Pages that link to "Item:Q2496605"

The following pages link to Kinetic theory for neuronal network dynamics (Q2496605):

Displaying 34 items.

• The role of fluctuations in coarse-grained descriptions of neuronal networks (Q357514) (← links)
• Population density models of integrate-and-fire neurons with jumps: well-posedness (Q365686) (← links)
• Synchronization of an excitatory integrate-and-fire neural network (Q376450) (← links)
• Dynamics of spiking neurons: between homogeneity and synchrony (Q385304) (← links)
• A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics (Q630334) (← links)
• Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics (Q870585) (← links)
• On the simulation of large populations of neurons. (Q1599177) (← links)
• Distribution of correlated spiking events in a population-based approach for integrate-and-fire networks (Q1704763) (← links)
• A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony (Q1704824) (← links)
• Dimensional reduction of a V1 ring model with simple and complex cells (Q1732595) (← links)
• How well do reduced models capture the dynamics in models of interacting neurons? (Q1738013) (← links)
• High order WENO finite volume approximation for population density neuron model (Q2009535) (← links)
• Noise-driven bifurcations in a neural field system modelling networks of grid cells (Q2081404) (← links)
• Mean-field and kinetic descriptions of neural differential equations (Q2148968) (← links)
• Towards a mathematical model of the brain (Q2194171) (← links)
• Nonstationary shot noise modeling of neuron membrane potentials by closed-form moments and Gram-Charlier expansions (Q2226393) (← links)
• A density model for a population of theta neurons (Q2251603) (← links)
• Synchrony and asynchrony in a fully stochastic neural network (Q2271880) (← links)
• Stochastic neural field model: multiple firing events and correlations (Q2330605) (← links)
• A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs (Q2418439) (← links)
• Synchrony and asynchrony for neuronal dynamics defined on complex networks (Q2429430) (← 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)
• Fast voltage dynamics of voltage-conductance models for neural networks (Q2660147) (← links)
• (Q3137308) (← links)
• Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network Dynamics (Q5023538) (← links)
• Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems (Q5270685) (← links)
• A Principled Dimension-Reduction Method for the Population Density Approach to Modeling Networks of Neurons with Synaptic Dynamics (Q5378272) (← links)
• Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling (Q5440962) (← links)
• Bounds and long term convergence for the voltage-conductance kinetic system arising in neuroscience (Q6102544) (← links)
• Reconstruction of sparse recurrent connectivity and inputs from the nonlinear dynamics of neuronal networks (Q6172460) (← links)
• Learning spiking neuronal networks with artificial neural networks: neural oscillations (Q6494226) (← links)
• A voltage-conductance kinetic system from neuroscience: probabilistic reformulation and exponential ergodicity (Q6586964) (← links)
• Wasserstein contraction for the stochastic Morris-Lecar neuron model (Q6657889) (← links)