,考察了个体内试次间瞳孔直径变化与 WM 精度之间的联系,以及这些关联在发展过程中的差异作用。通过对误差分布的概率建模和包含视觉运动控制任务,我们将记忆精度与其他认知过程区分开来。我们发现,记忆精度随着年龄的增长而提高,这与猜测行为、序列位置效应、整个实验过程中的疲劳或动机丧失以及视觉运动过程无关。试次间分析表明,与个体内瞳孔直径变化较大的试次相比,编码和维持期间瞳孔直径变化较小的试次预测出更精确的反应。在编码阶段,这种关系在年龄较大的参与者中更强。此外,瞳孔表现耦合在延迟期间增加——特别是对于成年人而言。这些结果表明,瞳孔波动和 WM 精度之间存在功能联系,这种联系随着发展而增强;当注意力在编码时有效地分配给一系列物体并贯穿整个延迟期时,视觉细节可能会被更准确地存储。