activity
20192023
most citedInvestigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2023

A synchronization-capturing multi-scale solver to the noisy integrate-and-fire neuron networks

Ziyu Du, Yantong Xie, Zhennan Zhou

The noisy leaky integrate-and-fire (NLIF) model describes the voltage configurations of neuron networks with an interacting many-particles system at a microscopic level. When simul…

math.NA2021

Frozen Gaussian Sampling: A Mesh-free Monte Carlo Method For Approximating Semiclassical Schrödinger Equations

Yantong Xie, Zhennan Zhou

In this paper, we develop a Monte Carlo algorithm named the Frozen Gaussian Sampling (FGS) to solve the semiclassical Schrödinger equation based on the frozen Gaussian approximatio…

math.PR2021★ 3 cited

Investigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective

Jian-Guo Liu, Ziheng Wang, Yantong Xie +2

In the mean field integrate-and-fire model, the dynamics of a typical neuron within a large network is modeled as a diffusion-jump stochastic process whose jump takes place once th…

math.PR2020★ 5 cited

Investigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective

Jian-Guo Liu, Ziheng Wang, Yantong Xie +2

In the mean field integrate-and-fire model, the dynamics of a typical neuron within a large network is modeled as a diffusion-jump stochastic process whose jump takes place once th…

math.NA2019★ 1 cited

A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: numerical analysis and exploration

Jingwei Hu, Jian-Guo Liu, Yantong Xie +1

In this work, we are concerned with the Fokker-Planck equations associated with the Nonlinear Noisy Leaky Integrate-and-Fire model for neuron networks. Due to the jump mechanism at…