scholarly journals Neuronal firing in the inferotemporal cortex of the monkey in a visual memory task

1982 ◽  
Vol 2 (3) ◽  
pp. 361-375 ◽  
Author(s):  
JM Fuster ◽  
JP Jervey
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.


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

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.


2008 ◽  
Vol 38 (6) ◽  
pp. 825-832 ◽  
Author(s):  
S. Moritz ◽  
T. S. Woodward ◽  
L. Jelinek ◽  
R. Klinge

BackgroundIn previous studies we suggested that liberal acceptance (LA) represents a fundamental cognitive bias in schizophrenia and may explain why patients are more willing to accept weak response alternatives and display overconfidence in incorrect responses. The aim of the present study was to test a central assumption of the LA account: false alarms in schizophrenia should be particularly increased when the distractor–target resemblance is weak relative to a control group.MethodSixty-eight schizophrenia patients were compared to 25 healthy controls on a visual memory task. At encoding, participants studied eight complex displays, each consisting of a unique pairing of four stimulus attributes: symbol, shape, position and colour. At recognition, studied items were presented along with distractors that resembled the targets to varying degrees (i.e. the match between distractors and targets ranged from one to three attributes). Participants were required to make old/new judgements graded for confidence.ResultsThe hypotheses were confirmed: false recognition was increased for patients compared to controls for weakly and moderately related distractors only, whereas strong lure items induced similar levels of false recognition for both groups. In accordance with prior research, patients displayed a significantly reduced confidence gap and enhanced knowledge corruption compared to controls. Finally, higher neuroleptic dosage was related to a decreased number of high-confident ratings.ConclusionsThese data assert that LA is a core mechanism contributing to both enhanced acceptance of weakly supported response alternatives and metamemory deficits, and this may be linked to the emergence of positive symptomatology.


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