Pages that link to "Item:Q631481"
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The following pages link to The first passage time problem for Gauss-diffusion processes: algorithmic approaches and applications to LIF neuronal model (Q631481):
Displaying 28 items.
- Stochastic modeling of the firing activity of coupled neurons periodically driven (Q260747) (← links)
- Successive spike times predicted by a stochastic neuronal model with a variable input signal (Q335076) (← links)
- Approximation of the first passage time density of a Wiener process to an exponentially decaying boundary by two-piecewise linear threshold. Application to neuronal spiking activity (Q335096) (← links)
- On the reflected Ornstein-Uhlenbeck process with catastrophes (Q387693) (← links)
- Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons (Q395721) (← links)
- A note on the first passage time of diffusions with holding and jumping boundary (Q395965) (← links)
- Two-boundary first exit time of Gauss-Markov processes for stochastic modeling of acto-myosin dynamics (Q529590) (← links)
- A fast algorithm for the first-passage times of Gauss-Markov processes with Hölder continuous boundaries (Q643719) (← links)
- Closed-form solutions for the first-passage-time problem and neuronal modeling (Q891912) (← links)
- Gauss-Markov processes in the presence of a reflecting boundary and applications in neuronal models (Q1646179) (← links)
- Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods (Q1653357) (← links)
- Colored noise and a stochastic fractional model for correlated inputs and adaptation in neuronal firing (Q1799435) (← links)
- A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss-Markov (Q1932763) (← links)
- The inverse first passage time method for a two dimensional Ornstein Uhlenbeck process with neuronal application (Q2045589) (← links)
- Integrated stationary Ornstein-Uhlenbeck process, and double integral processes (Q2150122) (← links)
- On a stochastic neuronal model integrating correlated inputs (Q2160831) (← links)
- An optimal Gauss-Markov approximation for a process with stochastic drift and applications (Q2229551) (← links)
- Fractional Ornstein-Uhlenbeck process with stochastic forcing, and its applications (Q2241497) (← links)
- Gaussian processes and neuronal modeling (Q2461293) (← links)
- On the exit time from open sets of some semi-Markov processes (Q2657906) (← links)
- A model for residual life prediction based on Brownian motion in framework of similarity (Q2821276) (← links)
- Improved Integral Equation Solution for the First Passage Time of Leaky Integrate-and-Fire Neurons (Q3083631) (← links)
- First passage times for some classes of fractional time-changed diffusions (Q5085217) (← links)
- The Fokker–Planck equation for the time-changed fractional Ornstein–Uhlenbeck stochastic process (Q5094465) (← links)
- A phase transition in the first passage of a Brownian process through a fluctuating boundary with implications for neural coding (Q5171003) (← links)
- Simulation of sample paths for Gauss-Markov processes in the presence of a reflecting boundary (Q5193442) (← links)
- Influence maximization algorithm based on Gaussian propagation model (Q6086341) (← links)
- A review of stochastic models of neuronal dynamics: from a single neuron to networks (Q6606789) (← links)
