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,
and to implement these in artificial systems that interact intelligently with real world

Research Highlight

Research
Prof. Heung-Il Suk's paper accepted in IEEE Computational Intelligence Magazine
Prof. Heung-Il Suk's paper accepted in IEEE Computational Intelligence Magazine
Prof. Heung-Il Suk's paper, 'Multi-Scale Neural Network for EEG Representation Learning in BCI" was accepted in  IEEE Computational Intelligence Magazine (ranked in 9 out of 137 journals in Computer Science, Artificial Intelligence .  Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, and Heung-Il Suk, "Multi-Scale Neural Network for EEG Representation Learning in BCI" in the IEEE Computational Intelligence MagazineAbstrac…

2021-02-02

Prof. Byoung-Kyung Min's research paper accepted in IEEE Transactions on Cybernetics
Prof. Byoung-Kyung Min's research paper accepted in IEEE Transactions on Cyberne…
Prof. Byoung-Kyung Min's research paper entitled 'Deep-learning-based Automatic Selection of Fewest Channels for Brain-Machine Interfaces'  was accepted in IEEE Transactions on Cybernetics.Title: Deep-learning-based Automatic Selection of Fewest Channels for Brain-Machine InterfacesAbstract:Owing to the development of convenient brain–machine interfaces (BMIs), the automatic selection of a minimum channel (electrode) set has attracted increasing int…

2021-01-18

Prof. Heung-Il Suk's paper accepted in IEEE Transactions on Neural Networks and Learning Systems.
Prof. Heung-Il Suk's paper accepted in IEEE Transactions on Neural Networks and …
Prof. Heung-Il Suk's paper, 'A Plug-in Method for Representation Factorization in Connectionist Models" was accepted in IEEE Transactions on Neural Networks and Learning Systems(no. 1 out of 104 journals in the Computer Science, Theory and Methods field). 

2021-01-15

Prof. Sang Hee Kim's paper accepted in Computers in Human Behavior
Prof. Sang Hee Kim's paper accepted in Computers in Human Behavior
Yuseok Jeong & Prof. Sang Hee Kim's research entitled 'Modification of Socioemotional Processing in Loneliness Through Computer-Assisted Feedback-Based Interpretation Training' was accepted in Computers in Human Behavior. Abstract:  Loneliness is a growing public health problem. Lonely individuals show a characteristic negative bias in the cognitive processing of socioemotional information. In the current study, we tested the effect…

2020-12-15

Prof. Heung-Il Suk's paper accepted in IEEE Transactions on Industrial Informatics
Prof. Heung-Il Suk's paper accepted in IEEE Transactions on Industrial Informati
Prof. Heung-Il Suk's paper, 'A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs' was accepted in IEEE Transactions on Industrial Informatics.  * Wonjun Ko, Eunjin Jeon, Heung-Il Suk, "A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs" in the IEEE Transactions on Industrial Informatics

2020-12-09

Prof. Jong-Hwan Lee's paper accepted in NeuroImage
Prof. Jong-Hwan Lee's paper accepted in NeuroImage
Prof. Jong-Hwan Lee's research paper 'A naturalistic viewing paradigm using 360° panoramic video clips and real-time field-of-view changes with eye-gaze tracking' was accepted in NeuroImage.   Title: A naturalistic viewing paradigm using 360° panoramic video clips and real-time field-of-view changes with eye-gaze trackingAbstract: The naturalistic viewing of a video clip enables participants to obtain more information from the clip comp…

2020-09-02

Prof. Jong-Hwan Lee's paper accepted in NeuroImage
Prof. Jong-Hwan Lee's paper accepted in NeuroImage
Prof. Jong-Hwan Lee's research paper, 'fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations' was accepted in NeuroImage.   Title: fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activationsAbstract: Deep-learning methods based on deep neural networks (DNNs) have recently been successfully utilized in the analysis of n…

2020-09-02

[수상소식] - 빅데이터와 인공지능(AI) 활용하여 원전 안전 강화한다
[수상소식] - 빅데이터와 인공지능(AI) 활용하여 원전 안전 강…
 link to news: http://korea.ac.kr/user/boardList.do?boardId=474633&command=albumView&page=1&boardSeq=488752&id=university_060108000000

2020-08-12

Prof. Heung-Il Suk's paper accepted in IEEE Transactions on Neural Networks and Learning Systems
Prof. Heung-Il Suk's paper accepted in IEEE Transactions on Neural Networks and …
Prof. Heung-Il Suk's research paper, 'Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction' was accepted in IEEE Transactions on Neural Networks and Learning Systems.Title: Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction Abstract: Electronic health records (EHR) are characterized as non-stationary, heterogeneous, noisy, and sparse data; therefore, it is challenging to learn the regul…

2020-08-07

Prof. Heung-Il Suk's paper. selected as Most Downloaded Article in the Past Year
Prof. Heung-Il Suk's paper. selected as Most Downloaded Article in the Past Year
 Prof. Heung-Il Suk's paper on "Deep Learning in Medical Image Analysis" was selected as "Most Downloaded Article in the Past Year" in the Annual Review of Biomedical Engineering (2019-JCR-IF: 15.541). Please refer to the link for more information. https://www.annualreviews.org/journal/bioeng

2020-08-03

1 2 3 4 5 6 7 8 9 10