| A computational approach to first-passage-time problems for Gauss–Markov processes E Di Nardo, AG Nobile, E Pirozzi, LM Ricciardi Advances in Applied Probability 33 (2), 453-482, 2001 | 157 | 2001 |
| The first passage time problem for Gauss-diffusion processes: algorithmic approaches and applications to LIF neuronal model A Buonocore, L Caputo, E Pirozzi, LM Ricciardi Methodology and Computing in Applied Probability 13, 29-57, 2011 | 52 | 2011 |
| On a stochastic leaky integrate-and-fire neuronal model A Buonocore, L Caputo, E Pirozzi, LM Ricciardi Neural computation 22 (10), 2558-2585, 2010 | 35 | 2010 |
| A leaky integrate-and-fire model with adaptation for the generation of a spike train A Buonocore, L Caputo, E Pirozzi, MF Carfora Mathematical Biosciences & Engineering 13 (3), 483-493, 2015 | 34 | 2015 |
| Restricted Ornstein–Uhlenbeck process and applications in neuronal models with periodic input signals A Buonocore, L Caputo, AG Nobile, E Pirozzi Journal of Computational and Applied Mathematics 285, 59-71, 2015 | 33 | 2015 |
| Colored noise and a stochastic fractional model for correlated inputs and adaptation in neuronal firing E Pirozzi Biological cybernetics 112, 25-39, 2018 | 31 | 2018 |
| Asymptotics and evaluations of FPT densities through varying boundaries for Gauss-Markov processes AG Nobile, E Pirozzi, LM Ricciardi Scientiae Mathematicae Japonicae 67 (2), 241-266, 2008 | 31 | 2008 |
| On two diffusion neuronal models with multiplicative noise: The mean first-passage time properties G D'Onofrio, P Lansky, E Pirozzi Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (4), 2018 | 29 | 2018 |
| A note on the sum of uniform random variables A Buonocore, E Pirozzi, L Caputo Statistics & probability letters 79 (19), 2092-2097, 2009 | 28 | 2009 |
| Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons A Buonocore, L Caputo, E Pirozzi, MF Carfora Mathematical Biosciences & Engineering 11 (2), 189-201, 2013 | 26 | 2013 |
| Fractional Ornstein-Uhlenbeck process with stochastic forcing, and its applications G Ascione, Y Mishura, E Pirozzi Methodology and Computing in Applied Probability 23, 53-84, 2021 | 24 | 2021 |
| Successive spike times predicted by a stochastic neuronal model with a variable input signal G D'Onofrio, E Pirozzi Mathematical Biosciences and Engineering 13 (3), 495-507, 2016 | 24 | 2016 |
| Closed-form solutions for the first-passage-time problem and neuronal modeling A Buonocore, L Caputo, G D’Onofrio, E Pirozzi Ricerche di Matematica 64, 421-439, 2015 | 24 | 2015 |
| Gauss–Markov processes in the presence of a reflecting boundary and applications in neuronal models A Buonocore, L Caputo, AG Nobile, E Pirozzi Applied Mathematics and Computation 232, 799-809, 2014 | 24 | 2014 |
| On the exit time from open sets of some semi-Markov processes G Ascione, E Pirozzi, B Toaldo | 21 | 2020 |
| Fractional queues with catastrophes and their transient behaviour G Ascione, N Leonenko, E Pirozzi Mathematics 6 (9), 159, 2018 | 21 | 2018 |
| Fractional Erlang queues G Ascione, N Leonenko, E Pirozzi Stochastic Processes and their Applications 130 (6), 3249-3276, 2020 | 18 | 2020 |
| A state-dependent queueing system with asymptotic logarithmic distribution V Giorno, AG Nobile, E Pirozzi Journal of Mathematical Analysis and Applications 458 (2), 949-966, 2018 | 18 | 2018 |
| Integrated stationary Ornstein–Uhlenbeck process, and double integral processes M Abundo, E Pirozzi Physica A: Statistical Mechanics and its Applications 494, 265-275, 2018 | 17 | 2018 |
| Simulation of Gaussian processes and first passage time densities evaluation E Di Nardo, AG Nobile, E Pirozzi, LM Ricciardi, S Rinaldi International Conference on Computer Aided Systems Theory, 319-333, 1999 | 17 | 1999 |