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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.

 

 

CNSL will no longer accept new student.

 

 


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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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