239 results on '"Robert E, Kass"'
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2. Cross-population coupling of neural activity based on Gaussian process current source densities.
3. Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings.
4. Sequential Monte Carlo Method for Bayesian Multiple Testing of Pairwise Interactions among Large Number of Neurons.
5. Stability of point process spiking neuron models.
6. Adjusted regularization of cortical covariance.
7. A state-space model of cross-region dynamic connectivity in MEG/EEG.
8. Population Vectors Can Provide Near Optimal Integration of Information.
9. Separating Spike Count Correlation from Firing Rate Correlation.
10. Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization.
11. Fast and Improved SLEX Analysis of High-Dimensional Time Series.
12. A Conversation with Stephen M. Stigler
13. An Empirical Model for Reliable Spiking Activity.
14. Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data
15. Bayesian learning in assisted brain-computer interface tasks.
16. Accounting for network effects in neuronal responses using L1 regularized point process models.
17. Inferring oscillatory modulation in neural spike trains.
18. Some statistical issues in estimating information in neural spike trains.
19. Consistency in Brain Activation Predicts Success in Transfer.
20. Networks of VTA Neurons Encode Real-Time Information about Uncertain Numbers of Actions Executed to Earn a Reward
21. Information Transmission Using Non-Poisson Regular Firing.
22. Ten Simple Rules for Effective Statistical Practice.
23. A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons.
24. Local field potentials indicate network state and account for neuronal response variability.
25. Detection of bursts in extracellular spike trains using hidden semi-Markov point process models.
26. Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.
27. Information in the Nonstationary Case.
28. Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms.
29. Statistical Models of Spike Train Data
30. Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons.
31. Statistical Signal Processing and the Motor Cortex.
32. Establishing a Statistical Link between Network Oscillations and Neural Synchrony.
33. Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation.
34. Geometrical Foundations of Asymptotic Inference
35. The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis.
36. A Spike-Train Probability Model.
37. Exploring spatiotemporal neural dynamics of the human visual cortex
38. Cross-population coupling of neural activity based on Gaussian process current source densities
39. Working-Memory Failure in Phone-Based Interaction.
40. Teaching Computation in Neuroscience: Notes on the 2019 Society for Neuroscience Professional Development Workshop on Teaching
41. Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
42. Information In The Non-Stationary Case
43. Detecting multivariate cross-correlation between brain regions
44. Stability of point process spiking neuron models
45. Guest editorial: analysis of neural data.
46. Temporally Segmented Directionality in the Motor Cortex
47. Change-point detection of cognitive states across multiple trials in functional neuroimaging
48. Separating Spike Count Correlation from Firing Rate Correlation
49. Exploring spatio-temporal neural dynamics of the human visual cortex
50. Adjusted regularization in latent graphical models: Application to multiple-neuron spike count data
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