Rchr
J-GLOBAL ID:202001018708923799   Update date: Mar. 06, 2023

Cai Mingbo

Cai Mingbo
Affiliation and department:
Job title: Assistant Professor & Principal Investigator
Homepage URL  (1): https://ircn.jp/en/mission/people/mingbo-cai
Research field  (5): Experimental psychology ,  Neuroscience - general ,  Computational science ,  Biomedical engineering ,  Experimental psychology
Research keywords  (7): Reinforcement Learning ,  spontaneous activity ,  Decision Making ,  fMRI ,  Machine Learning ,  Bayesian Models ,  Time Perception
Research theme for competitive and other funds  (2):
  • 2021 - 2024 The role of dynamic neural functional coupling in spontaneous thought
  • 2020 - 2022 Decoding spontaneous thoughts and investigating its dynamics with brain imaging, and developing novel algorithm for multi-echo fMRI
Papers (14):
  • Mingyu Song, Persis A. Baah, Ming Bo Cai, Yael Niv. Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning. PLOS Computational Biology. 2022
  • Manoj Kumar, Michael J Anderson, James W Antony, Christopher Baldassano, Paula P Brooks, Ming Bo Cai, Po-Hsuan Cameron Chen, Cameron T Ellis, Gregory Henselman-Petrusek, David Huberdeau, et al. BrainIAK: The Brain Imaging Analysis Kit. Aperture neuro. 2021. 1. 4
  • Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu. Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. Neuropsychologia. 2020
  • Cameron T Ellis, Christopher Baldassano, Anna C Schapiro, Ming Bo Cai, Jonathan D Cohen. Facilitating open-science with realistic fMRI simulation: validation and application. PeerJ. 2020. 8. e8564
  • Ming Bo Cai, Nicolas W Schuck, Jonathan W Pillow, Yael Niv. Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. PLoS computational biology. 2019. 15. 5. e1006299
more...
Education (3):
  • 2009 - 2015 Baylor College of Medicine Neuroscience PhD in Neuroscience
  • 2004 - 2008 Peking University Department of Psychology B.S. in Psychology (double major)
  • 2004 - 2008 Peking University School of Electronics Engineering and Computer Science B.S. in Electronics and Information Science and Technology
Work history (3):
  • 2021/04 - 現在 The University of Tokyo International Research Center for Neurointelligence Assistant Professor & Principal Investigator
  • 2019/12 - 2021/03 The University of Tokyo International Research Center for Neurointelligence Project Assistant Professor & Principal Investigator
  • 2015/06 - 2019/12 Princeton University Princeton Neuroscience Institute Postdoctoral Research Associate
Awards (1):
  • 2021/04 - The University of Tokyo Excellent Young Researcher
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