Global-Leading Research and Education in Brain and Cognitive engineering KOREA UNIVERSITY To understand the structure and the key principles of high-order information processing by which brains work,
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Research Highlight

Research
Prof. Christian Wallraven's paper accepted in IEEE Transactions on Visualization and Computer Graphics
Author Administrator (IP: *.152.74.116) Date 2019-03-04 12:25 Views 425
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Prof. Christian Wallraven's research paper, 'You or me? Personality Traits Predict Sacrificial Decisions in an Accident Situation' was accepted in IEEE Transactions on Visualization and Computer Graphics.

 

Title : You or me? Personality Traits Predict Sacrificial Decisions in an Accident Situation

Abstract : Emergency situations during car driving sometimes force the driver to make a sudden decision. Predicting these decisions will have important applications in updating risk analyses in insurance applications, but also can give insights for drafting autonomous vehicle guidelines. Studying such behavior in experimental settings, however, is limited by ethical issues as it would endanger peoples’ lives. Here, we employed the potential of virtual reality (VR) to investigate decision-making in an extreme situation in which participants would have to sacrifice others in order to save themselves. In a VR driving simulation, participants first trained to complete a difficult course with multiple crossroads in which the wrong turn would lead the car to fall down a cliff. In the testing phase, obstacles suddenly appeared on the “safe” turn of a crossroad: for the control group, obstacles consisted of trees, whereas for the experimental group, they were pedestrians. In both groups, drivers had to decide between falling down the cliff or colliding with the obstacles. Results showed that differences in personality traits were able to predict this decision: in the experimental group, drivers who collided with the pedestrians had significantly higher psychopathy and impulsivity traits, whereas impulsivity alone was to some degree predictive in the control group. Other factors like heart rate differences, gender, video game expertise, and driving experience were not predictive of the emergency decision in either group. Our results show that self-interest related personality traits affect decision-making when choosing between preservation of self or others in extreme situations and showcase the potential of virtual reality in studying and modeling human decision-making.




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Research
Prof. Byoung-Kyong Min's paper published at NeuroImage
Prof. Byoung-Kyong Min's paper published at NeuroImage
Prof. Byoung-Kyong Min's research paper, 'Thalamocortical Inhibitory Dynamics Support Conscious Perception' was publishsed at NeuroImage. Link to the publication: https://doi.org/10.1016/j.neuroimage.2020.117066 Title: Thalamocortical Inhibitory Dynamics Support Conscious Perception Abstract:Whether thalamocortical interactions play a decisive role in conscious perception remains an open question. We presented rapid red/g…

2020-06-15

Prof. Jeehyun Kwag's paper accepted in Chaos
Prof. Jeehyun Kwag's paper accepted in Chaos
Prof. Jeehyun Kwag's research paper, 'Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neural network' was accepted in Chaos.  link to the publication: https://aip.scitation.org/doi/full/10.1063/1.5134765Title: Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neu…

2020-05-29

Prof. Jeehyun Kwag's paper accepted in Science Advances
Prof. Jeehyun Kwag's paper accepted in Science Advances
Prof. Jeehyun Kwag's research paper, 'Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex'  was accepted in Science Advances.  Publication Link: https://advances.sciencemag.org/content/6/17/eaay5333/Title: Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortexAbstract: Synchron…

2020-04-23

Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's research paper, 'New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions' was accepted in Trends in Biotechnology. Title: New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions Abstract:Most of the studies employing neuroimaging have focused on cortical and subcortical signals individually to obtain neurophysiological signatures of cognitiv…

2020-03-09

Prof. Jeehyun Kwag's paper accepted in Brain Structure and Function
Prof. Jeehyun Kwag's paper accepted in Brain Structure and Function
Prof. Jeehyun Kwag's research paper, 'Dissociation of Somatostatin and Parvalbumin Interneurons Circuit Dysfunctions Underlying Hippocampal Theta and Gamma Oscillations impaired by Amyloid β Oligomers in Vivo' was accepted in Brain Structure and Function. Publication Link: https://link.springer.com/article/10.1007/s00429-020-02044-3Title: Dissociation of somatostatin and parvalbumin interneurons circuit dysfunctions underlyin…

2020-03-02

Prof. Jeehyun Kwag's paper accepted in BMC Biology
Prof. Jeehyun Kwag's paper accepted in BMC Biology
Prof. Jeehyun Kwag's research paper, 'Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-term potentiation impaired by amyloid β oligomers' was accepted in BMC Biology. Title: Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation…

2020-03-02

Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's research paper, 'Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning' was accepted in NeuroImage.  Title: Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning  Abstract: In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer's disease (…

2019-08-20

Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof. Jae-Ho Han’s new research on `Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images` was accepted in IEEE Transactions on Image Processing.  Title: Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography ImagesAbstract: Segmenting the retinal layers in optical coherence tomography (OCT) images helps to quantify the …

2019-07-24

Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transportation Systems
Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transp…
Prof. Seong-Whan Lee's new research, Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature was accepted in IEEE Transactions on Intelligent Transportation Systems. Title: 'Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature Abstract: The continuous orientation estimation of a moving pedestrian is a crucial issue in auto…

2019-05-02

Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's research paper, 'Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection' was accepted in Neural Networks.   Title: Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection Abstract: Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the risks of mortality. In this regard, it has been o…

2019-03-07

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