The following pages link to Valérie Ventura (Q1624824):
Displaying 19 items.
- The time-rescaling theorem and its application to neural spike train data analysis (Q122872) (← links)
- Adjusted regularization in latent graphical models: application to multiple-neuron spike count data (Q1624826) (← links)
- Adjusted regularization of cortical covariance (Q1628355) (← links)
- (Q2080759) (redirect page) (← links)
- Causal inference for the effect of mobility on Covid-19 deaths (Q2080760) (← links)
- Stability of point process spiking neuron models (Q2418230) (← links)
- A spike-train probability model (Q2746335) (← links)
- Automatic Spike Sorting Using Tuning Information (Q3182478) (← links)
- Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation (Q3413079) (← links)
- Statistical Inference for the Effect of Magnetic Brain Stimulation on a Motoneurone (Q4216166) (← links)
- Asymptotic Distribution of P Values in Composite Null Models (Q4541336) (← links)
- Testing for and Estimating Latency Effects for Poisson and Non-Poisson Spike Trains (Q4832454) (← links)
- Single-Snippet Analysis for Detection of Postspike Effects (Q5378309) (← links)
- A Computationally Efficient Method for Incorporating Spike Waveform Information into Decoding Algorithms (Q5380236) (← links)
- Separating Spike Count Correlation from Firing Rate Correlation (Q5380423) (← links)
- Neural Decoding: A Predictive Viewpoint (Q5380879) (← links)
- Spike Train Decoding Without Spike Sorting (Q5460196) (← links)
- Bootstrap diagnostics and remedies (Q5476448) (← links)
- Statistical analysis of temporal evolution in single-neuron firing rates (Q5701124) (← links)
