scholarly journals The spatiotemporal properties of visual completion measured by response classification

10.1167/6.4.5 ◽  
2006 ◽  
Vol 6 (4) ◽  
pp. 5 ◽  
Author(s):  
Jason M. Gold ◽  
Erin Shubel
Keyword(s):  
Visual Completion ◽  
Response Classification

scholarly journals Response: Classification of the Arthropod Fuxianhuia

Science ◽  
1996 ◽  
Vol 272 (5262) ◽  
pp. 747-748 ◽  
Author(s):  
G. D. Edgecombe ◽  
L. Ramskold
Keyword(s):  
Response Classification

scholarly journals Using physiological signals to predict temporal defense responses: a multi-modality analysis

2020 ◽  
Author(s):  
Tae-jun Choi ◽  
Honggu Lee
Keyword(s):  
Defense Response ◽  
Defense Responses ◽  
Physiological Signals ◽  
Classification Model ◽  
Post Traumatic Stress ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Novel Approach ◽  
Data Driven Approach ◽  
Response Classification

AbstractDefense responses are a highly conserved behavioral response set across species. Defense responses motivate organisms to detect and react to threats and potential danger as a precursor to anxiety. Accurate measurement of temporal defense responses is important for understanding clinical anxiety and mood disorders, such as post-traumatic stress disorder, obsessive compulsive disorder, and generalized anxiety disorder. Within these conditions, anxiety is defined as a state of prolonged defense response elicitation to a threat that is ambiguous or unspecific. In this study, we aimed to develop a data-driven approach to capture temporal defense response elicitation through a multi-modality data analysis of physiological signals, including electroencephalogram (EEG), electrocardiogram (ECG), and eye-tracking information. A fear conditioning paradigm was adopted to develop a defense response classification model. From a classification model based on 42 feature sets, a higher order crossing feature set-based model was chosen for further analysis with cross-validation loss of 0.0462 (SEM: 0.0077). To validate our model, we compared predicted defense response occurrence ratios from a comprehensive situation that generates defense responses by watching movie clips with fear awareness and threat existence predictability, which have been reported to correlate with defense response elicitation in previous studies. We observed that defense response occurrence ratios are correlated with threat existence predictability, but not with fear awareness. These results are similar to those of previous studies using comprehensive situations. Our study provides insight into measurement of temporal defense responses via a novel approach, which can improve understanding of anxiety and related clinical disorders for neurobiological and clinical researchers.

scholarly journals Improving Accuracy of Intention-Based Response Classification using Decision Tree

2009 ◽  
Vol 8 (6) ◽  
pp. 923-928 ◽  
Author(s):  
S.A. Ali ◽  
N. Sulaiman ◽  
A. Mustapha ◽  
N. Mustapha
Keyword(s):  
Decision Tree ◽  
Improving Accuracy ◽  
Response Classification

scholarly journals Temporal variations in visual completion: A reflection of spatial limits?

2010 ◽  
Vol 3 (9) ◽  
pp. 240-240 ◽  
Author(s):  
S. E. Guttman ◽  
A. B. Sekuler ◽  
P. J. Kellman
Keyword(s):  
Temporal Variations ◽  
Visual Completion

scholarly journals Investigation of Delayed Response during Real-Time Cursor Control Using Electroencephalography

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hyeonseok Kim ◽  
Natsue Yoshimura ◽  
Yasuharu Koike
Keyword(s):  
Real Time ◽  
High Accuracy ◽  
Delayed Response ◽  
Cursor Control ◽  
Parietal Lobes ◽  
Delay Times ◽  
Cortical Regions ◽  
Occipital Lobes ◽  
Response Classification ◽  
The Brain

Error-related brain activation has been investigated for advanced brain-machine interfaces (BMI). However, how a delayed response of cursor control in BMI systems should be handled is not clear. Therefore, the purpose of this study was to investigate how participants responded to delayed cursor control. Six subjects participated in the experiment and performed a wrist-bending task. For three distinct delay intervals (an interval where participants could not perceive the delay, an interval where participants could not be sure whether there was a delay or not, and an interval where participants could perceive the delay), we assessed two types of binary classifications (“Yes + No” vs. “I don’t know” and “Yes” vs. “No”) based on participants’ responses and applied delay times (thus, four types of classification, overall). For most participants, the “Yes vs. No” classification had higher accuracy than “Yes + No” vs. “I don’t know” classification. For the “Yes + No” vs. “I don’t know” classification, most participants displayed higher accuracy based on response classification than delay classification. Our results demonstrate that a class only for “I don’t know” largely contributed to these differences. Many independent components (ICs) that exhibited high accuracy in “Yes + No” vs. “I don’t know” response classification were associated with activation of areas from the frontal to parietal lobes, while many ICs that showed high accuracy in the “Yes vs. No” classification were associated with activation of an area ranging from the parietal to the occipital lobes and were more broadly localized in cortical regions than was seen for the “Yes + No” vs. “I don’t know” classification. Our results suggest that small and large delays in real-time cursor control differ not only in the magnitude of the delay but should be handled as distinct information in different ways and might involve differential processing in the brain.

scholarly journals Does Prosopagnosia Take the Eyes Out of Face Representations? Evidence for a Defect in Representing Diagnostic Facial Information following Brain Damage

2005 ◽  
Vol 17 (10) ◽  
pp. 1652-1666 ◽  
Author(s):  
Roberto Caldara ◽  
Philippe Schyns ◽  
Eugéne Mayer ◽  
Marie L. Smith ◽  
Frédéric Gosselin ◽  
...  
Keyword(s):  
Brain Damage ◽  
Face Processing ◽  
Processing System ◽  
Facial Information ◽  
Spatial Frequencies ◽  
The Face ◽  
Occipitotemporal Cortex ◽  
Response Classification ◽  
Unfamiliar Faces ◽  
Normal Controls

One of the most impressive disorders following brain damage to the ventral occipitotemporal cortex is prosopagnosia, or the inability to recognize faces. Although acquired prosopagnosia with preserved general visual and memory functions is rare, several cases have been described in the neuropsychological literature and studied at the functional and neural level over the last decades. Here we tested a brain-damaged patient (PS) presenting a deficit restricted to the category of faces to clarify the nature of the missing and preserved components of the face processing system when it is selectively damaged. Following learning to identify 10 neutral and happy faces through extensive training, we investigated patient PS's recognition of faces using Bubbles, a response classification technique that sampled facial information across the faces in different bandwidths of spatial frequencies [Gosselin, F., & Schyns, P. E., Bubbles: A technique to reveal the use of information in recognition tasks. Vision Research, 41, 2261-2271, 2001]. Although PS gradually used less information (i.e., the number of bubbles) to identify faces over testing, the total information required was much larger than for normal controls and decreased less steeply with practice. Most importantly, the facial information used to identify individual faces differed between PS and controls. Specifically, in marked contrast to controls, PS did not use the optimal eye information to identify familiar faces, but instead the lower part of the face, including the mouth and the external contours, as normal observers typically do when processing unfamiliar faces. Together, the findings reported here suggest that damage to the face processing system is characterized by an inability to use the information that is optimal to judge identity, focusing instead on suboptimal information.

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