scholarly journals DEPRESIVNOSTI VIZUELNO PAMĆENJE SPECIFIČNIH STIMULUSA (EMOTIKONA)

2021 ◽  
Vol 18 (1) ◽  
pp. 89-105
Author(s):  
Dajana Budiša ◽  
Ajla Halilović ◽  
Ljiljana Jovanović ◽  
Nedeljka Prole ◽  
Svetlana Borojević

Depression is a state of reduced psychophysical activity that is accompanied by various changes in cognitive, emotional and social functioning. Previous studies have found that depression leads to changes in the recognition of the emotions of others, makes it difficult to direct attention and significantly impairs visual memory. The main goal of this research is to examine the relations between depressive symptoms and visual memory of specific stimuli that show emotions. We also want to examine whether the intensity of depressive symptoms is related to longer reaction time in the experimental task, as well as whether the accuracy of the emoticon’s visual memory depends on the set size. The research was conducted on a sample of 84 participants, students of Faculty of Philosophy in Banja Luka (90% female). The PHQ-9 questionnaire was used to assess depressive symptoms. Visual memory task was created in SuperLab 4.1. for Windows.The results show that there is a partial contribution of moderate depression to the accuracy of emoticon memory with sadness expression. No partial contribution of any category of depression to the memory accuracy of emoticons with the expression of happiness has been determined. A statistically significant negative correlation for the category of “sad” stimuli was obtained between the expression of depressive symptoms and the response time in the experimental task, while no statistically significant correlation was obtained for the second category of stimuli. It was also found that the number of errors increases with the set size. These results can be explained by negative bias and cognitive load in information processing. Key words: visual memory, depression, emoticons, expression of happiness, expression of sadness

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2694
Author(s):  
Sang-Yeong Jo ◽  
Jin-Woo Jeong

Visual memorability is a method to measure how easily media contents can be memorized. Predicting the visual memorability of media contents has recently become more important because it can affect the design principles of multimedia visualization, advertisement, etc. Previous studies on the prediction of the visual memorability of images generally exploited visual features (e.g., color intensity and contrast) or semantic information (e.g., class labels) that can be extracted from images. Some other works tried to exploit electroencephalography (EEG) signals of human subjects to predict the memorability of text (e.g., word pairs). Compared to previous works, we focus on predicting the visual memorability of images based on human biological feedback (i.e., EEG signals). For this, we design a visual memory task where each subject is asked to answer whether they correctly remember a particular image 30 min after glancing at a set of images sampled from the LaMemdataset. During the visual memory task, EEG signals are recorded from subjects as human biological feedback. The collected EEG signals are then used to train various classification models for prediction of image memorability. Finally, we evaluate and compare the performance of classification models, including deep convolutional neural networks and classical methods, such as support vector machines, decision trees, and k-nearest neighbors. The experimental results validate that the EEG-based prediction of memorability is still challenging, but a promising approach with various opportunities and potentials.


1998 ◽  
Vol 79 (3) ◽  
pp. 255-265 ◽  
Author(s):  
Donald M Dougherty ◽  
Joel L Steinberg ◽  
Adel A Wassef ◽  
David Medearis ◽  
Don R Cherek ◽  
...  

2017 ◽  
Author(s):  
Travis Meyer ◽  
Nicole C. Rust

AbstractOur visual memory percepts of whether we have encountered specific objects or scenes before are hypothesized to manifest as decrements in neural responses in inferotemporal cortex (IT) with stimulus repetition. To evaluate this proposal, we recorded IT neural responses as two monkeys performed a single-exposure visual memory task designed to measure the rates of forgetting with time. We found that a weighted linear read-out of IT was a better predictor of the monkeys’ forgetting rates and reaction time patterns than a strict instantiation of the repetition suppression hypothesis, expressed as a total spike count scheme. Behavioral predictions could be attributed to visual memory signals that were reflected as repetition suppression and were intermingled with visual selectivity, but only when combined across the most sensitive neurons.


1970 ◽  
Vol 7 (1) ◽  
pp. 47-50 ◽  
Author(s):  
Frank Tolkmitt ◽  
Richard E. Christ

2004 ◽  
Vol 101 (14) ◽  
pp. 5064-5068 ◽  
Author(s):  
G. T. Prusky ◽  
R. M. Douglas ◽  
L. Nelson ◽  
A. Shabanpoor ◽  
R. J. Sutherland

1972 ◽  
Vol 12 (1) ◽  
pp. 65-68 ◽  
Author(s):  
David W. Martin ◽  
Eileen Richards

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Travis Meyer ◽  
Nicole C Rust

Our visual memory percepts of whether we have encountered specific objects or scenes before are hypothesized to manifest as decrements in neural responses in inferotemporal cortex (IT) with stimulus repetition. To evaluate this proposal, we recorded IT neural responses as two monkeys performed a single-exposure visual memory task designed to measure the rates of forgetting with time. We found that a weighted linear read-out of IT was a better predictor of the monkeys’ forgetting rates and reaction time patterns than a strict instantiation of the repetition suppression hypothesis, expressed as a total spike count scheme. Behavioral predictions could be attributed to visual memory signals that were reflected as repetition suppression and were intermingled with visual selectivity, but only when combined across the most sensitive neurons.


1979 ◽  
Vol 48 (1) ◽  
pp. 195-198 ◽  
Author(s):  
R. Dale Walker ◽  
Michael R. O'Leary ◽  
Edmund F. Chaney ◽  
Thomas M. Fauria

The present study investigated the interaction between cognitive style, imagery, and memory. The Tactual Performance Test Location Score from the Halstead-Reitan battery was used as a measure of incidental tactual memory and mental imagery. The Group Embedded Figures Test was used to assess cognitive style. Results for 38 Caucasian males of mean age 49.9 yr. suggest that cognitive style is related to an individual's ability to perform a non-verbal, non-visual memory task. Further, cognitive style may be an important mediating variable influencing intrapersonal behaviors such as non-verbal memory and mental imagery.


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