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The Contribution of Attentional Lapses to Individual Differences in Visual Working Memory Capacity

机译:注意失误对视觉工作记忆能力个体差异的贡献

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Attentional control and working memory capacity are important cognitive abilities that substantially vary between individuals. Although much is known about how attentional control and working memory capacity relate to each other and to constructs like fluid intelligence, little is known about how trial-by-trial fluctuations in attentional engagement impact trial-by-trial working memory performance. Here, we employ a novel whole-report memory task that allowed us to distinguish between varying levels of attentional engagement in humans performing a working memory task. By characterizing low-performance trials, we can distinguish between models in which working memory performance failures are caused by either (1) complete lapses of attention or (2) variations in attentional control. We found that performance failures increase with set-size and strongly predict working memory capacity. Performance variability was best modeled by an attentional control model of attention, not a lapse model. We examined neural signatures of performance failures by measuring EEG activity while participants performed the whole-report task. The number of items correctly recalled in the memory task was predicted by frontal theta power, with decreased frontal theta power associated with poor performance on the task. In addition, we found that poor performance was not explained by failures of sensory encoding; the P1/N1 response and ocular artifact rates were equivalent for high- and low-performance trials. In all, we propose that attentional lapses alone cannot explain individual differences in working memory performance. Instead, we find that graded fluctuations in attentional control better explain the trial-by-trial differences in working memory that we observe.
机译:注意控制和工作记忆能力是重要的认知能力,个体之间差异很大。尽管人们对注意力控制和工作记忆能力如何相互关联以及如何构建类似流体智能的知识知之甚少,但是关于注意力参与的逐项试验波动如何影响逐项试验工作记忆性能的知之甚少。在这里,我们采用了一种新颖的整体报告记忆任务,该任务使我们能够区分执行工作记忆任务的人的注意力参与水平不同。通过表征低性能试验,我们可以区分以下两种模型:工作记忆性能失败是由(1)完全失去注意力或(2)注意控制变化引起的。我们发现性能故障会随着设置的大小而增加,并强烈预测工作内存容量。最好通过注意力的注意力控制模型(而非失误模型)来模拟性能差异。我们通过测量参与者执行整个报告任务时的脑电活动来检查性能失败的神经信号。记忆任务中正确召回的项目数是由额叶theta功率预测的,额叶theta功率的降低与该任务的性能不佳相关。此外,我们发现感觉编码失败并不能解释性能差。 P1 / N1反应和眼部伪影发生率在高性能和低性能试验中相当。总之,我们认为仅注意失误不能解释工作记忆表现的个体差异。相反,我们发现注意控制中的分级波动可以更好地解释我们观察到的工作记忆的逐项试验差异。

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