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Correlative Comparison of Visual Working Memory Paradigms and Associated Models Publisher Pubmed



Hojjati F1 ; Motahharynia A1, 2 ; Adibi A1 ; Adibi I1, 3 ; Sanayei M4
Authors
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Authors Affiliations
  1. 1. Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Regenerative Medicine Research Center (RMRC), Department of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, 1956836484, Iran

Source: Scientific Reports Published:2024


Abstract

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. © The Author(s) 2024.