Pages that link to "Item:Q658997"
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The following pages link to A discrete time neural network model with spiking neurons. II: Dynamics with noise (Q658997):
Displaying 16 items.
- A stochastic system with infinite interacting components to model the time evolution of the membrane potentials of a population of neurons (Q300614) (← links)
- Infinite systems of interacting chains with memory of variable length -- a stochastic model for biological neural nets (Q358679) (← links)
- A discrete dynamical system as a model of a neural network with generalized Hebbian synapses (Q557854) (← links)
- How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation (Q841142) (← links)
- A discrete time neural network model with spiking neurons (Q938137) (← links)
- Impact of network activity on noise delayed spiking for a Hodgkin-Huxley model (Q978695) (← links)
- Spike-train spectra and network response functions for nonlinear integrate-and-fire neurons (Q999380) (← links)
- Dynamics of the noisy neural network (Q1376168) (← links)
- Oscillations and irregular emission in networks of linear spiking neurons (Q1395654) (← links)
- On the potential role of lateral connectivity in retinal anticipation (Q2040395) (← links)
- Hopf bifurcation in a mean-field model of spiking neurons (Q2243925) (← links)
- Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses (Q2451077) (← links)
- Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method (Q3301544) (← links)
- ON–OFF INTERMITTENCY IN SMALL NEURAL NETWORKS WITH TIME-DEPENDENT SYNAPTIC NOISE (Q4941630) (← links)
- Stochastic Dynamics of a Finite-Size Spiking Neural Network (Q5441736) (← links)
- Analysis of Spike Statistics in Neuronal Systems with Continuous Attractors or Multiple, Discrete Attractor States (Q5474564) (← links)
