… A detailed study of the moments of first-passage time and of … can be interpreted as the neuronal
reversal hyperpolarization … of the Wiener process and of the Ornstein-Uhlenbeck process …

… a one-dimensional stochastic differential equation is assumed to describe the difference in
activity of two competing neuron … method we introduce is also relevant for other applications. …

… We provide details of the queueing theory and neuronal models … first passage time method
for a two dimensional Ornstein-… equivalent to the OrnsteinUhlenbeck process from statistical …

… based on the Ornstein–Uhlenbeck process. The state space of … and variance of the first-passage
time through a constant … neuronal model and Buonocore et al 21 for applications in …

… first-passage times of jump-diffusions X(t) (see eg [Citation2–4], and references therein); in
([Citation5]) it was considered the problem of computing the first-passage time of … process with …

… Ornstein-Uhlenbeck processes whose parameters are modulated by an external two-state
Markov process. … Some results in terms of first passage distributions with applications to neural …

… We determine the convergence behavior of the first passage time as the random … 3 2 e − b
2 s 2 ϵ 2 d s < ∞ … The sample distribution of { T ϵ , y , i } i = 1 n remains the inverse Gaussian …

… particle trajectories is the inverse problem of inferring the … 'excursions' [22], or of first passage
time statistics [23]. Others are … of the approach, challenges in its application to experimental …

… a first passage time (FPT) problem for a stochastic OU process… approximations; numerical
techniques to evaluate this … : Algorithmic approaches and applications to LIF neuronal …

… In our approach lifetime is understood as complete lifetime, … In [12, 35] the possibilities of
applying distributions with a … thermodynamics [2-4], in which flows, quantities inverse to the …