A Spike-Train Probability Model. - Robert E. Kass; Valérie Ventura (Neural Comput., 2001)

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. - Emery N. Brown; Riccardo Barbieri; Valérie Ventura; Robert E. Kass; Loren M. Frank (Neural Comput., 2002)

Non-parametric bootstrap recycling. - Valérie Ventura (Stat. Comput., 2002)

Testing for and Estimating Latency Effects for Poisson and Non-Poisson Spike Trains. - Valérie Ventura (Neural Comput., 2004)

Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation. - Robert E. Kass; Valérie Ventura (Neural Comput., 2006)

Spike Train Decoding Without Spike Sorting. - Valérie Ventura (Neural Comput., 2008)

Automatic Spike Sorting Using Tuning Information. - Valérie Ventura (Neural Comput., 2009)

Single-Snippet Analysis for Detection of Postspike Effects. - Sagi Perel; Andrew B. Schwartz; Valérie Ventura (Neural Comput., 2014)

A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms. - Valérie Ventura; Sonia Todorova (Neural Comput., 2015)

Separating Spike Count Correlation from Firing Rate Correlation. - Giuseppe Vinci; Valérie Ventura; Matthew A. Smith 001; Robert E. Kass (Neural Comput., 2016)

Neural Decoding: A Predictive Viewpoint. - Sonia Todorova; Valérie Ventura (Neural Comput., 2017)

Adjusted regularization of cortical covariance. - Giuseppe Vinci; Valérie Ventura; Matthew A. Smith 001; Robert E. Kass (J. Comput. Neurosci., 2018)

Stability of point process spiking neuron models. - Yu Chen 019; Qi Xin; Valérie Ventura; Robert E. Kass (J. Comput. Neurosci., 2019)

Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings. - Heejong Bong; Zongge Liu; Zhao Ren; Matthew A. Smith 001; Valérie Ventura; Robert E. Kass (NeurIPS, 2020)