Publications

Papers

Matano, F. and Ventura, V. (2020) Model selection for gaussian linear inverse regression with application to neural decoding from unsorted electrodes spike waveforms, submitted.

Chen, Y., Xin, Q., Ventura, V., and Kass, R.E. (2019) Stability of point process spiking neuron models , Journal of Computational Neuroscience, 46: 19-32.

Vinci, G., Ventura, V., Smith, M.A., and Kass, R.E. (2018) Adjusted regularization of cortical covariance, Journal of Computational Neuroscience, 45: 83-101.

Vinci, G., Ventura, V., Smith, M.A., and Kass, R.E. (2018) Adjusted regularization in latent graphical models: Application to multiple-neuron spike count data, Annals of Applied Statistics, 12: 1068-1095.

Todorova, S. and Ventura, V. (2017) Decoding: a predictive viewpoint, Neural Computation, 29: 3290-3310

Elliott, P., G’Sell, M., Snyder, L.M., Ross, S.E., and Ventura, V. (2017) Automated acoustic detection of mouse scratching, PLOS ONE 12(7): e0179662.

Vinci, G., Ventura, V., Smith, M.A., and Kass, R.E. (2016) Separating spike count correlation from firing rate correlation, Neural Computation, 28: 849--881.

Reinhart, A., Ventura, V., and Athey, A. (2015) Detecting changes in maps of gamma spectra with Kolmogorov-Smirnov tests, Nucl. Instrum. Methods Phys. Res., A 80 (2015) 31-37.

Ventura, V. and Todorova, S. (2015) A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms, Neural Computation, 27:1033:1050.

Todorova, S., Sadtler, P., Batista, A., Chase, S., and Ventura, V. (2014) To sort or not to sort: the impact of spike-sorting on neural decoding performance, J. Neural Eng., vol. 11, no. 5, 056005.

Perel, S., Schwartz, A.B., and Ventura, V. (2014) Automatic scan test for detection of functional connectivity between cortex and muscles, J. Neurophys., Vol. no. DOI: 10.1152/jn.00800.2011

Fisher, L.E., Ayers, C.A., Ciollaro, M., Ventura, V., Weber, D.J., and Gaunt, R.A. (2014) Chronic recruitment of primary afferent neurons by microstimulation in the feline dorsal root ganglia, J. Neural Eng., vol. 11, no. 3, 036007.

Perel, S., Schwartz, A.B., and Ventura, V. (2014) Single-Snippet Analysis for Detection of Postspike Effects, Neural Computation, 26: 40–56

Ventura, V. and Gerkin, R.C. (2012) Accurately estimating neuronal correlation requires a new spike-sorting paradigm, PNAS, 109:7230–7235

Wagenaar, J.B., Ventura, V., and Weber, D.J. (2011) State-space decoding of primary afferent neuron firing rates, J. Neural Eng. 8.

Wagenaar, J.B., Ventura, V., and Weber, D.J. (2009) Improved decoding of limb-state feedback from natural sensors, Conf Proc IEEE Eng Med Biol Soc. 2009:4206-9.

Ventura, V. (2009) Automatic Spike Sorting using Tuning Information, Neural Computation, 21:2466:2501.

Ventura, V. (2009) Traditional waveform based spike sorting yields biased rate code estimates, PNAS, 106:6921-6926

Ventura, V. (2008) Spike Train Decoding without Spike Sorting, Neural Computation, 20:923-963.

Kass, R.E. and Ventura, V. (2006) Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation. Neural Computation, 18:2583-2591

Canty, A.J., Davison, A.C., Hinkley, D.V., and Ventura, V. (2006) Bootstrap diagnostics and remedies. The Canadian Journal of Statistics, 34: 5-27. 2006 CJS best paper award.

Ventura, V., Cai, C., and Kass, R.E. (2005) Statistical assessment of time-varying dependence between two neurons. Journal of Neurophysiology, 94: 2940-2947.

Ventura, V., Cai, C., and Kass, R.E. (2005) Trial-to-trial variability and its effect on time-varying dependence between two neurons. Journal of Neurophysiology, 94: 2928-2939.

