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Computational Neurosystems Laboratory

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. Environmental Audio Scene a...

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Computational Neurosystems Laboratory | cnsl.kaist.ac.kr Reviews
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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. Environmental Audio Scene a...
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Computational Neurosystems Laboratory | cnsl.kaist.ac.kr Reviews

https://cnsl.kaist.ac.kr

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. Environmental Audio Scene a...

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cnsl.kaist.ac.kr cnsl.kaist.ac.kr
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Computational Neurosystems Laboratory

http://cnsl.kaist.ac.kr/lecture.html

List of Lectures by Prof. Lee. Current Lectures : 2016 Spring.

2

Computational Neurosystems Laboratory

http://cnsl.kaist.ac.kr/lab_board.html

CNSL Meeting and Story. CNSL 연구실원분들만 이용할 수 있습니다. 이곳은 CNSL 연구실 랩 세미나, 랩 미팅 용 페이지입니다. 세미나 발표 논문들과 슬라이드 자료가 있습니다. Mailto : cnsl info@neuron.kaist.ac.kr. CNSL 연구실원분들만 이용할 수 있습니다. 이곳은 'CNSL 연구실 사람들의 이야기'. 이곳은 'CNSL 연구실 자료모음터'. CNSL 졸업생 분들과 재학생 분들만 이용할 수 있습니다. 이곳은 'CNSL 졸업생분들의 이야기'. 이곳은 'CNSL 관리 페이지'. CNSL 졸업생 분들과 재학생 분들만 이용할 수 있습니다. 이곳은 'CNSL 졸업생분들의 사진'.

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Computational Neurosystems Laboratory

http://cnsl.kaist.ac.kr/introduction.html

CNSL has been jointly listed at the School of Electrical Engineering and Brain Science Research Center. Understanding brain information processing mechanism for auditory, vision, cognition, and behavior. Developing brain-like intelligent systems (Artificial Brain and Artificial Cognitive Systems). Architecture and learning algorithm for neural networks, aka machine learning (deep learning). Auditory models for speech feature extraction, sound localization and blind signal separation. 1) Deep Learning for...

4

Computational Neurosystems Laboratory

http://cnsl.kaist.ac.kr/index.html

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. Hyung-Bae Jeon and Soo-Youn...

5

Computational Neurosystems Laboratory

http://cnsl.kaist.ac.kr/publication.html

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, 2016.07.08 (accepted). Bo-Kyeong Kim, Jihyeon Roh, Suh-Yeon Dong, Soo-Young Lee. 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. Changhyun Kim, Wonil Chang...

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neurorobot.kaist.ac.kr neurorobot.kaist.ac.kr

Cognitive Neuro-Robotics Lab @ KAIST

http://neurorobot.kaist.ac.kr/collaborativeLabs.html

Korea Advanced Institute of Science and Technology. Prof Lee, Soo-Young, KAIST. Brain Reverse Engineering and Imaging Lab. Prof Kim, Dae-Shik, KAIST. Robotics and Computer Vision Lab. Prof Kweon, In So, KAIST. Prof Takashi Ikegami, Univ. of Tokyo. Lab for Neural Circuit Theory. Prof Tomoki Fukai, Riken BSI, Japan. Prof Shigeki Sugano, Waseda Univ, Japan. Dr Huajin Tang, I2R, Singapore. Laboratory for Intelligent Dynamics and Representation. Prof Tetsuya Ogata, Waseda University.

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Computational Neurosystems Laboratory

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. Environmental Audio Scene a...

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