Republished: Dynamics of stochastic integrate-and-fire networks

GK Ocker - Physical Review X, 2023 - APS
The neural dynamics generating sensory, motor, and cognitive functions are commonly
understood through field theories for neural population activity. Classic neural field theories …

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

JA Carrillo, X Dou, Z Zhou - SIAM Journal on Mathematical Analysis, 2024 - SIAM
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 …

RETRACTED: Dynamics of Stochastic Integrate-and-Fire Networks

GK Ocker - Physical Review X, 2022 - APS
The neural dynamics generating sensory, motor, and cognitive functions are commonly
understood through field theories for neural population activity. Classic neural field theories …

Weak Convergence Analysis of Online Neural Actor-Critic Algorithms

SCH Lam, J Sirignano, Z Wang - arXiv preprint arXiv:2403.16825, 2024 - arxiv.org
We prove that a single-layer neural network trained with the online actor critic algorithm
converges in distribution to a random ordinary differential equation (ODE) as the number of …

A Synchronization-Capturing Multiscale Solver to the Noisy Integrate-and-Fire Neuron Networks

Z Du, Y Xie, Z Zhou - Multiscale Modeling & Simulation, 2024 - SIAM
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 …

Dilating blow-up time: A generalized solution of the NNLIF neuron model and its global well-posedness

X Dou, Z Zhou - arXiv preprint arXiv:2206.06972, 2022 - arxiv.org
The nonlinear noisy leaky integrate-and-fire (NNLIF) model is a popular mean-field
description of a large number of interacting neurons, which has attracted mathematicians to …

A spectral method for a Fokker-Planck equation in neuroscience with applications in neural networks with learning rules

P Zhang, Y Wang, Z Zhou - arXiv preprint arXiv:2305.00275, 2023 - arxiv.org
In this work, we consider the Fokker-Planck equation of the Nonlinear Noisy Leaky Integrate-
and-Fire (NNLIF) model for neuron networks. Due to the firing events of neurons at the …

A Structure Preserving Numerical Scheme for Fokker--Planck Equations of Structured Neural Networks with Learning Rules

Q He, J Hu, Z Zhou - SIAM Journal on Scientific Computing, 2022 - SIAM
In this work, we are concerned with a Fokker--Planck equation related to the nonlinear noisy
leaky integrate-and-fire model for biological neural networks which are structured by the …

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

JA Carrillo de la Plata, X Dou, Z Zhou - SIAM Journal on Mathematical …, 2023 - ora.ox.ac.uk
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 …

Noisy integrate-and-fire equation: continuation after blow-up

XA Dou, B Perthame, D Salort, Z Zhou - arXiv preprint arXiv:2409.14749, 2024 - arxiv.org
The integrate and fire equation is a classical model for neural assemblies which can exhibit
finite time blow-up. A major open problem is to understand how to continue solutions after …