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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


- Hwaran Lee, Geonmin Kim, Ho-Gyeong Kim, Sang-Hoon Oh, Soo-Young Lee, ˇ°Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variationsˇ±, IEEE Signal Processing Letters, 2016.07.08 (accepted)


- 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, Vol.11, No.3, pp. 221-232, 2016. 06.


- Hyung-Bae Jeon and Soo-Young Lee, ˇ°Language Model Adaptation Based on Topic Probability of Latent Dirichlet Allocationˇ±, ETRI Journal, Vol. 38, No. 3, pp. 487-493, 2016.06.


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