Valérie Ventura

发表

Statistical issues in the analysis of neuronal data.

Robert E Kass, Valérie Ventura, Emery N Brown, 2005, Journal of neurophysiology.

Non-parametric bootstrap recycling

Valérie Ventura, 2002, Stat. Comput..

Time-Varying Dependency Between Two Neurons Trial-to-Trial Variability and Its Effect on

Robert E. Kass, Valérie Ventura, Can Cai, 2005 .

A Spike-Train Probability Model

Robert E. Kass, Valérie Ventura, R. Kass, 2001, Neural Computation.

Separating Spike Count Correlation from Firing Rate Correlation

Robert E. Kass, Valérie Ventura, Matthew A. Smith, 2016, Neural Computation.

Automatic scan test for detection of functional connectivity between cortex and muscles.

Valérie Ventura, Sagi Perel, Andrew B Schwartz, 2014, Journal of neurophysiology.

Single-Snippet Analysis for Detection of Postspike Effects

Valérie Ventura, Sagi Perel, Andrew B. Schwartz, 2014, Neural Computation.

ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA.

Robert E. Kass, Valérie Ventura, Giuseppe Vinci, 2018, The annals of applied statistics.

connectivity between cortex and muscles Automatic scan test for detection of functional

Valérie Ventura, Andrew B. Schwartz, 2014 .

Adjusted regularization of cortical covariance

Robert E. Kass, Valérie Ventura, Matthew A. Smith, 2018, Journal of Computational Neuroscience.

Statistical assessment of time-varying dependency between two neurons.

Robert E Kass, Valérie Ventura, Can Cai, 2005, Journal of neurophysiology.

To sort or not to sort: the impact of spike-sorting on neural decoding performance

Valérie Ventura, Aaron Batista, Steven Chase, 2014, Journal of neural engineering.

Neural Decoding: A Predictive Viewpoint

Valérie Ventura, Sonia Todorova, V. Ventura, 2017, Neural Computation.

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis

Emery N. Brown, Riccardo Barbieri, Robert E. Kass, 2002, Neural Computation.

Spike Train Decoding Without Spike Sorting

Valérie Ventura, V. Ventura, 2008, Neural Computation.

Testing for and Estimating Latency Effects for Poisson and Non-Poisson Spike Trains

Valérie Ventura, V. Ventura, 2004, Neural Computation.

Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation

Robert E. Kass, Valérie Ventura, R. Kass, 2006, Neural Computation.

Controlling a Neuroprosthetic Arm: Real Time Estimation and Prediction

Valérie Ventura, Cari G. Kaufman, V. Ventura, 2006 .

Automatic Spike Sorting Using Tuning Information

Valérie Ventura, V. Ventura, 2009, Neural Computation.

Stability of point process spiking neuron models

Qi Xin, Yu Chen, Robert E. Kass, 2018, Journal of Computational Neuroscience.

A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms

Valérie Ventura, Sonia Todorova, V. Ventura, 2015, Neural Computation.

Bootstrap Tests of Hypotheses

Valérie Ventura, V. Ventura, 2010 .

Statistical inference for the effect of magnetic brain stimulation on a motoneurone

Anthony C. Davison, Valérie Ventura, S. J. Boniface, 2002 .

Traditional waveform based spike sorting yields biased rate code estimates

Valérie Ventura, V. Ventura, 2009, Proceedings of the National Academy of Sciences.

Markov Chain Monte Carlo Approach and Burst-Dependent Spike Amplitude Attenuation: A Improved Spike-Sorting By Modeling Firing Statistics

Richard C. Gerkin, Anneke Meyer, Valérie Ventura, 2015 .

Trial-to-trial variability and its effect on time-varying dependency between two neurons.

Robert E Kass, Valérie Ventura, Can Cai, 2005, Journal of neurophysiology.

Controlling the Proportion of Falsely Rejected Hypotheses when Conducting Multiple Tests with Climatological Data

Valérie Ventura, James S. Risbey, Christopher J. Paciorek, 2004 .

Chronic recruitment of primary afferent neurons by microstimulation in the feline dorsal root ganglia.

Valérie Ventura, Robert A Gaunt, Douglas J Weber, 2014, Journal of neural engineering.