publications

preprint

2024

  1. Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
    Yuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, and Peter L. Bartlett
    2024

Journal Articles

2024

  1. Learning spiking neuronal networks with artificial neural networks: neural oscillations
    Ruilin Zhang, Zhongyi Wang, Tianyi Wu, Yuhang Cai, Louis Tao, and 2 more authors
    Journal of Mathematical Biology, 2024

2023

  1. Multi-band oscillations emerge from a simple spiking network
    Tianyi Wu, Yuhang Cai, Ruilin Zhang, Zhongyi Wang, Louis Tao, and 1 more author
    Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023

2022

  1. Distances between probability distributions of different dimensions
    Yuhang Cai, and Lek-Heng Lim
    IEEE Transactions on Information Theory, 2022

2021

  1. Model reduction captures stochastic gamma oscillations on low-dimensional manifolds
    Yuhang Cai, Tianyi Wu, Louis Tao, and Zhuo-Cheng Xiao
    Frontiers in Computational Neuroscience, 2021