Valerie Ventura

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Statistics, Neuroscience Biology
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"Valerie Ventura"
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Vinci G, Ventura V, Smith MA, et al. (2018) ADJUSTED REGULARIZATION IN LATENT GRAPHICAL MODELS: APPLICATION TO MULTIPLE-NEURON SPIKE COUNT DATA. The Annals of Applied Statistics. 12: 1068-1095
Chen Y, Xin Q, Ventura V, et al. (2018) Stability of point process spiking neuron models. Journal of Computational Neuroscience
Vinci G, Ventura V, Smith MA, et al. (2018) Adjusted regularization of cortical covariance. Journal of Computational Neuroscience
Vinci G, Ventura V, Smith MA, et al. (2016) Separating Spike Count Correlation from Firing Rate Correlation. Neural Computation. 1-33
Ventura V, Todorova S. (2015) A computationally efficient method for incorporating spike waveform information into decoding algorithms. Neural Computation. 27: 1033-50
Reinhart A, Ventura V, Athey A. (2015) Detecting changes in maps of gamma spectra with Kolmogorov-Smirnov tests Nuclear Instruments and Methods in Physics Research, Section a: Accelerators, Spectrometers, Detectors and Associated Equipment. 802: 31-37
Todorova S, Sadtler P, Batista A, et al. (2014) To sort or not to sort: the impact of spike-sorting on neural decoding performance. Journal of Neural Engineering. 11: 056005
Fisher LE, Ayers CA, Ciollaro M, et al. (2014) Chronic recruitment of primary afferent neurons by microstimulation in the feline dorsal root ganglia. Journal of Neural Engineering. 11: 036007
Perel S, Schwartz AB, Ventura V. (2014) Automatic scan test for detection of functional connectivity between cortex and muscles. Journal of Neurophysiology. 112: 490-9
Perel S, Schwartz AB, Ventura V. (2014) Single-snippet analysis for detection of postspike effects. Neural Computation. 26: 40-56
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