Processing and Storage in Visuo-Spatial Working Memory: A Time-Based Resource Sharing Account

2007 ◽  
Author(s):  
Evie Vergauwe ◽  
Pierre Barrouillet ◽  
Valerie Camos



2004 ◽  
Author(s):  
Donna M. Bayliss ◽  
Christopher Jarrold ◽  
Steven Roodenrys


2001 ◽  
Vol 54 (1) ◽  
pp. 31-48 ◽  
Author(s):  
Simon C. Duff ◽  
Robert H. Logie


1986 ◽  
Vol 38 (2) ◽  
pp. 229-247 ◽  
Author(s):  
Robert H. Logie

This paper reports four experiments designed to develop a simple technique for the study of visuo-spatial processing within the working memory framework (Baddeley and Hitch, 1974). Experiment 1 involved the matching of successively presented random matrix patterns, as a secondary visual suppression task. This was coupled with rote rehearsal or a visual imagery mnemonic for learning lists of concrete words presented auditorily. Although memory performance with matching dropped overall, the visual mnemonic was differentially affected. Experiment 2 removed the matching decision, with visual presentation of unattended patterns. There was no overall effect of the unattended material, but use of the visual mnemonic was significantly affected. Experiment 3 replicated this result with simpler plain coloured squares as the unattended material. In Experiment 4, for one group, the unattended material consisted of line drawings of common objects. For a second group, the lists of words for recall were presented visually, with or without unattended speech. The results suggested that unattended pictures disrupt use of a visual mnemonic, while unattended speech disrupts rote rehearsal. These results suggest that unattended visual material has privileged access to the mechanism(s) involved in short-term visuo-spatial processing and storage. They also suggest that use of a concurrent visual matching task or of unattended visual material may provide tractable techniques for investigating this aspect of cognitive function within the context of working memory.



1986 ◽  
Vol 30 (13) ◽  
pp. 1273-1277 ◽  
Author(s):  
Marilyn L. Turner ◽  
Randall W. Engle

Recent researchers have attempted to correlate measures of working memory (WM) with measures of higher level cognitive skills and abilities focusing on the functions of this limited capacity system, i.e., processing and storage. Relationships between three span measures of the functional model of WM capacity and two measures of reading comprehension were investigated. The magnitude of the correlations found between reading comprehension and the two spans embedded in reading processing tasks was similar to that of the correlation found between a third span measure embedded in a quantitative task with reading comprehension. These results indicated that these span measures of WM capacity were independent of the nature of the concurrent processing task.



2020 ◽  
pp. 85-115
Author(s):  
Pierre Barrouillet ◽  
Valérie Camos

The time-based resource-sharing model considers working memory as the workspace in which mental representations are built, maintained, and transformed for completing goal-oriented tasks. Its main component is made of an episodic buffer and a procedural system that form an executive loop in which processing and storage share domain-general attentional resources on a temporal basis. Because working memory representations decay with time when attention is diverted, the cognitive load of a given activity is the proportion of time during which it occupies attention and prevents it from counteracting this decay through attentional refreshing. Consequently, recall in working memory tasks is an inverse function of the cognitive load of concurrent processing. Besides this system, an independent domain-specific maintenance system exists for verbal, but not visuospatial, information. Within this framework, working memory development mainly results from increasing processing speed that affects both the duration of the distraction of attention by concurrent tasks and refreshing efficiency.



2010 ◽  
Author(s):  
Klaus Oberauer ◽  
Simon Farrell ◽  
Christopher Jarrold ◽  
Martin Greaves ◽  
Kaz Pasiecznik


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