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Valérie Ventura

Showing results (1-10 of 29) with videos related to

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Neural Computation|October 13, 2004
Testing for and estimating latency effects for poisson and non-poisson spike trainsValérie Ventura
Neural Computation|June 25, 2009
Automatic spike sorting using tuning informationValérie Ventura
Neural Computation|December 19, 2007
Spike train decoding without spike sortingValérie Ventura
Proceedings of the National Academy of Sciences of the United States of America|April 18, 2009
Traditional waveform based spike sorting yields biased rate code estimatesValérie Ventura
Neural Computation|March 17, 2015
A computationally efficient method for incorporating spike waveform information into decoding algorithmsValérie Ventura, Sonia Todorova
Neural Computation|September 29, 2017
Neural Decoding: A Predictive ViewpointSonia Todorova, Valérie Ventura
Proceedings of the National Academy of Sciences of the United States of America|April 25, 2012
Accurately estimating neuronal correlation requires a new spike-sorting paradigmValérie Ventura, Richard C Gerkin
Neural Computation|September 27, 2006
Spike count correlation increases with length of time interval in the presence of trial-to-trial variationRobert E Kass, Valérie Ventura
Journal of Neurophysiology|April 25, 2014
Automatic scan test for detection of functional connectivity between cortex and musclesSagi Perel, Andrew B Schwartz, Valérie Ventura
Journal of Neurophysiology|September 15, 2005
Trial-to-trial variability and its effect on time-varying dependency between two neuronsValérie Ventura, Can Cai, Robert E Kass
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Neural Computation|October 13, 2004
Testing for and estimating latency effects for poisson and non-poisson spike trainsValérie Ventura
Neural Computation|June 25, 2009
Automatic spike sorting using tuning informationValérie Ventura
Neural Computation|December 19, 2007
Spike train decoding without spike sortingValérie Ventura
Proceedings of the National Academy of Sciences of the United States of America|April 18, 2009
Traditional waveform based spike sorting yields biased rate code estimatesValérie Ventura
Neural Computation|March 17, 2015
A computationally efficient method for incorporating spike waveform information into decoding algorithmsValérie Ventura, Sonia Todorova
Neural Computation|September 29, 2017
Neural Decoding: A Predictive ViewpointSonia Todorova, Valérie Ventura
Proceedings of the National Academy of Sciences of the United States of America|April 25, 2012
Accurately estimating neuronal correlation requires a new spike-sorting paradigmValérie Ventura, Richard C Gerkin
Neural Computation|September 27, 2006
Spike count correlation increases with length of time interval in the presence of trial-to-trial variationRobert E Kass, Valérie Ventura
Journal of Neurophysiology|April 25, 2014
Automatic scan test for detection of functional connectivity between cortex and musclesSagi Perel, Andrew B Schwartz, Valérie Ventura
Journal of Neurophysiology|September 15, 2005
Trial-to-trial variability and its effect on time-varying dependency between two neuronsValérie Ventura, Can Cai, Robert E Kass
Pageof 3