Research

  • D. Mulders, B. Seymour, A. Mouraux, F.Mancini
    Confidence of probabilistic predictions modulates the cortical response to pain.,

    PNAS (2023)

  • F. Mancini, S. Zhang, B. Seymour
    Computational and neural mechanisms of statistical pain learning.,

    Nature Communications (2022)

  • A. Yaman, N. Bredeche, O. Çaylak, J. Z. Leibo, S. W. Lee
    Meta-control of social learning strategies.,

    PLoS Computational Biology (2022)

  • J. G. Choy, G. Cha, S. Oh
    Unsupervised 3D Link Segmentation of Articulated Objects with a Mixture of Coherent Point Drift.,

    IEEE Robotics and Automation Letters (2022)

  • Y. J. Rah, J. Kim, S. A. Lee
    Effects of spatial boundaries on episodic memory development.,

    Child Development (2022)

  • T. Kang, et al.
    Team Tidyboy at the WRS 2020: a modular software framework for home service robots.,

    Advanced Robotics (2022)

  • M. Lee, S. -W. Lee
    Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning,

    Nature Communications (2021)

  • D. J. Kim, J. S. Jeong, S. W. Lee
    Prefrontal solution to the bias-variance tradeoff during reinforcement learning

    Cell Reports (2021)

  • P. Bertens, S. -W. Lee
    Network of evolvable neural units can learn synaptic learning rules and spiking dynamics,

    Nature Machine Intelligence (2020) (Cover Paper)

  • D. J. Kim, G. Y. Park, John P. O., S. W. Lee
    Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning,

    Nature Communications (Dec 2019)

  • H-G Jung., S. -W. Lee.
    Few-Shot Learning with Geometric Constraints,

    IEEE Transactions on Neural Networks and Learning Systems (2020)

  • S. Heo., Y. Sung., S. W. Lee.
    Effects of subclinical depression on prefrontal-striatal model-based and model-free learning,

    PLOS Computational Biology (2021)

  • G. Kim., H-G Jung., S. -W. Lee.
    Spatial reasoning for few-shot object detection,

    Pattern Recognition (2021)

  • J-W Seo., H-G Jung., S. -W. Lee.
    Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning,

    Neural Networks (2021)

  • K. W. Park., J. W. Ha., J. H. Lee., S. Kwon., K. M. Kim, B.-T. Zhang.
    M2FN: Multi-step modality fusion for advertisement image assessment,

    Applied Soft Computing Journal (2021)

  • J. W. Seo., S. W. Lee.,
    Neural network-based intuitive physics for non-inertial reference frames

    IEEE Access, vol. 9, pp. 114246-114254 (2021).

  • Zhang, S., Yoshida, W., Mano, H., Yanagisawa, T., Mancini, F., Shibata, K., et al.
    Pain control by co-adaptive learning in a brain-machine interface,

    Current Biology, 1–18.(2020)

  • Yanagisawa, T., Fukuma, R., Seymour, B., Tanaka, M., Hosomi, K., Yamashita, O., et al.
    BCI training to move a virtual hand reduces phantom limb pain,

    Neurology, 95(4), e417–e426. (2020)

  • Seymour, B., Mancini, F.
    Hierarchical models of pain: Inference, information-seeking, and adaptive control.,

    NeuroImage, 222, 117212. (2020)

  • Becker, S., Löffler, M., Seymour, B.
    Reward enhances pain discrimination in humans.

    Psychological Science, 31(9), 1191–1199. (2020)

  • E. W. Kim., M. S. Lee., S. H. Oh.,
    Nonconvex Sparse Representation with Slowly Vanishing Gradient Regularizers

    IEEE Access, vol. 8, pp. 132489-132501 (2020).

  • F. Ke., S. Choi., Y. H. Kang., K. A. Cheon., S. W. Lee
    Exploring the Structural and Strategic Bases of Autism Spectrum Disorders with Deep Learning,

    IEEE Access, vol. 8, pp. 153341-153352 (2020).

  • M. R. Song., S. W. Lee.,
    Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity,

    Neural Networks, vol. 126, pp. 95-107 (2020).

  • Marilina Mastrogiuseppe, Natasha Bertelsen, Maria Francesca Bedeschi, S. A. Lee.
    The spatiotemporal organization of episodic memory and its disruption in a neurodevelopmental disorder,

    Scientific Reports 9.1 (2019): 1-12. (Dec 2019)

  • E. W. Kim., M. S. Lee., S. H. Oh.,
    A Scalable Framework for Data-Driven Subspace Representation and Clustering,

    Pattern Recognition Letters, vol. 125, pp. 742-749, (Jul. 2019).

  • 정채윤, 홍유정, 공성현, 최유진, 이교구.
    실어증 환자 대상 디지털 기술 기반 언어재활에 관한 최근 문헌 고찰: VR, AR, 모바일 애플리케이션을 중심으로,

    한국콘텐츠학회논문지 (2022)

  • 허유정, 김은솔, 최우석, 온경운, 장병탁.
    시각적 관계 예측을 위한 계산 효율적인 조합적 전이 표현 학습법,

    한국정보과학회 논문지 (2022)

  • 최성호, 온경운, 허유정, 장유원, 서아정, 이승찬, 이민수, 장병탁.
    DramaQA: 계층적 질의응답과 함께하는 등장인물 중심 비디오 스토리 이해,

    KIISE Transactions on Computing Practices (2021)