scholarly journals Visual-object working memory affects aesthetic judgments

2013 ◽  
Vol 13 (9) ◽  
pp. 1308-1308
Author(s):  
A. Sherman ◽  
S. Y. Lim ◽  
M. Grabowecky ◽  
S. Suzuki
2003 ◽  
Vol 59 (2-3) ◽  
pp. 261-268 ◽  
Author(s):  
Sohee Park ◽  
Jörg Püschel ◽  
Barbara H Sauter ◽  
Markus Rentsch ◽  
Daniel Hell

Perception ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 966-975 ◽  
Author(s):  
Shinyoung Jung ◽  
Yosun Yoon ◽  
Suk Won Han

People’s attention is well attracted to stimuli matching their working memory. This memory-driven attentional capture has been demonstrated in simplified and controlled laboratory settings. The present study investigated whether working memory contents capture attention in a setting that closely resembles real-world environment. In the experiment, participants performed a task of searching for a target object in real-world indoor scenes, while maintaining a visual object in working memory. To create a setting similar to real-world environment, images taken from IKEA®’s online catalogue were used. The results showed that participants’ attention was biased toward a working memory-matching object, interfering with the target search. This was so even when participants did not expect that a memory-matching stimulus would appear in the search array. These results suggest that working memory can bias attention in complex, natural environment and this memory-driven attentional capture in real-world setting takes place in an automatic manner.


2015 ◽  
Vol 23 (3) ◽  
pp. 263-281 ◽  
Author(s):  
Christina A. Read ◽  
Jeffrey M. Rogers ◽  
Peter H. Wilson

2013 ◽  
Author(s):  
Richard Allen ◽  
Graham Hitch ◽  
Alan Baddeley ◽  
Vivian Hu
Keyword(s):  

2021 ◽  
Vol 34 (1) ◽  
pp. e100338
Author(s):  
Yi Liu ◽  
Taiyong Bi ◽  
Bei Zhang ◽  
Qijie Kuang ◽  
Haijing Li ◽  
...  

BackgroundWorking memory (WM) deficit is considered a core feature and cognitive biomarker in patients with schizophrenia. Several studies have reported prominent object WM deficits in patients with schizophrenia, suggesting that visual WM in these patients extends to non-spatial domains. However, whether non-spatial WM is similarly affected remains unclear.AimThis study primarily aimed to identify the processing of visual object WM in patients with first-episode schizophrenia.MethodsThe study included 36 patients with first-episode schizophrenia and 35 healthy controls. Visual object WM capacity, including face and house WM capacity, was assessed by means of delayed matching-to-sample visual WM tasks, in which participants must distribute memory so that they can discriminate a target sample. We specifically examined their anhedonia experience by the Temporal Experience of Pleasure Scale and the Snaith-Hamilton Pleasure Scale. Cognitive performance was measured by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS).ResultsBoth face and house WM capacity was significantly impaired in patients with schizophrenia. For both tasks, the performance of all the subjects was worse under the high-load condition than under the low-load condition. We found that WM capacity was highly positively correlated with the performance on RBANS total scores (r=−0.528, p=0.005), RBANS delayed memory scores (r=−0.470, p=0.013), RBANS attention scores (r=−0.584, p=0.001), RBANS language scores (r=−0.448, p=0.019), Trail-Making Test: Part A raw scores (r=0.465, p=0.015) and simple IQ total scores (r=−0.538, p=0.005), and correlated with scores of the vocabulary test (r=−0.490, p=0.011) and scores of the Block Diagram Test (r=−0.426, p=0.027) in schizophrenia. No significant correlations were observed between WM capacity and Positive and Negative Syndrome Scale symptoms.ConclusionsOur research found that visual object WM capacity is dramatically impaired in patients with schizophrenia and is strongly correlated with other measures of cognition, suggesting a mechanism that is critical in explaining a portion of the broad cognitive deficits observed in schizophrenia.


1992 ◽  
Vol 4 (2) ◽  
pp. 270-286 ◽  
Author(s):  
Gary Bradski ◽  
Gail A. Carpenter ◽  
Stephen Grossberg

Working memory neural networks, called Sustained Temporal Order REcurrent (STORE) models, encode the invariant temporal order of sequential events in short-term memory (STM). Inputs to the networks may be presented with widely differing growth rates, amplitudes, durations, and interstimulus intervals without altering the stored STM representation. The STORE temporal order code is designed to enable groupings of the stored events to be stably learned and remembered in real time, even as new events perturb the system. Such invariance and stability properties are needed in neural architectures which self-organize learned codes for variable-rate speech perception, sensorimotor planning, or three-dimensional (3-D) visual object recognition. Using such a working memory, a self-organizing architecture for invariant 3-D visual object recognition is described. The new model is based on the model of Seibert and Waxman (1990a), which builds a 3-D representation of an object from a temporally ordered sequence of its two-dimensional (2-D) aspect graphs. The new model, called an ARTSTORE model, consists of the following cascade of processing modules: Invariant Preprocessor → ART 2 → STORE Model → ART 2 → Outstar Network.


1996 ◽  
Vol 6 (2) ◽  
pp. 311-318 ◽  
Author(s):  
Raymond P. Kesner ◽  
Mary E. Hunt ◽  
Joseph M. Williams ◽  
Jeffrey M. Long

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