Pages that link to "Item:Q2373188"

The following pages link to A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input (Q2373188):

Displaying 50 items.

• Theoretical connections between mathematical neuronal models corresponding to different expressions of noise (Q309126) (← links)
• Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. IV: Structuring synaptic pathways among recurrent connections (Q309504) (← links)
• Stein's neuronal model with pooled renewal input (Q309523) (← links)
• Reconstruction of the input signal of the leaky integrate-and-fire neuronal model from its interspike intervals (Q310131) (← links)
• Modeling neural activity with cumulative damage distributions (Q310175) (← links)
• A leaky integrate-and-fire model with adaptation for the generation of a spike train (Q335074) (← links)
• Successive spike times predicted by a stochastic neuronal model with a variable input signal (Q335076) (← links)
• Fluctuation scaling in neural spike trains (Q335086) (← links)
• A new firing paradigm for integrate and fire stochastic neuronal models (Q335094) (← links)
• Noisy threshold in neuronal models: connections with the noisy leaky integrate-and-fire model (Q338335) (← links)
• The Morris-Lecar neuron model embeds a leaky integrate-and-fire model (Q353094) (← links)
• A variational approach to behavioral and neuroelectrical laws (Q353834) (← links)
• On dependency properties of the ISIs generated by a two-compartmental neuronal model (Q353877) (← 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)
• Information filtering by synchronous spikes in a neural population (Q385283) (← links)
• A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model (Q395698) (← links)
• Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons (Q395721) (← links)
• On a spike train probability model with interacting neural units (Q395724) (← links)
• Modeling some properties of circadian rhythms (Q395738) (← links)
• Finite volume and asymptotic methods for stochastic neuron models with correlated inputs (Q455734) (← links)
• Three generic bistable scenarios of the interplay of voltage pulses and gene expression in neurons (Q459433) (← links)
• Responses of leaky integrate-and-fire neurons to a plurality of stimuli in their receptive fields (Q502301) (← links)
• On the dynamics of random neuronal networks (Q523196) (← links)
• Weak convergence of marked point processes generated by crossings of multivariate jump processes. applications to neural network modeling (Q528850) (← links)
• A fast algorithm for the first-passage times of Gauss-Markov processes with Hölder continuous boundaries (Q643719) (← links)
• Lapicque's 1907 paper: from frogs to integrate-and-fire (Q714169) (← links)
• Activity of excitatory neuron with delayed feedback stimulated with Poisson stream is non-Markov (Q746850) (← links)
• Stochastic stability of a system of perfect integrate-and-fire inhibitory neurons (Q779161) (← links)
• Closed-form solutions for the first-passage-time problem and neuronal modeling (Q891912) (← links)
• A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models (Q999378) (← links)
• Spike-train spectra and network response functions for nonlinear integrate-and-fire neurons (Q999380) (← links)
• Extracting nonlinear integrate-and-fire models from experimental data using dynamic \(I-V\) curves (Q999392) (← links)
• The response of cortical neurons to in vivo-like input current: Theory and experiment (Q999422) (← links)
• Dynamics of a compartmental model integrate-and-fire neuron with somatic potential reset (Q1343302) (← links)
• Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV? (Q1617507) (← links)
• Improved lower bound for the mutual information between signal and neural spike count (Q1627046) (← links)
• How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study (Q1628229) (← links)
• Firing-rate models for neurons with a broad repertoire of spiking behaviors (Q1628358) (← links)
• Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence (Q1631751) (← links)
• Stability of stochastic semigroups and applications to Stein's neuronal model (Q1678318) (← links)
• Dynamics of the exponential integrate-and-fire model with slow currents and adaptation (Q1704829) (← links)
• Statistical structure of neural spiking under non-Poissonian or other non-white stimulation (Q1704904) (← links)
• A mathematical model for period-memorizing behavior in \textit{Physarum} plasmodium (Q1715387) (← links)
• Controlling excitable wave behaviors through the tuning of three parameters (Q1734637) (← links)
• Synchronization of stochastic mean field networks of Hodgkin-Huxley neurons with noisy channels (Q1741555) (← links)
• Integrate and fire model with refractory period for synchronization of two cardiomyocytes (Q1752386) (← links)
• Colored noise and a stochastic fractional model for correlated inputs and adaptation in neuronal firing (Q1799435) (← links)
• Common stochastic inputs induce neuronal transient synchronization with partial reset (Q1982420) (← links)
• Simulating leaky integrate-and-fire neuron with integers (Q1997516) (← links)