Associate Research Professor, Statistics Carnegie Mellon University Phone: (412) 268-4249 Fax: (412) 268-7828 Email: vventura@stat.cmu.edu Lab Website: http://lib.stat.cmu.edu/~vventura/

Ph. D., University of Oxford, U. K.

Research Interests

Models for neuronal firing patterns. Algorithms for neural prosthetes. Spike sorting. Functional connectivity. Bootstrap methods.

Recent Publications

• Ventura V: Spike train decoding without spike sorting. Neural Comput 20(4): 923-63, 2008.
• Kass RE, Ventura V: Spike count correlation increases with length of time interval in the presence of trial-to-trial variation. Neural Comput 18: 2583-2591, 2006.
• Canty AJ, Davison AC, Hinkley DV, Ventura V: Bootstrap diagnostics and remedies. Can J Stat 34: 5-27, 2006. (2006 CJS best paper award)
• Ventura V, Cai C, Kass RE: Statistical assessment of time-varying dependence between two neurons. J Neurophysiol 94: 2940-2947, 2005.
• Ventura V, Cai C, Kass RE: Trial-to-trial variability and its effect on time-varying dependence between two neurons. J Neurophysiol 94: 2928-2939, 2005.
• Kass RE, Ventura V, Brown EN: Statistical issues in the analysis of neuronal data. J Neurophysiol 94: 8-25, 2005.
• Ventura V: Testing for, and estimating latency effects for Poisson and non-Poisson spike trains. Neural Comput 16(11): 2323-2350, 2004.
• Ventura V, Paciorek CJ, Risbey JS: Controlling the proportion of falsely-rejected hypotheses when conducting multiple tests with climatological data. J Clim 17(22): 4343-4356, 2004.