scholarly journals Long-term memory guidance of visuospatial attention in a change-detection paradigm

2014 ◽  
Vol 5 ◽  
Author(s):  
Maya L. Rosen ◽  
Chantal E. Stern ◽  
David C. Somers
2018 ◽  
Vol 89 (4) ◽  
pp. 409-415
Author(s):  
Tomoe Masuoka ◽  
Megumi Nishiyama ◽  
Takafumi Terasawa

2021 ◽  
Author(s):  
Benjamin Goecke ◽  
Klaus Oberauer

In tests of working memory with verbal or spatial materials repeating the same memory sets across trials leads to improved memory performance. This well-established “Hebb repetition effect” could not be shown for visual materials. This absence of the Hebb effect can be explained in two ways: Either persons fail to acquire a long-term memory representation of the repeated memory sets, or they acquire such long-term memory representations, but fail to use them during the working memory task. In two experiments, (N1 = 18 and N2 = 30), we aimed to decide between these two possibilities by manipulating the long-term memory knowledge of some of the memory sets used in a change-detection task. Before the change-detection test, participants learned three arrays of colors to criterion. The subsequent change-detection test contained both previously learned and new color arrays. Change detection performance was better on previously learned compared to new arrays, showing that long-term memory is used in change detection.


Author(s):  
Benjamin Goecke ◽  
Klaus Oberauer

AbstractIn tests of working memory with verbal or spatial materials, repeating the same memory sets across trials leads to improved memory performance. This well-established “Hebb repetition effect” could not be shown for visual materials in previous research. The absence of the Hebb effect can be explained in two ways: Either persons fail to acquire a long-term memory representation of the repeated memory sets, or they acquire such long-term memory representations, but fail to use them during the working memory task. In two experiments (N1 = 18 and N2 = 30), we aimed to decide between these two possibilities by manipulating the long-term memory knowledge of some of the memory sets used in a change-detection task. Before the change-detection test, participants learned three arrays of colors to criterion. The subsequent change-detection test contained both previously learned and new color arrays. Change detection performance was better on previously learned compared with new arrays, showing that long-term memory is used in change detection.


2017 ◽  
Author(s):  
Katherine Wood ◽  
Daniel J. Simons

How can we reconcile remarkably precise long-term memory for thousands of images with failures to detect changes to similar images? We explored whether people can use detailed, long-term memory to improve change detection performance. Subjects studied a set of images of objects and then performed recognition and change detection tasks with those images. Recognition memory performance exceeded change detection performance, even when a single familiar object in the post-change display consistently indicated the change location. In fact, participants were no better when a familiar object predicted the change location than when the displays consisted of unfamiliar objects. When given an explicit strategy to search for a familiar object as a way to improve performance on the change detection task, they performed no better than in a six-alternative recognition memory task. Subjects only benefited from the presence of familiar objects in the change detection task when they had more time to view the pre-change array before it switched. Once the cost to using the change detection information decreased, subjects made use of it in conjunction with memory to boost performance on the familiar-item change detection task. This suggests that even useful information will go unused if it is sufficiently difficult to extract.


2017 ◽  
Vol 28 (8) ◽  
pp. 2935-2947 ◽  
Author(s):  
Maya L Rosen ◽  
Chantal E Stern ◽  
Kathryn J Devaney ◽  
David C Somers

2012 ◽  
Vol 12 (9) ◽  
pp. 851-851
Author(s):  
M. R. Beck ◽  
A. E. van Lamsweerde

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