… –Kutta algorithm and the first passage times (FPTs) are recorded… ie, Ornstein–Uhlenbeck
process) with effective noise correlation … (2 − q)τ/(5 − 3q) and D eff = [2(2 − q)/(5 − 3q)] 2 D. Both …

… a new duality approach to the inverse method of images … are also applications in biology
for the modelling of neuronal … Ornstein-Uhlenbeck process he shows that for large t it holds …

… using recent progress in firstpassage time theory. … neurons), and apply a technique from
Stratonovic [31] using stochastic equivalence to transform Vp to an Ornstein-Uhlenbeck process …

… of view, focusing on our biomedical field of applications, Y(t) … process, the negative log-likelihood
based on the inverse … over other approaches, for example neural networks, is in the …

… the collective behaviors in a neural network by developing a variety … D 1 + m c D 1 2 + τ 2 e
2 2 D 1 − c − e 2 D 1 − 3 m c τ 2 e + m … MET is similar to the mean first passage time (MFPT) in …

… compare to an Ornstein–Uhlenbeck process with the same … the firing rate of the quadratic
integrate-and-fire neuron [5, 24]. … is then given by the inverse of the mean first-passage time: …

… the time axis and the path of the process \(\mathcal{X} (t)\) up to the first-passage time through
… of the first-passage time and the first-passage area, and their single and joint moments. …

… Our methodology learns neural, continuous-time … was generated by applying a voltage drop
of 140 mV, and … the estimated mean-first passage times. NeuralMJP infers shorter transition …

… their numerical comparisons with inverse Laplace transform … In the second step, we apply
perturbations on ϵ and find … Later the process appeared widely in neural science [32], [54] …

… In fact, first passage times, ie the time needed to jump between … of the original twodimensional
system (2). Despite the fact that … Indeed, one possible application of our results is system …