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  • Hansem Sohn
  • Assistant Professor
  • cognitive computational neuroscience, neurophysiology and neuroimaging, numerical cognition, Bayesian modeling
  • hansem.sohngmail.com
  • http://natural-intelligence-lab.github.io/
  • Cognitive and systems neuroscience

CVDetail

  • Information

  • I am a brand-new Assistant Professor at Sungkyunkwan University (SKKU) in South Korea, studying how the brain generates complex and intelligent behaviors. I am affiliated with the Institute for Basic Science (IBS) - Center for Neuroscience Imaging Research and the Department of Biomedical Engineering.

    Previously, I was a postdoctoral associate/research scientist at MIT, working with Mehrdad Jazayeri, and at Yale, working with Daeyeol Lee. I obtained my Ph.D. in neuroscience from Seoul National University, mentored by Sang-hun Lee, and my master’s/undergrad from KAIST, mentored by Jaeseung Jeong.

    My area of research is cognitive and systems neuroscience. I have been investigating how the brain measures and processes time using multiple approaches: behavioral experiments, computational modeling (e.g., Bayesian theory), human neuroimaging (EEG/fMRI), and electrophysiology in non-human primates. In my new lab, I will combine these techniques to study how the prefrontal and posterior parietal cortices process information about magnitude (time, number, and space).

    In my spare time (if I have any!), I enjoy spending time with my daughters outdoors (camping,skiing) and would love to adopt a dog.

    Recent Updates

    February 2023: I start my own lab at Sungkyunkwan University (SKKU), Department of Biomedical Engineering & Institute for Basic Science - Center for Neuroscience Imaging Research

    January 2023: Manuel & Nico’s work titled “Parametric control of flexible timing through low-dimensional neural manifolds”, which I am a part of, is published in Neuron

    November 2022: Reza & Andrew’s work titled “A large-scale neural network training framework for generalized estimation of single-trial population dynamics”, which I am a part of, is published in Nature Methods

    October 2022: Jason’s work that I mentored is accepted as an oral presentation in NeurIPS workshop

    October 2021: My review paper with Devika titled “Neural implementations of Bayesian inference” is published in Current Opinion in Neurobiology

    June 2021: My work titled “Validating model-based Bayesian integration using prior–cost metamers” is published in PNAS

  • Sung Han
  • Associate Professor
  • Neuropeptidergic circuit dissection, emotion-physiology interaction, endogenous opioidergic system
  • sunghansalk.edu

  • Kwangsun Yoo
  • Assistant Professor
  • Computational Cognitive Neuroscience, Attention, Intelligence, Development, Predictive modeling
  • rayksyooskku.edu

Detail

  • Information
  •  
    Introduction
    We aim to understand how the brain works, what intelligence and attention – both biological and artificial – are, and how human cognition emerges from the brain’s complex systems during development. To address these questions, we combine large-scale brain imaging (primarily fMRI) with computational predictive modeling. We also develop and apply AI techniques to analyze multimodal medical data, with potential applications in clinical and translational research.
     
    Selected Recent Publication
    1. Yoo K, Rosenberg MD, Kwon YH, Lin Q, Avery EW, Scheinost D, Constable RT, Chun MM. A brain-based general measure of attention. Nature Human Behaviour.  2022 June; 6: 782-795.
    2. Yoo K, Rosenberg MD, Kwon YH, Scheinost D, Constable RT, Chun MM. A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage. 2022 Aug; 257: 119279.
    3. Wang X*, Yoo K*, Chen H, Zou T, Wang H, Gao Q, Meng L, Hu X, Li R. Antagonistic network signature of motor function in Parkinson’s disease revealed by connectome-based predictive modeling. npj Parkinson’s Disease. 2022 Apr; 8: 49.
    4. Kwon YH, Yoo K*, Nguyen H, Jeong Y, Chun MM. Predicting multilingual effects on executive function and individual connectomes in children: an ABCD Study. Proceedings of the National Academy of Sciences of the United States of America (PNAS). 2021 Dec; 118(49): e2110811118. 
    5. Jiang R, Noble S, Sui J, Yoo K, Rosenblatt M, Horien C, Qi S, Liang Q, Sun H, Calhoun VD, Scheinost D. Associations of physical frailty with health outcomes and brain structure in 483,033 middle-aged and older adults: a population-based study from the UK Biobank. The Lancet Digital Health. 2023 June; 5(6): E350-E359.
  • Dongmin Kim
  • Senior Engineer
  • kimdm3119ibs.re.kr

  • Hee-Jun Park
  • Senior Engineer
  • phjunibs.re.kr

CV