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.



Notice / News
  • CNSL's research on eye movement based subject authentication was on air (KBS), August 14, 2017 (http://news.kbs.co.kr/news/view.do?ncd=3533086)
  • CNSL's research on emotion recognition was on air (KBS), April 2, 2017 (http://news.kbs.co.kr/news/view.do?ncd=3456385)
  • 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
Recent Publication
  • Eun-Soo Jung, Dong-Gun Lee, Kyeong-Ho Lee, Soo-Young Lee, "Temporally Robust Eye Movements Through Task Priming and Self-referential Stimuli", Scientific Report, Vol. 7, No. 1, 2017.08.
  • Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee, "EEG-based Classification of Implicit Intention during Self-relevant Sentence Reading", IEEE Transactions on Cybernetics, Vol. 46, No. 11, pp. 2535-2542, 2016.11. 
  • Hwaran Lee, Geonmin Kim, Ho-Gyeong Kim, Sang-Hoon Oh, Soo-Young Lee, “Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations”,IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1310-1314, 2016.10.