Pages that link to "Item:Q3149508"

The following pages link to Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons (Q3149508):

Displaying 50 items.

• 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)
• Information filtering by synchronous spikes in a neural population (Q385283) (← links)
• A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics (Q630334) (← links)
• Stability of bumps in a two-population neural-field model with quasi-power temporal kernels (Q660710) (← links)
• Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron (Q776543) (← links)
• Complementary responses to mean and variance modulations in the perfect integrate-and-fire model (Q843250) (← links)
• The response of cortical neurons to in vivo-like input current: theory and experiment. II: Time-varying and spatially distributed inputs (Q999421) (← links)
• The response of cortical neurons to in vivo-like input current: Theory and experiment (Q999422) (← links)
• Variable synaptic strengths controls the firing rate distribution in feedforward neural networks (Q1628215) (← links)
• Statistical structure of neural spiking under non-Poissonian or other non-white stimulation (Q1704904) (← links)
• The dynamics of memory retrieval in hierarchical networks (Q1704979) (← links)
• Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise (Q1705138) (← links)
• Colored noise and a stochastic fractional model for correlated inputs and adaptation in neuronal firing (Q1799435) (← links)
• Vesicular mechanisms and estimates of firing probability in a network of spiking neurons (Q1811841) (← links)
• Fractionally integrated Gauss-Markov processes and applications (Q2038125) (← links)
• Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach (Q2069021) (← links)
• Monosynaptic inference via finely-timed spikes (Q2137313) (← links)
• On a stochastic neuronal model integrating correlated inputs (Q2160831) (← links)
• Cross-correlations and joint gaussianity in multivariate level crossing models (Q2251594) (← links)
• Editorial for the special issue on uncertainty in the brain (Q2251595) (← links)
• A density model for a population of theta neurons (Q2251603) (← links)
• Integrate-and-fire neurons driven by asymmetric dichotomous noise (Q2342577) (← links)
• A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties (Q2373054) (← links)
• A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input (Q2373188) (← 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)
• On the application of ``equation-free modelling'' to neural systems (Q2500130) (← links)
• Pooled spike trains of correlated presynaptic inputs as realizations of cluster point processes (Q2500211) (← links)
• The most likely voltage path and large deviations approximations for integrate-and-fire neurons (Q2500243) (← links)
• Neuron firing in driven nonlinear integrate-and-fire models (Q2643363) (← links)
• Fast voltage dynamics of voltage-conductance models for neural networks (Q2660147) (← links)
• Antireliability of noise-driven neurons (Q2903684) (← links)
• The Dynamics of Integrate-and-Fire: Mean Versus Variance Modulations and Dependence on Baseline Parameters (Q3015452) (← links)
• A Systematic Method for Configuring VLSI Networks of Spiking Neurons (Q3116937) (← links)
• Minimal Models of Adapted Neuronal Response to <i>In Vivo</i>–Like Input Currents (Q3160479) (← links)
• One-Dimensional Population Density Approaches to Recurrently Coupled Networks of Neurons with Noise (Q3196649) (← links)
• Beyond mean field theory: statistical field theory for neural networks (Q3301539) (← links)
• First-firing statistics of a neuron bombarded by additive coloured noise: stochastic averaging method (Q3518542) (← links)
• Stability of discrete memory states to stochastic fluctuations in neuronal systems (Q3531618) (← links)
• Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations (Q3568378) (← links)
• A VIEW OF NEURAL NETWORKS AS DYNAMICAL SYSTEMS (Q3586870) (← links)
• A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States (Q3612107) (← links)
• Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach (Q3612124) (← links)
• Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron (Q4461323) (← links)
• Jump locations of jump-diffusion processes with state-dependent rates (Q4595430) (← links)
• Analysis and numerical solver for excitatory-inhibitory networks with delay and refractory periods (Q4631390) (← links)
• Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model (Q4664510) (← links)
• Rate Models for Conductance-Based Cortical Neuronal Networks (Q4814199) (← links)
• On the Phase Reduction and Response Dynamics of Neural Oscillator Populations (Q4819811) (← links)
• Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate (Q4823750) (← links)