Department of Psychology, University of Cambridge, Downing St, Cambridge CB2 3EB, UK.
Cereb Cortex. 2018 Apr 1;28(4):1432-1438. doi: 10.1093/cercor/bhx351.
In 2004, two landmark studies described the discovery of brain imaging (functional magnetic resonance imaging and electroencephalography) signals that increase with the number of items held in visual working memory (WM). These studies claimed that the signals leveled off (plateaued) once the number of memoranda reached the capacity of WM, as estimated by the prevailing model of the time. However, alternative models were not considered, and changing concepts of WM in the more than a decade since these studies were published necessitate a re-evaluation of their findings; newer models that provide the most accurate account of behavioral data do not incorporate a fixed limit on the number of items stored. Furthermore, an important claim made about the original studies, that signals plateau at each individual's estimated capacity, has never been tested. Here, we pit the plateau model of signal strength against an alternative, saturation model, a biophysically plausible account in which signals increase continuously without plateau. We show that the saturation model provides a better description of the original data, challenging the assumption that imaging results provide evidence for a fixed item limit in WM.
2004 年,两项具有里程碑意义的研究描述了在视觉工作记忆(WM)中,与所记忆项目数量成正比的脑成像(功能磁共振成像和脑电图)信号的发现。这些研究声称,一旦所记忆的项目数量达到当时流行的模型所估计的 WM 容量,信号就会趋于平稳( plateaued )。然而,这些研究并没有考虑到替代模型,而且自这些研究发表以来,超过十年的时间里,WM 的概念发生了变化,这需要对其发现进行重新评估;提供最准确行为数据解释的更新模型并不包含存储项目数量的固定限制。此外,关于原始研究的一个重要说法是,信号在每个个体估计的容量处趋于平稳,但这个说法从未得到过验证。在这里,我们将信号强度的平稳模型与替代的饱和模型进行对比,饱和模型是一种具有生物学合理性的解释,即信号持续增加而不会趋于平稳。我们表明,饱和模型能够更好地描述原始数据,从而挑战了这样一种假设,即成像结果为 WM 中的固定项目限制提供了证据。