Yuhan Chen, Ph.D., Associate Professor

E-mail: yhchen#bnu.edu.cn

RESEARCH INTERESTS

  • Large-scale computational modelling based on the local circuits and the structural connectome to derive the brain activity in the primate brain;

  • Development of human connectomics and its related computational modelling;

  • Basic mechanism underlying the relationship among the brain structural, function and metabolic

EDUCATION

  • 2008.04-2013.07: Ph.D. Computational Neuroscience, Department of Physics, Hong Kong Baptist University

  • 2002.09-2006.06: B.Sc. Theoretical Physics, University of Science and Technology in China

PROFESSIONAL POSITIONS

  • 2023.03-present: Associate Professor, School of Systems Science, Beijing Normal University

  • 2021.09-2023.03: Assistant Professor, School of Systems Science, Beijing Normal University

  • 2015.09-2021.09: Research Assistant Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

  • 2013.07-2015.7: Postdoc, Computational Neuroscience, Department of Physics, Hong Kong Baptist University

  • 2009.04-2009.05:  Research Visitor, Neuroscience, Jacobs University, Bremen, Germany

  • 2006.09-2008.03: Research Assistant, Nonlinear Central, University of Science and Technology in China

FUNDING

  • Relationship among structural connectivity, functions and energy of the human brain revealed by cost-efficiency trade-off model, No. 81601560, 01/2017-12/2019, Role on project: PI.

SELECTED PUBLICATIONS

  • Chen Y, Lin Q, Liao X, Zhou C, He Y (2021) Association of aerobic glycolysis with the structural connectome reveals a benefit-risk balancing mechanism in the human brain. Proc Natl Acad Sci 118(1):e2013232118.

  • Chen Y, Zhang Z, He Y, Zhou C (2020) A large-scale high-density weighted structural connectome of the macaque brain acquired by predicting missing links. Cereb Cortex 30(9):4771-4789.

  • Chen Y, Wang S, Hilgetag CC, Zhou C (2017). Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency. PLoS Comput Biol 13, e1005776.

  • Chen Y, Wang S, Hilgetag CC, Zhou C. Features of the Primate Connectome Revealed by Trade-Off Between Wiring Cost and Efficiency. IEICE Proceedings Series. 2015 Dec 1;47(A2L-A-4).

  • Chen Y, Wang S, Hilgetag CC, Zhou C (2013) Trade-off between multiple constraints enables simultaneous formation of modules and hubs in neural systems. PLoS Comput Biol 9(3):e1002937.

  • Chen Y, Wang B, Zhao L, Zhou C, Zhou T. Optimal transport on supply-demand networks. Physical Review E. 2010 Jun 4;81(6):066105.

  • Zhao M, Zhou C, Chen Y, Hu B, Wang BH (2010) Complexity versus modularity and heterogeneity in oscillatory networks: combining segregation and integration in neural systems. Phys Rev E 82(4 Pt 2):046225.

  • Zamoralópez G, Chen Y, Deco G, Kringelbach ML, Zhou C (2016) Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs. Sci Rep 6:38424.