Laura Sacerdote

发表

Superprocesses as models for information dissemination in the Future Internet pdf

Laura Sacerdote, Michele Garetto, Federico Polito, 2013, ArXiv.

Inverse First Passage Time Method in the Analysis of Neuronal Interspike Intervals of Neurons Characterized by Time Varying Dynamics

Laura Sacerdote, Cristina Zucca, C. Zucca, 2005, BVAI.

On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity

Laura Sacerdote, Petr Lánský, Francesca Tomassetti, 1995, Biological Cybernetics.

The role of detachment of in-links in scale-free networks pdf

Laura Sacerdote, Federico Polito, Petr Lánský, 2013, ArXiv.

Input Identification in the Ornstein-Uhlenbeck Neuronal Model with Signal Dependent Noise

Laura Sacerdote, Cristina Zucca, Petr Láanskáy, 2007, BVAI.

On the continuous-time limit of the Barabási-Albert random graph

Laura Sacerdote, Federico Polito, Angelica Pachon, 2016, Appl. Math. Comput..

Non-Parametric Estimation of Mutual Information through the Entropy of the Linkage

Laura Sacerdote, Roberta Sirovich, Maria Teresa Giraudo, 2013, Entropy.

DataSlicer: Enabling Data Selection for Visual Data Exploration

Farid Alborzi, Rada Chirkova, Laura Sacerdote, 2015 .

Multimodal inter-spike intervals distributions in a jump-diffusion neuronal model

Laura Sacerdote, Alessandro E. P. Villa, Roberta Sirovich, 2006 .

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, 2012, J. Comput. Appl. Math..

Superprocesses as Models for Information Dissemination in the Future Internet

Laura Sacerdote, Michele Garetto, Federico Polito, 2014 .

Information Measures in a Small Network of Spiking Neurons

Laura Sacerdote, Roberta Sirovich, Maria Teresa Giraudo, 2008 .

Errors in estimation of the input signal for integrate-and-fire neuronal models.

Laura Sacerdote, Enrico Bibbona, Roberta Sirovich, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Space-time transformations and copulae for Diffusion Processes

Laura Sacerdote, Enrico Bibbona, Emiliano Torre, 2015 .

A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss-Markov

Laura Sacerdote, Cristina Zucca, Elisa Benedetto, 2012, J. Comput. Appl. Math..

Estimation of information measures in coupled diffusion neuronal models

Laura Sacerdote, Roberta Sirovich, Mt Giraudo, 2011 .

The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model

Laura Sacerdote, Petr Lánský, Cristina Zucca, 2016, Biological Cybernetics.

Stochastic leaky integrate and fire neuronal model: examples of its application to neuronal coding study

Laura Sacerdote, R. Sirovich, C. Zucca, 2005 .

Detecting dependencies between spike trains of pairs of neurons through copulas

Laura Sacerdote, Massimiliano Tamborrino, Cristina Zucca, 2012, Brain Research.

Statistical study of the inverse first passage time algorithm

Laura Sacerdote, Cristina Zucca, 2007, SPIE International Symposium on Fluctuations and Noise.

Roles of noise in reliability problems: the view point of a mathematician and some application proposals

Laura Sacerdote, Patrizia Tavella, P. Tavella, 2007, SPIE International Symposium on Fluctuations and Noise.

Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons

Laura Sacerdote, Alessandro E. P. Villa, Roberta Sirovich, 2007, IWANN.

Leaky integrate and fire models coupled through copulas: association properties of the interspike intervals.

Laura Sacerdote, Massimiliano Tamborrino, 2010, The Chinese journal of physiology.

Ghost Stochastic Resonance for a Neuron with a Pair of Periodic Inputs

Laura Sacerdote, Alessandro Sicco, Maria Teresa Giraudo, 2007, BVAI.

