Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Regenerative Medicine Research Center (RMRC), Department of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Sci Rep. 2024 Sep 6;14(1):20852. doi: 10.1038/s41598-024-72035-5.
When studying the working memory (WM), the 'slot model' and the 'resource model' are two main theories used to describe how information retention occurs. The slot model shows that WM capacity consists of a certain number of predefined slots available for information storage. This theory explains that there is a binary condition during information recall in which information is either wholly maintained within a slot or forgotten. The resource model has a resolution-based approach, suggesting a continuous resource able to be distributed among a number of items in WM capacity. Recently hybrid models have been introduced, suggesting that WM may not strictly conform to only one model. Accordingly, to understand the relationship between two of the most widely used paradigms in WM evaluation, we implemented a correlational assessment in two different psychophysics tasks, an analog recall paradigm with sequential bar presentation and a delayed match-to-sample (DMS) task with checkerboard stimuli. Our study revealed significant correlations between WM performance in the DMS task and recall error, precision, and sources of errors in the sequential paradigm. Overall, the findings emphasize the importance of considering both tasks in understanding WM processes, as they shed light on the debate between the slot and resource models by revealing overlapping elements in both theories and the tasks used to evaluate WM capacity.
当研究工作记忆 (WM) 时,“插槽模型”和“资源模型”是用于描述信息保留如何发生的两个主要理论。插槽模型表明,WM 容量由一定数量的预定义插槽组成,可用于信息存储。该理论解释了在信息回忆过程中有一个二进制条件,其中信息要么完全保留在一个插槽中,要么被遗忘。资源模型采用基于分辨率的方法,表明存在一种连续的资源,能够在 WM 容量中的多个项目之间分配。最近引入了混合模型,表明 WM 可能不完全符合单一模型。因此,为了了解 WM 评估中两个最广泛使用的范式之间的关系,我们在两个不同的心理物理学任务中实施了相关评估,一个是具有顺序条形呈现的模拟回忆范式,另一个是具有棋盘刺激的延迟匹配样本 (DMS) 任务。我们的研究表明,DMS 任务中的 WM 表现与序列范式中的回忆错误、精度和错误来源之间存在显著相关性。总体而言,这些发现强调了在理解 WM 过程中同时考虑这两个任务的重要性,因为它们通过揭示两个理论和用于评估 WM 容量的任务之间的重叠元素,为插槽和资源模型之间的争论提供了重要线索。