Zhuo-Cheng Xiao, Ph.D.
I am an applied mathematician primarily focused on computational neuroscience.
My primary interests lie in:
The principles of neural computation in brain functions like vision and memory;
theoretical and computational methods for statistical dynamics in neural network models;
Data-driven modeling in neuroscience.
I am a Courant Instructor/Assistant Professor at Courant Institute, NYU.
Before that, I obtained my Ph.D. in the Program in Applied Mathematics at The University of Arizona.
Email: xiao.zc@nyu.edu
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Invited Talks
AMS Sectional Meeting 07/2022. A data-informed mean-field approach to mapping cortical landscapes
SIAM Annual Meeting 07/2022. A data-informed mean-field approach to mapping cortical landscapes
Society for Mathematical Biology 06/2021. A data-informed mean-field approach to mapping cortical landscapes
A Bio Dynamics Days 2021, LMAH-Le Havre Normandie - NYU 06/2021. A data-informed mean-field approach to mapping cortical landscapes
Modeling and Simulation Group Meeting, NYU 04/2021. Model Reduction of Gamma Oscillations
Analysis and Its Applications Seminar, University of Arizona 03/2019. Computational Strategies in Analysis of Hippocampal Data
Modeling and Computation Seminar, University of Arizona 02/2018. Multi-Level Monte Carlo Methods for Spiking Networks