Robert E. Kass

According to our database1, Robert E. Kass authored at least 32 papers between 1997 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 




Stability of point process spiking neuron models.
J. Comput. Neurosci., 2019

Adjusted regularization of cortical covariance.
J. Comput. Neurosci., 2018

Sequential Monte Carlo Method for Bayesian Multiple Testing of Pairwise Interactions among Large Number of Neurons.
Proceedings of the 14th International Conference on Natural Computation, 2018

Inferring oscillatory modulation in neural spike trains.
PLoS Computational Biology, 2017

Population Vectors Can Provide Near Optimal Integration of Information.
Neural Computation, 2017

Ten Simple Rules for Effective Statistical Practice.
PLoS Computational Biology, 2016

Separating Spike Count Correlation from Firing Rate Correlation.
Neural Computation, 2016

A state-space model of cross-region dynamic connectivity in MEG/EEG.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Establishing a Statistical Link between Network Oscillations and Neural Synchrony.
PLoS Computational Biology, 2015

An Empirical Model for Reliable Spiking Activity.
Neural Computation, 2015

Consistency in Brain Activation Predicts Success in Transfer.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Spike Train.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Fast and Improved SLEX Analysis of High-Dimensional Time Series.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Information Transmission Using Non-Poisson Regular Firing.
Neural Computation, 2013

A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons.
Neural Computation, 2012

Bayesian learning in assisted brain-computer interface tasks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Detection of bursts in extracellular spike trains using hidden semi-Markov point process models.
J. Comput. Neurosci., 2010

Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.
J. Comput. Neurosci., 2010

Local field potentials indicate network state and account for neuronal response variability.
J. Comput. Neurosci., 2010

Guest editorial: analysis of neural data.
J. Comput. Neurosci., 2010

Accounting for network effects in neuronal responses using L1 regularized point process models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms.
Neural Networks, 2009

Information in the Nonstationary Case.
Neural Computation, 2009

Some statistical issues in estimating information in neural spike trains.
Proceedings of the IEEE International Conference on Acoustics, 2009

Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons.
Neural Computation, 2008

Information In The Non-Stationary Case
CoRR, 2008

Statistical Signal Processing and the Motor Cortex.
Proceedings of the IEEE, 2007

Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation.
Neural Computation, 2006

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis.
Neural Computation, 2002

A Spike-Train Probability Model.
Neural Computation, 2001

Working-Memory Failure in Phone-Based Interaction.
ACM Trans. Comput. Hum. Interact., 1997