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工作记忆容量建模:神奇数字是四、七,还是取决于你所计数的内容?

Modelling Working Memory Capacity: Is the Magical Number Four, Seven, or Does it Depend on What You Are Counting?

作者信息

Morra Sergio, Patella Paola, Muscella Lorenzo

机构信息

Universitàdi Genova, Italy.

I.I.T. -Center for Neuroscience and Cognitive Systems, Italy.

出版信息

J Cogn. 2024 Jul 18;7(1):60. doi: 10.5334/joc.387. eCollection 2024.

Abstract

Limited attentional capacity is essential to working memory. How its limit should be assessed is a debated issue. Five experiments compare Cowan's 4-units and Pascual-Leone's 7-units models of limited working memory capacity, with presentation time and attention to operative schemes as potential explanations of this discrepancy. Experiments 1a-1c used the Compound Stimuli Visual Information (CSVI) task, with long versus brief presentation. Capacity was estimated with the Bose-Einstein model, assuming a different number of attending acts in each condition. Participants' estimates in both conditions were highly correlated and the means were not different, indicating that the same capacity is assessed in both conditions. Experiments 2 and 3 used the 5000-msec CSVI, and the Visual Array Task (VAT) in two conditions (5000- vs. 120-msec presentation). Capacity in the VAT was estimated with Morey's Bayesian method. Participants' estimates in both VAT conditions were correlated, but the mean was higher with long presentation, suggesting that the long condition benefits from recoding or chunking. The estimate in the CSVI correlated with the short VAT and (to a lesser degree in Exp.2) with the long VAT. The mean estimate of in the CSVI was one unit more than in the short VAT. We conclude that the CSVI and the short VAT tap the same capacity, one unit of which in the short VAT is allocated to an operative scheme; we discuss how Cowan's and Pascual-Leone's views on limited capacity can be reconciled.

摘要

有限的注意力容量对工作记忆至关重要。如何评估其限度是一个存在争议的问题。五项实验比较了考恩的4单元和帕斯夸尔 - 莱昂内的7单元有限工作记忆容量模型,并将呈现时间和对操作方案的关注作为这种差异的潜在解释。实验1a - 1c使用复合刺激视觉信息(CSVI)任务,呈现时间有长有短。容量通过玻色 - 爱因斯坦模型进行估计,假设在每种情况下有不同数量的注意力行为。两种情况下参与者的估计高度相关且均值无差异,表明两种情况下评估的是相同的容量。实验2和3在两种条件下(5000毫秒与120毫秒呈现)使用了5000毫秒的CSVI和视觉阵列任务(VAT)。VAT中的容量通过莫雷的贝叶斯方法进行估计。VAT两种条件下参与者的估计相关,但长呈现时均值更高,这表明长呈现条件受益于重新编码或组块。CSVI中的估计与短VAT相关(在实验2中程度稍低),也与长VAT相关。CSVI中的平均估计比短VAT多一个单位。我们得出结论,CSVI和短VAT挖掘的是相同的容量,短VAT中的一个单位分配给了一个操作方案;我们讨论了考恩和帕斯夸尔 - 莱昂内关于有限容量的观点如何能够协调一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b3/11259112/9fec893e038d/joc-7-1-387-g1.jpg

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