On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. - Petr Lánský; Laura Sacerdote; Francesca Tomassetti (Biol. Cybern., 1995)

A qualitative comparison of some diffusion models for neural activity via stochastic ordering. - Laura Sacerdote; Charles E. Smith (Biol. Cybern., 2000)

Noise induced phenomena in jump diffusion models for single neuron spike activity. - Roberta Sirovich; Laura Sacerdote (IJCNN, 2004)

Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate. - Petr Lánský; Roger Rodriguez; Laura Sacerdote (Neural Comput., 2004)

Inverse First Passage Time Method in the Analysis of Neuronal Interspike Intervals of Neurons Characterized by Time Varying Dynamics. - Laura Sacerdote; Cristina Zucca (BVAI, 2005)

Ghost Stochastic Resonance for a Neuron with a Pair of Periodic Inputs. - Maria Teresa Giraudo; Laura Sacerdote; Alessandro Sicco (BVAI, 2007)

Input Identification in the Ornstein-Uhlenbeck Neuronal Model with Signal Dependent Noise. - Laura Sacerdote; Cristina Zucca; Petr Láanskáy (BVAI, 2007)

Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons. - Roberta Sirovich; Laura Sacerdote; Alessandro E. P. Villa (IWANN, 2007)

How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold. - Maria Teresa Giraudo; Priscilla E. Greenwood; Laura Sacerdote (Neural Comput., 2011)

On dependency properties of the ISIs generated by a two-compartmental neuronal model. - Elisa Benedetto; Laura Sacerdote (Biol. Cybern., 2013)

Foreword. - Péter Érdi; Amelia G. Nobile; Laura Sacerdote (Biosyst., 2013)

The role of detachment of links in scale-free networks. - Petr Lánský; Federico Polito; Laura Sacerdote (CoRR, 2013)

Superprocesses as models for information dissemination in the Future Internet. - Laura Sacerdote; Michele Garetto; Federico Polito; Matteo Sereno (CoRR, 2013)

Non-Parametric Estimation of Mutual Information through the Entropy of the Linkage. - Maria Teresa Giraudo; Laura Sacerdote; Roberta Sirovich (Entropy, 2013)

A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss-Markov. - Elisa Benedetto; Laura Sacerdote; Cristina Zucca (J. Comput. Appl. Math., 2013)

On Firing Rate Estimation for Dependent Interspike Intervals. - Elisa Benedetto; Federico Polito; Laura Sacerdote (Neural Comput., 2015)

The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model. - Petr Lánský; Laura Sacerdote; Cristina Zucca (Biol. Cybern., 2016)

First passage times of two-dimensional correlated processes: Analytical results for the Wiener process and a numerical method for diffusion processes. - Laura Sacerdote; Massimiliano Tamborrino; Cristina Zucca (J. Comput. Appl. Math., 2016)

Using dynamic Bayesian networks to model technical risk management efficiency. - Anan Halabi; Ron S. Kenett; Laura Sacerdote (Qual. Reliab. Eng. Int., 2017)

A study of dependency features of spike trains through copulas. - Pietro Verzelli; Laura Sacerdote (Biosyst., 2019)

On the continuous-time limit of the Barabási-Albert random graph. - Angélica Pachón; Federico Polito; Laura Sacerdote (Appl. Math. Comput., 2020)

Editorial. - Chris Christodoulou; Lubomir Kostal; Laura Sacerdote (Biosyst., 2020)

Input-output consistency in integrate and fire interconnected neurons. - Petr Lánský; Federico Polito; Laura Sacerdote (Appl. Math. Comput., 2023)

Graph Convolutional Branch and Bound. - Lorenzo Sciandra; Roberto Esposito; Andrea Cesare Grosso; Laura Sacerdote; Cristina Zucca (CoRR, 2024)

Jacobi Processes with Jumps as Neuronal Models: A First Passage Time Analysis. - Giuseppe D'Onofrio; Pierre Patie; Laura Sacerdote (SIAM J. Appl. Math., 2024)