Pages that link to "Item:Q1384292"

The following pages link to Analytical and simulation results for stochastic Fitzhugh-Nagumo neurons and neural networks (Q1384292):

Displaying 35 items.

• Path-integral methods for analyzing the effects of fluctuations in stochastic hybrid neural networks (Q282668) (← links)
• Numerical strategies for filtering partially observed stiff stochastic differential equations (Q617480) (← links)
• Analytic approximations of statistical quantities and response of noisy oscillators (Q633745) (← links)
• The interspike interval of a cable model neuron with white noise input (Q759676) (← links)
• Analog simulation of neural information propagation using an electrical FitzHugh--Nagumo lattice (Q1433814) (← links)
• Hypoelliptic stochastic Fitzhugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate (Q1617125) (← links)
• Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise (Q1705138) (← links)
• Synchronization control for reaction-diffusion Fitzhugh-Nagumo systems with spatial sampled-data (Q1797028) (← links)
• Vesicular mechanisms and estimates of firing probability in a network of spiking neurons (Q1811841) (← links)
• Analytical determination of firing times in stochastic nonlinear neural models (Q1852042) (← links)
• Self-similar characteristics of neural networks based on Fokker-Planck equation (Q1878048) (← links)
• A minimal model for synaptic integration in simple neurons (Q2077583) (← links)
• Multiscale analysis for traveling-pulse solutions to the stochastic FitzHugh-Nagumo equations (Q2094567) (← links)
• Dynamical behaviour of a predator-prey system encapsulating the fear affecting death rate of prey and intra-specific competition: revisited in a fluctuating environment (Q2095156) (← links)
• A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: numerical analysis and exploration (Q2120779) (← links)
• Dynamics of a modified Hindmarsh-Rose neural model with random perturbations: moment analysis and firing activities (Q2146806) (← links)
• A path integral approach to the Hodgkin-Huxley model (Q2146860) (← links)
• Ergodicity and spike rate for stochastic FitzHugh-Nagumo neural model with periodic forcing (Q2213642) (← links)
• One dimensional Fokker-Planck reduced dynamics of decision making models in computational neuroscience (Q2443504) (← links)
• Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems (Q2459156) (← links)
• Stochastic bifurcation in FitzHugh-Nagumo ensembles subjected to additive and/or multiplicative noises (Q2477686) (← links)
• Mean field analysis of large-scale interacting populations of stochastic conductance-based spiking neurons using the Klimontovich method (Q2628660) (← links)
• Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes (Q2664757) (← links)
• Effects of noise on the subthreshold dynamics of the FitzHugh-Nagumo model (Q2722367) (← links)
• THE CORRESPONDENCE BETWEEN STOCHASTIC RESONANCE AND BIFURCATION OF MOMENT EQUATIONS OF NOISY NONLINEAR DYNAMICAL SYSTEM (Q3533716) (← links)
• Analytical and Simulation Results for the Stochastic Spatial Fitzhugh-Nagumo Model Neuron (Q3544330) (← links)
• Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model (Q4408920) (← links)
• MODELING THE CUMULATIVE DISTRIBUTION FUNCTION OF SPIKES IN NEURAL NETWORKS (Q4655639) (← links)
• Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise (Q4814196) (← links)
• Analysis of stochastic fitzhugh–nagumo equation for wave propagation in a neuron arising in certain neurobiology models (Q5084233) (← links)
• A Continuous-Time Analysis of Distributed Stochastic Gradient (Q5131162) (← links)
• The Firing of an Excitable Neuron in the Presence of Stochastic Trains of Strong Synaptic Inputs (Q5294327) (← links)
• The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations (Q5380577) (← links)
• Effect of noise on the tuning properties of excitable systems (Q5939064) (← links)
• Classification of musical intervals by spiking neural networks: perfect student in solfége classes (Q6592506) (← links)