My research interest is mainly focused on employing mathematical techniques and models to answer neuroscience questions. So far, I have solved the structures of dynamical system for Synchronized-fire Chain in my undergraduate years, advised by Prof. Louis Tao.
I am currently working on 2 projects:
- Reduced models for neural networks;
- Principles of neural computation for memory, based on data from hippocampus, co-advised by Prof. Jean-Marc Fellous.
Beside my research, I'm also interested in using language from dynamics and statistics to describe emergent phenomena in social sciences, such as economy, sociology, and history.
Xiao, Z.; Lin, K.K.; Fellous, JM. The Sequential Similarity of Firing Patterns between Task and Sleep. In Preparation
Xiao, Z.; Lin, K.K.; Fellous, JM. Conjunctive Reward-Place Coding Properties of Dorsal Distal CA1 Hippocampus Cells. Submitted. Available upon request.
Dong, Y.; Wang, J.; Xiao, Z.; Hu, H. Relief as a natural resilience mechanism against depression, Submitted.
Xiao, Z.; Lin, K.K. A Multi-Level Monte Carlo Algorithm for Integrate-Fire Neuron Network. In Preparation.
Xiao, Z.; Wang, B.; Sornborger, A.; Tao, L. Mutual Information and Information Gating in Synfire Chains. Entropy 2018, 20(2), 102.
Xiao, Z.; Zhang, J.; Sornborger, A.; Tao, L. Cusps enable line attractors for neural computation. Phys. Rev. E 2017, 96, 052308.
Wang, C.; Xiao, Z.; Wang, Z.; Sornborger, A.; Tao, L. A Fokker-Planck approach to graded information propagation in pulse-gated feed-forward neuronal networks. arXiv:1512.00520.