Creating innovative bio-convergent technologies for better human life

[크기변환]Kang_crop.png
강형률(Yul HR Kang)
homepage
  • 조교수
  • 연구실: E16-1, 507호
  • 연구실명: 계산뇌인지과학 연구실 (Computational Cognitive Neuroscience Lab)
  • +82-42-350-4335
  • yulkang@kaist.ac.kr
최종학위
  • 2018 Columbia University 뇌과학 박사
연구분야

계산뇌인지과학, 길찾기, 의사결정, 학습, 기억

경력
  • 2023-현재

    Assistant Professor, Department of Bio and Brain Engineering, KAIST, South Korea

  • 2022-2023

    Lecturer (= Assistant Professor), Department of Biological and Experimental Psychology, Queen Mary University of London, UK

  • 2019-2022

    Junior Research Fellow, Wolfson College, University of Cambridge, UK

  • 2018-2022

    Research Associate, Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, UK

대외활동 수상 실적
  • Cosyne Presenters Travel Grant, 2020
  • Excellent Poster, Korean Society for Computational Neuroscience, 2014
대표 연구실적
  • 1. Kang YHR, Wolpert DM, Lengyel M (2021), Spatial uncertainty and environmental geometry in navigation, Bernstein Conference Oral Presentation
  • 2. Kang YHR, Löffler A, Jeurissen D, Zylberberg A, Wolpert DM, Shadlen MN (2021), Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation. eLife 10, e63721.
  • 3. Kang YHR, Petzschner FH, Wolpert DM, and Shadlen MN (2017), Piercing of consciousness as a threshold crossing operation. Current Biology 27 (15). doi.org/10.1016/j.cub.2017.06.047