Kai Chen 陈开

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Computational Neuroscienist
Applied Math PhD Candidate
Amateur Powerlifter

I’m interested in studying the brain 🧠.

I’m a fan of technical stuffs and programming 👨🏻‍💻.

I’m an amateur powerlifter 🏋🏻‍♂️.

I love road cycling 🚴🏻‍♂️.

Currently, I’m an applied mathematics PhD candidate from the Lab of Computational Neuroscience at Institute of Natural Science, Shanghai Jiao Tong University, under the supervision of Prof. Douglas Zhou.

Before that, I studied physics in the master program at Shanghai Jiao Tong University.

Before that, I also studied physics and got my bachelor degree in physics at Shanghai Jiao Tong University.

Research Interests: Computational Neuroscience, Machine Learning, Applied Mathematics.

  • Network dynamics and computations.
    1. How perception and cognition conducted through multi-regional network dynamics in brain.
    2. The relationship between network connectivity, network dynamics, and network functions.
    3. Biologically plausible learning rules for recurrent neural networks.
  • Neural coding and data analysis.
    1. Linking structural, functional, and effective connectivity using multi-modal neural data.
    2. The principle underlying spike temporal coding

news

January 18, 2025 New poster on the fourth Symposium on Neural Computation and Beyond
December 24, 2024 Recent work about multi-area RNN has been accepted as a poster at COSYNE 2025.:tada:
September 28, 2024 New poster on Annual meeting of Chinese Neuroscience Society (2024)
March 29, 2024 New paper published on PNAS :sparkles: :smile:
August 25, 2023 New poster on ICIAM2023 :sparkles: :smile:

selected publications

  1. PNAS
    Causal Connectivity Measures for Pulse-Output Network Reconstruction: Analysis and Applications
    Zhong-qi K. Tian, Kai Chen, Songting Li, and 2 more authors
    Proceedings of the National Academy of Sciences, Apr 2024