scholarly journals The Short-Term Retention of Depth

Vision ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 59
Author(s):  
Adam Reeves ◽  
Jiehui Qian

We review research on the visual working memory for information portrayed by items arranged in depth (i.e., distance to the observer) within peri-personal space. Most items lose their metric depths within half a second, even though their identities and spatial positions are retained. The paradoxical loss of depth information may arise because visual working memory retains the depth of a single object for the purpose of actions such as pointing or grasping which usually apply to only one thing at a time.

1995 ◽  
Vol 15 (1-2) ◽  
pp. 122
Author(s):  
R. Hijman ◽  
H.E. Hulshoff Pol ◽  
W.F.C. Baaré ◽  
J. van der Linden ◽  
R.S. Kahn

2001 ◽  
Vol 24 (1) ◽  
pp. 139-141 ◽  
Author(s):  
Antonino Raffone ◽  
Gezinus Wolters ◽  
Jacob M. Murre

We suggest a neurophysiological account of the short-term memory capacity limit based on a model of visual working memory (Raffone & Wolters, in press). Simulations have revealed a critical capacity limit of about four independent patterns. The model mechanisms may be applicable to working memory in general and they allow a reinterpretation of some of the issues discussed by Cowan.


2017 ◽  
Vol 146 (11) ◽  
pp. 1551-1573 ◽  
Author(s):  
Timothy J. Ricker ◽  
Kyle O. Hardman

2017 ◽  
Author(s):  
Tal Yatziv ◽  
Yoav Kessler

Over the last couple of decades, a vast amount of research has been dedicated to understanding the nature and the architecture of visual short-term memory (VSTM), the mechanism by which currently relevant visual information is maintained. According to discrete-capacity models, VSTM is constrained by a limited number of discrete representations held simultaneously. In contrast, shared-resource models regard VSTM as limited in resources, which can be distributed flexibly between varying numbers of representations, and a new interference model posits that capacity is limited by interference among items. In this paper, we begin by reviewing benchmark findings regarding the debate over VSTM limitations, focusing on whether VSTM storage is all-or-none, and on whether objects’ complexity affects capacity. Afterwards, we put forward a hybrid framework of VSTM architecture, arguing that this system is composed of a two-level hierarchy of memory stores, each containing a different set of representations: (1) Perceptual Memory (PM), a resource-like level containing analog automatically-formed representations of visual stimuli in varying degrees of activation, and (2) visual Working Memory (WM), in which a subset of 3-4 items from PM are bound to conceptual representations and to their locations, thus conveying discrete (digital/symbolic) information which appears quantized. While PM has a large capacity and is relatively non-selective, visual WM is restricted in the number of items that can be maintained simultaneously and its content is regulated by a gating mechanism.


2020 ◽  
Vol 73 (11) ◽  
pp. 1949-1968
Author(s):  
Elena M Galeano Weber ◽  
Haley Keglovits ◽  
Arin Fisher ◽  
Silvia A Bunge

Mnemonic precision is an important aspect of visual working memory (WM). Here, we probed mechanisms that affect precision for spatial (size) and non-spatial (colour) features of an object, and whether these features are encoded and/or stored separately in WM. We probed precision at the feature-level—that is, whether different features of a single object are represented separately or together in WM—and the object-level—that is, whether different features across a set of sequentially presented objects are represented in the same or different WM stores. By manipulating whether stimuli were encoded by the left and/or right hemisphere, we gained further insights into how objects are represented in WM. At the feature-level, we tested whether recall fidelity for the two features of an object fluctuated in tandem from trial to trial. We observed no significant coupling under either central or lateralized encoding, supporting the claim of parallel feature channels at encoding. At the level of WM storage of a set of objects, we found asymmetric feature interference under central encoding, whereby an increase in colour load led to a decrease in size precision. When objects were encoded by a single hemisphere, however, we found largely independent feature stores. Precision for size was more resistant to interference from the size of another object under right-hemisphere encoding; by contrast, precision for colour did not differ across hemispheres, suggesting a more distributed WM store. These findings suggest that distinct features of a single object are represented separately but are then partially integrated during maintenance of a set of sequentially presented objects.


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