简历

基本信息

姓名 陈开
语言 普通话,英语

教育背景

  • 2020-now
    数学博士(应用数学)
    上海交通大学,上海,中国
  • 2018-2020
    物理学硕士
    上海交通大学,上海,中国
  • 2013-2017
    物理学学士(国际班)
    上海交通大学,上海,中国

口头报告

  • 2023
    Quantitative relations among causality measures with applications to nonlinear network reconstruction
    • SIAM-DS23, Portland, Oregon, USA
  • 2022
    Quantitative relations among causality measures with applications to nonlinear pulse-output network reconstruction
    • CSIAM2022, online
  • 2021
    Modeling Attentional Modulated Spike Count Correlation in Macaque V1
    • CCCN2021, online

墙报展示

  • 2023/08
    Quantitative relations among causality measures with applications to nonlinear pulse-coupled network reconstruction
    • ISIAM2023, Waseda University, Tokyo, Japan
  • 2023/07
    Quantitative relations among causality measures with applications to nonlinear pulse-coupled network reconstruction
    • CNS2023, Zhuhai, China
  • 2022/06
    Quantitative relations among causality measures with applications to nonlinear pulse-output network reconstruction
    • CCCN2022, online
  • 2021/06
    Modeling Attentional Modulated Spike Count Correlation in Macaque V1
    • CCCN2021, online

获奖情况

  • 2025
    • Cosyne New Attendee Travel Grant in COSYNE 2025
  • 2021
    • Best Poster Award in The 3rd Chinese Computational and Cognitive Neuroscience Conference
  • 2017
    • 上海交通大学优秀毕业生
  • 2016
    • 本科生国家奖学金
    • Successful Participant in COMAP's Mathematical Contest in Modeling
  • 2015
    • Second Prize in National Mathematical Contest in Modeling
    • Champion in Shanghai Mathematical Contest in Modeling
  • 2014
    • 上海交通大学留园奖学金
    • Champion in Shanghai Undergraduate Physicists' Tournament

研究课题

  • 2023/10-now
    Neural Mechanism Underlying CDM in Dual-area Low-rank Recurrent Neural Networks
    Shanghai Jiao Tong University, SHANGHAI
  • 2021/09-2023/12
    Causal Connectivity Measures for Pulse-output Network Reconstruction
    Shanghai Jiao Tong University, SHANGHAI
  • 2022/12-now
    Computational Mechanism of task-oriented Reservoir Recurrent Neural Networks
    Shanghai Jiao Tong University, SHANGHAI
  • 2021/01-now
    Effective Inference of Functional Connectivity from ECoG Data Using TDMI
    Shanghai Jiao Tong University, SHANGHAI
  • 2019/12-now
    Modeling Attentional Modulated Spike Count Correlation in Macaque V1
    Shanghai Jiao Tong University, SHANGHAI
  • 2017/07-2018/12
    Causal Inference of Neuronal Data Based on Time-delayed Mutual Information
    Shanghai Jiao Tong University, SHANGHAI
  • 2016/02-2017/06
    Study of Network Dynamics Based on Integrate-and-Fire Neuron Model
    Shanghai Jiao Tong University, SHANGHAI
  • 2014/09-2015/06
    Coherent Diffraction Imaging of Micro-Scale Samples
    Shanghai Jiao Tong University, SHANGHAI
  • 2016/08 - 2016/09
    Femtosecond Pump-probe Spectroscopy of Protein Photosynthesis
    University of California, Davis, DAVIS, CA