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20182022
most citedInvestigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective

3 citations · 11 across the 7 of their papers we have counts for

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5 papers · 1 filter

math.AP20223 cited

A simplified voltage-conductance kinetic model for interacting neurons and its asymptotic limit

José A. Carrillo, Xu'an Dou, Zhennan Zhou

The voltage-conductance kinetic model for the collective behavior of neurons has been studied by scientists and mathematicians for two decades, but the rigorous analysis of its sol…

math.AP2022

Bounds and long term convergence for the voltage-conductance kinetic system arising in neuroscience

Xu'An Dou, Benoît Perthame, Delphine Salort +1

The voltage-conductance equation determines the probability distribution of a stochastic process describing a fluctuation-driven neuronal network arising in the visual cortex. Its…

math.AP20222 cited

Exponential convergence to equilibrium for a two-speed model with variant drift fields via the resolvent estimate

Xu'an Dou, Zhennan Zhou

We study a two-speed model with variant drift fields, which generalizes the Goldstein-Taylor model but the two advection fields are not necessarily in proportion. Due to the lack o…

math.AP2019

Field model for complex ionic fluids: analytical properties and numerical investigation

Jian-Guo Liu, Jinhuan Wang, Yu Zhao +1

In this paper, we consider the field model for complex ionic fluids with an energy variational structure, and analyze the well-posedness to this model with regularized kernels. Fur…

math.AP20192 cited

Towards understanding the boundary propagation speeds in tumor growth models

Jian-Guo Liu, Min Tang, Li Wang +1

At the continuous level, we consider two types of tumor growth models: the cell density model, which is based on the fluid mechanical construction, is more favorable for scientific…