Pages that link to "Item:Q261633"
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The following pages link to On a kinetic FitzHugh-Nagumo model of neuronal network (Q261633):
Displaying 36 items.
- Adaptation and fatigue model for neuron networks and large time asymptotics in a nonlinear fragmentation equation (Q458934) (← links)
- On a linear runs and tumbles equation (Q503013) (← links)
- Analog simulation of neural information propagation using an electrical FitzHugh--Nagumo lattice (Q1433814) (← links)
- Erratum to: ``Propagation of chaos in neural fields'' (Q1617165) (← links)
- Relaxation in time elapsed neuron network models in the weak connectivity regime (Q1731106) (← links)
- Synchronization of stochastic mean field networks of Hodgkin-Huxley neurons with noisy channels (Q1741555) (← links)
- Identification of a free energy functional in an integro-differential equation model for neuronal network activity. (Q1767171) (← links)
- A spin-glass-like Lyapunov function for a neurotrophic model of neuronal development (Q1889042) (← links)
- Uniform semigroup spectral analysis of the discrete, fractional and classical Fokker-Planck equations (Q2011985) (← links)
- The Fokker-Planck equation with subcritical confinement force (Q2036831) (← links)
- The kinetic Fokker-Planck equation with general force (Q2044679) (← links)
- Towards a further understanding of the dynamics in the excitatory NNLIF neuron model: blow-up and global existence (Q2063741) (← links)
- Periodicity induced by noise and interaction in the kinetic mean-field FitzHugh-Nagumo model (Q2240825) (← links)
- Emergence of oscillatory behaviors for excitable systems with noise and mean-field interaction: a slow-fast dynamics approach (Q2297305) (← links)
- Mean-field limit of a spatially-extended Fitzhugh-Nagumo neural network (Q2297618) (← links)
- On a voltage-conductance kinetic system for integrate \& fire neural networks (Q2438128) (← links)
- Mean field analysis of large-scale interacting populations of stochastic conductance-based spiking neurons using the Klimontovich method (Q2628660) (← links)
- Dynamics and synchronization of boundary coupled FitzHugh-Nagumo neural networks (Q2660347) (← links)
- On a modification of the FitzHugh-Nagumo neuron model (Q2940384) (← links)
- Rigorous Derivation of the Nonlocal Reaction-Diffusion Fitzhugh--Nagumo System (Q4621394) (← links)
- Analysis and numerical solver for excitatory-inhibitory networks with delay and refractory periods (Q4631390) (← links)
- Clamping and Synchronization in the Strongly Coupled FitzHugh--Nagumo Model (Q4961120) (← links)
- An explicit nonstandard finite difference scheme for the FitzHugh–Nagumo equations (Q5031730) (← links)
- The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states (Q5136531) (← links)
- An Understanding of the Physical Solutions and the Blow-Up Phenomenon for Nonlinear Noisy Leaky Integrate and Fire Neuronal Models (Q5163897) (← links)
- Global-in-time solutions and qualitative properties for the NNLIF neuron model with synaptic delay (Q5239044) (← links)
- Analysis of a FitzHugh–Nagumo–Rall model of a neuronal network (Q5444932) (← links)
- On quantitative hypocoercivity estimates based on Harris-type theorems (Q5885669) (← links)
- Concentration Phenomena in Fitzhugh–Nagumo Equations: A Mesoscopic Approach (Q5887726) (← links)
- Complex oscillations in the delayed Fitzhugh-Nagumo equation (Q5964856) (← links)
- Dynamics of time elapsed inhomogeneous neuron network model (Q5965093) (← links)
- Large coupling in a FitzHugh-Nagumo neural network: quantitative and strong convergence results (Q6094878) (← links)
- Evolution of neuron firing and connectivity in neuronal plasticity with application to Parkinson's disease (Q6118149) (← links)
- Existence, stability and regularity of periodic solutions for nonlinear Fokker-Planck equations (Q6196000) (← links)
- Concentration profiles in FitzHugh-Nagumo neural networks: a Hopf-Cole approach (Q6201380) (← links)
- A method of moments estimator for interacting particle systems and their mean field limit (Q6554967) (← links)