Kass, R.E., Ventura, V., and Brown, E.N. (2005) Statistical issues in the analysis of neuronal data. Journal of Neurophysiology, 94: 8-25.

Kaufman, C.G., Ventura, V., and Kass, R.E. (2005) Spline-based nonparametric regression for periodic functions and its application to directional tuning of neurons. Statistics in Medicine, 24: 2255-2265.

Ventura, V. (2004) Testing for, and Estimating Latency Effects for Poisson and non-Poisson Spike Trains. Neural Computation. 16:11, 2323-2350.

Ventura, V., Paciorek, C.J., and Risbey, J.S. (2003) Controlling the proportion of falsely-rejected hypotheses when conducting multiple tests with climatological data. Journal of Climate 17:4343-4356.

Kass, R.E., Ventura, V., and Cai, C. (2003) Statistical smoothing of neuronal data. Network: Computation in Neural Systems, 14: 5--15.

Brown, B.N., Barbieri, R., Ventura, V., Kass, R.E., and Frank, L.M. (2002) The time-rescaling theorem and its applications to neural spike train data analysis. Neural Computation, 14: 325--346.

Ventura, V. (2002) Nonparametric bootstrap recycling. Statistics and Computing. 12: 261-273.

Kass, R.E. and Ventura, V. (2001) A spike-train probability model. Neural Computation, 13: 1713-1720.

Ventura, V., Carta, R., Kass, R.E., Olson, C.R., and Gettner, S.N. (2002) Statistical analysis of temporal evolution in single-neuron firing rates. Biostatistics, 1: 1--20.

Paciorek, C.J., Risbey, C.J., Ventura, V., and Rosen, R.D. (2002) Multiple indices of Northern Hemisphere Cyclone Activity, Winters 1949-1999. Journal of Climate 15:1573--1590.

Ventura, V. (2000) Contribution to the discussion of Stephens, M. and Donnelly, P. Inference in Molecular Population Genetics. Journal of the Royal Statistical Society, Series B, 62 , 630.

Robins, J.M., van der Vaart, A.W., and Ventura, V. (2000) The Asymptotic Distribution of P-Values in Composite Null Models. Journal of the American Statistical Association, 62 Vol. 452.

Oslon, C.R., Gettner, S.R., Ventura, V., Carta, R., and Kass, R.E. (2000) Neuronal activity in Macaque supplementary eye field during selection of targets under exogeneous and endogenous control. Journal of Neurophysiology, 84:1369--1384.

Paciorek, C.J., Risbey, C.J., Ventura, V., and Rosen, R.D. (2002) Multiple indices of Northern Hemisphere Cyclone Activity, Winters 1949-1999. Journal of Climate 15:1573--1590.

Holt, L., Ventura, V., Rhode, W., Behesta, S., Rinaldo, A. (2000) Context‚Äêdependent neural coding in the chinchilla cochlear nucleus, {\em Journal of the Acoustical Society of America}, 108:5, 2641-2641.

Ventura, V., Davison, A.C., and Boniface, S.J. (1998) Statistical inference for the effect of magnetic brain stimulation on a motoneurone. Applied Statistics, 47, 77-94.

Ventura, V. (1998) Nonparametric bootstrap recycling. 1997 Proceedings of the Statistical Computing Section.

Technical Reports

Iyengar, S., and Ventura, V. (2000) The snowflake plot for multiple point processes. Technical Report, Statistics Department, Pittsburgh University.

Ventura, V. (1999) Double Importance Sampling. Technical Report 694, Statistics Department, Carnegie Mellon University.

Ventura, V., Hinkley, D.V. (1992) Gibbs Sampling. Technical report 101, Center for Statistical Sciences, the University of Texas at Austin.

Chapa, J., Rhodes, L., Contreras, C., Goodwin, M., Ramirez, M.L., and Ventura, V. (1992) Hispanics and the Scholastic Aptitude Test in Texas. Working Paper Series #60, LB 2353.57 H57 1992 Public Affairs Library, LBJ School of Public Affairs, the University of Texas at Austin.