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The main research areas reside in computational models of brain information processing mechanism and their applications to build human-like intelligent systems, i.e., Artificial Brain and Artificial Cognitive Systems (ACS). These functional models are based on information theory and inspired by findings in cognitive science. Intelligent robots with human-like cognitive functions are examples of ACSs, which improve their functional ability by learning from users and other ACSs.



CNSLwill no longer accept new student for Ph.D. course, but will accept students for MS course in 2016.




Recent Publication

- Bo-Kyeong Kim, Challenge Winner, Image-Based Static Facial Expression Recognition Sub-challenge, The Third Emotion Recognition In The Wild Challenge (EmotiW 2015), November 09-13, 2015, Seattle, USA


- Ho-Gyeong Kim, Best Poster Award, 3rd International Conference on Human-Agent Interaction (HAI2015), October 21-24, 2015, Daegu, Korea


- Bo-Kyeong Kim, Jihyeon Roh, Suh-Yeon Dong, Soo-Young Lee, ˇ°Hierarchical Committee of Deep Convolutional Neural Networks for Robust Facial Expression Recognition", Journal on Multimodal User Interfaces, 2015.12.16 (accepted)


- Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee, ˇ°EEG-based Classification of Implicit Intention during Self-relevant Sentence Reading", IEEE Transactions on Cybernetics, 2015.10.02 (online)


- Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee, ˇ°Implicit Agreeing/Disagreeing Intention While Reading Self-Relevant Sentence: A Human fMRI Studyˇ±, Social Neuroscience, 2015.05.25 (accepted), 2015.07.10 (online)


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