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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

- Suh-Yoen 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)

- Hyun Ah Song, Bo-Kyeong Kim, Thanh Luong Xuan, Soo-Young Lee, ˇ°Hierachical Feature Extraction by Multi-layer Non-negative Matrix Factorization Network for Classification Taskˇ±, Neurocomputing, Vol. 165, pp. 63-74, 2015.10.

- Wonil Chang, Hyun Ah Song, Sang-Hoon Oh, Soo-Young Lee, ˇ°Noise-Robust Detection of Symmetric Axes by Self-Correcting Artificial Neural Networkˇ±, Neural Processing Letters, Vol. 41, Issue 2, pp. 179-189, 2015.04.


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