Zhuo-Cheng Xiao is an Assistant Professor in Mathematics and Neuroscience at NYU Shanghai. Prior to joining NYU Shanghai, he was a Swartz Fellow at New York University from 2020-2021, and a Courant Instructor at the Courant Institute of Mathematical Sciences, New York University, from 2021-2023.
Dr. Xiao’s research focuses broadly on mathematics and neuroscience. His primary research directions include efficient and realistic computational cortical models, and mathematical theory and computational methods for spiking networks.
Select Publications
Zhang, R; Wang, Z; Wu, T; Cai, Y; Tao, L*; Xiao, Z*; Li Y*. Learning biological neuronal networks with artificial neural networks: neural oscillations. arXiv (2023).
Wu, T; Cai, Y; Tao, L*; Xiao, Z*. Multiband oscillations emerge from a simple spiking network. Chaos: An Interdisciplinary Journal of Nonlinear Science (2023).
Xiao, Z; Lin, KK; Young, LS. Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions. Submitted to PNAS.
Dong, Y; Li, Y; Xiang, X; Xiao, Z; Hu, J; Li, Y; Li, H; Hu, H. Stress relief as a natural resilience mechanism against depression-like behaviors. Neuron (2023).
Xiao, Z*; Lin, KK Efficiency of direct and multilevel Monte Carlo for spiking neuron networks. Journal of Computational Neuroscience (2022).
Education
PhD, Applied Mathematics
University of Arizona, 2020BS, Biology and Mathematics
Peking University, 2016
Mathematics:
- Data-Driven Modeling
- Applied Dynamical Systems
- Coarse-Graining
- Spiking Neural Networks
Neuroscience:
- Computational Neuroscience
- Visual Cortex
- Hippocampus
- Neural Oscillations