Publications

Papers

Vinci, G, Ventura, V, Smith, MA, and Kass, RE (2016) Separating spike count correlation from firing rate correlation. Neural Computation, to appear.

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, 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 AB, 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 LE, Ayers CA, Ciollaro M, Ventura V, Weber DJ, and Gaunt RA (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 AB, and Ventura V (2014) Single-Snippet Analysis for Detection of Postspike Effects. Neural Computation, 26: 40–56

Ventura V and Gerkin RC (2011) Accurately estimating neuronal correlation requires a new spike-sorting paradigm. PNAS 109:7230–7235

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

Wagenaar JB, Ventura V, and Weber DJ (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 RE 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 AJ, Davison AC, Hinkley DV, 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 RE (2005) Statistical assessment of time-varying dependence between two neurons. Journal of Neurophysiology, 94: 2940-2947.

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

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

Kaufman CG, Ventura V, and Kass RE (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 CJ, and Risbey JS (2003) Controlling the proportion of falsely-rejected hypotheses when conducting multiple tests with climatological data. Journal of Climate 17:4343-4356.

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

Brown BN, Barbieri R, Ventura V, Kass RE, and Frank LM (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 RE and Ventura V (2001) A spike-train probability model. Neural Computation, 13: 1713-1720.

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

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

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

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

Ventura V, Davison AC, and Boniface SJ (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.

Jorge Chapa, J., Rhodes, L., Contreras, C., Goodwin, M., Ramirez, ML., 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.