Statistical analysis of synchrony and synchrony propagation in massively parallel spike trains

Sonja Grün, Laura Sacerdote, Björn Michael Kampa, 2016 .

Editorial

Laura Sacerdote, Chris Christodoulou, Lubomir Kostal, 2020, Biosyst..

How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold

Laura Sacerdote, Priscilla E. Greenwood, Maria Teresa Giraudo, 2011, Neural Computation.

Comparison of statistical methods for spatio-temporal pattern detection in multivariatepoint processes

Sonja Grün, Laura Sacerdote, Pietro Quaglio, 2018 .

Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate

Laura Sacerdote, Petr Lánský, Roger Rodriguez, 2004, Neural Computation.

A copulas approach to neuronal networks models

Laura Sacerdote, Roberta Sirovich, L. Sacerdote, 2010, Journal of Physiology-Paris.

Modeling the relationship between reliability assessment and risk predictors using Bayesian networks and a multiple logistic regression model

Laura Sacerdote, Ana X. Halabi, Ron S. Kenett, 2018 .

A study of dependency features of spike trains through copulas

Laura Sacerdote, Pietro Verzelli, 2019, Biosyst..

Cooperative behavior in a jump diffusion model for a simple network of spiking neurons.

Laura Sacerdote, Roberta Sirovich, Alessandro E P Villa, 2013, Mathematical biosciences and engineering : MBE.

S tatis tical techniques for interferometric s ignal analys is

Laura Sacerdote, Mario Gai, Donata Bonino, 2009 .

Using dynamic Bayesian networks to model technical risk management efficiency

Laura Sacerdote, Ana X. Halabi, Ron S. Kenett, 2017, Qual. Reliab. Eng. Int..

Foreword

Péter Érdi, Laura Sacerdote, Amelia G. Nobile, 2013, Biosyst..

On Firing Rate Estimation for Dependent Interspike Intervals

Laura Sacerdote, Federico Polito, Elisa Benedetto, 2013, Neural Computation.

On dependency properties of the ISIs generated by a two-compartmental neuronal model

Laura Sacerdote, Elisa Benedetto, L. Sacerdote, 2013, Biological Cybernetics.

A note on the maximal expected local time of $${\text {L}}_2$$ L 2 -bounded martingales

Laura Sacerdote, Isaac Meilijson, David Gilat, 2021, Journal of Theoretical Probability.

Random Graphs Associated to Some Discrete and Continuous Time Preferential Attachment Models

Laura Sacerdote, Federico Polito, Angelica Pachon, 2015, 1503.06150.

Multimodality of the interspike interval distribution in a simple jump-diffusion model.

Laura Sacerdote, Roberta Sirovich, 2003 .

On the inverse first-passage-time problem for a Wiener process

Laura Sacerdote, Cristina Zucca, C. Zucca, 2009, 0908.4213.

Scale-free behavior of networks with the copresence of preferential and uniform attachment rules

Laura Sacerdote, Angelica Pachon, Shuyi Yang, 2017, 1704.08597.

Joint distribution of first exit times of a two dimensional Wiener process with jumps with application to a pair of coupled neurons.

Laura Sacerdote, Cristina Zucca, C. Zucca, 2013, Mathematical biosciences.

The Ornstein–Uhlenbeck neuronal model with signal-dependent noise

Laura Sacerdote, Petr Lánský, P. Lánský, 2001 .

MEAN VARIANCE AND SKEWNESS OF THE FIRST PASSAGE TIME FOR THE ORNSTEIN-UHLENBECK PROCESS

Laura Sacerdote, Luigi M. Ricciardi, L. Ricciardi, 1981 .

Generalized Nonlinear Yule Models

Laura Sacerdote, Federico Polito, Petr Lansky, 2016, Journal of Statistical Physics.

Chapter XVII On a Class of Difference Equations Modeling Growth Processes

Laura Sacerdote, Amelia Giuseppina Nobile, Luigi M. Ricciardi, 1982 .