Laboratory for Brain and Machine Intelligence

Laboratory for Brain and Machine Intelligence @ KAIST

Laboratory for brain and machine intelligence, KAIST

 Selected publications 

(*: corresponding authors, +: co-first authors)
Google scholar citations

How machines learn to predict the future:

  • Lee, J. H.+, Seymour, B.+* Leibo, J. S., An, J., Lee, S. W.*
    Towards high-performance, memory-efficient, and fast reinforcement learning: lessons from decision neuroscience.
    Science Robotics. 4(26), eaav2975, 2019. (reprint, fulltext free download)
    [media: Dongascience, Veritas-a, Yonhap news, Korea IT news, Seoul daily newspaper, Money today, Science monitor, Robot news, Daily today, Global economic, etnews, and etc.]

  • Lee, S. W.*, Yi, T., Han, J.-S., Jung, J.-W., and Bien, Z.
    Design of a gait phase recognition system that can cope with EMG electrode location variation.
    IEEE Transactions on Automation Science and Engineering 14(3), 2017.

  • Lee, S. W.*, Prenzel, O., and Bien, Z.
    Applying human learning principles to user-centered IoT systems.
    IEEE Computer 46, 2013 (cover feature). (full text)

  • Lee, S. W.*, Kim, Y. S., Bien, Z.
    A non-supervised learning framework of human behavior patterns based on sequential actions.
    IEEE Transactions on Knowledge and Data Engineering 22(4), 2010. (full text)

  • Lee, S. W. and Bien, Z.
    Representation of a Fisher criterion function in a kernel feature space.
    IEEE Transactions on Neural Networks 21(2), 2010. (full text)

How brains learn to predict the future: