Valerie Ventura
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
Statistics, Neuroscience BiologyGoogle:
"Valerie Ventura"
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Publications
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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 |
| Todorova S, Ventura V. (2017) Neural Decoding: A Predictive Viewpoint. Neural Computation. 1-21 |
| 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 |
| 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 |