Robert E. Kass

37 papers A* 1B 1Misc 1Journal 27Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cross-population amplitude coupling in high-dimensional oscillatory neural time series.
Frontiers Comput. Neurosci.
Heejong Bong, Valérie Ventura, Eric A. Yttri, Matthew A. Smith, Robert E. Kass
2026 J jnl
Relative timing and coupling of neural population bursts in large-scale recordings from multiple neuron populations.
Frontiers Comput. Neurosci.
Motolani Olarinre, Joshua H. Siegle, Robert E. Kass
2023 J jnl
A biophysical and statistical modeling paradigm for connecting neural physiology and function.
J. Comput. Neurosci.
Nathan G. Glasgow, Yu Chen, Alon Korngreen, Robert E. Kass, Nathan N. Urban
2021 J jnl
Cross-population coupling of neural activity based on Gaussian process current source densities.
PLoS Comput. Biol.
Natalie Klein, Joshua H. Siegle, Tobias Teichert, Robert E. Kass
2020 A* conf
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings.
NeurIPS
Heejong Bong, Zongge Liu, Zhao Ren, Matthew A. Smith, Valérie Ventura, Robert E. Kass
2019 J jnl
Stability of point process spiking neuron models.
J. Comput. Neurosci.
Yu Chen, Qi Xin, Valérie Ventura, Robert E. Kass
2018 J jnl
Adjusted regularization of cortical covariance.
J. Comput. Neurosci.
Giuseppe Vinci, Valérie Ventura, Matthew A. Smith, Robert E. Kass
2018 — conf
Sequential Monte Carlo Method for Bayesian Multiple Testing of Pairwise Interactions among Large Number of Neurons.
ICNC-FSKD
Bin Liu, Giuseppe Vinci, Adam C. Snyder, Robert E. Kass
2017 J jnl
Inferring oscillatory modulation in neural spike trains.
PLoS Comput. Biol.
Kensuke Arai, Robert E. Kass
2017 J jnl
Population Vectors Can Provide Near Optimal Integration of Information.
Neural Comput.
Josue Orellana, Jordan Rodu, Robert E. Kass
2016 — conf
A state-space model of cross-region dynamic connectivity in MEG/EEG.
NIPS
Ying Yang, Elissa Aminoff, Michael J. Tarr, Robert E. Kass
2016 J jnl
Separating Spike Count Correlation from Firing Rate Correlation.
Neural Comput.
Giuseppe Vinci, Valérie Ventura, Matthew A. Smith, Robert E. Kass
2016 J jnl
Ten Simple Rules for Effective Statistical Practice.
PLoS Comput. Biol.
Robert E. Kass, Brian S. Caffo, Marie Davidian, Xiao-Li Meng, Bin Yu, Nancy Reid
2015 J jnl
An Empirical Model for Reliable Spiking Activity.
Neural Comput.
Wanjie Wang, Shreejoy J. Tripathy, Krishnan Padmanabhan, Nathaniel N. Urban, Robert E. Kass
2015 B conf
Consistency in Brain Activation Predicts Success in Transfer.
CogSci
Qiong Zhang, John R. Anderson, Robert E. Kass
2015 J jnl
Establishing a Statistical Link between Network Oscillations and Neural Synchrony.
PLoS Comput. Biol.
Pengcheng Zhou, Shawn D. Burton, Adam C. Snyder, Matthew A. Smith, Nathaniel N. Urban, Robert E. Kass
2014 — conf
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization.
MLINI@NIPS
Ying Yang, Michael J. Tarr, Robert E. Kass
2014 — conf
Fast and Improved SLEX Analysis of High-Dimensional Time Series.
MLINI@NIPS
Ahmed Hefny, Robert E. Kass, Sanjeev Khanna, Matthew A. Smith, Geoffrey J. Gordon
2014 — ch.
Spike Train.
Encyclopedia of Computational Neuroscience
Robert E. Kass
2013 J jnl
Information Transmission Using Non-Poisson Regular Firing.
Neural Comput.
Shinsuke Koyama, Takahiro Omi, Robert E. Kass, Shigeru Shinomoto
2012 J jnl
A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons.
Neural Comput.
Ryan C. Kelly, Robert E. Kass
2012 — conf
Bayesian learning in assisted brain-computer interface tasks.
EMBC
Yin Zhang, Andrew B. Schwartz, Steven M. Chase, Robert E. Kass
2010 — conf
Accounting for network effects in neuronal responses using L1 regularized point process models.
NIPS
Ryan C. Kelly, Matthew A. Smith, Robert E. Kass, Tai Sing Lee
2010 J jnl
Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.
J. Comput. Neurosci.
Shinsuke Koyama, Steven M. Chase, Andrew S. Whitford, Meel Velliste, Andrew B. Schwartz, Robert E. Kass
2010 J jnl
Detection of bursts in extracellular spike trains using hidden semi-Markov point process models.
J. Comput. Neurosci.
Surya T. Tokdar, Peiyi Xi, Ryan C. Kelly, Robert E. Kass
2010 J jnl
Guest editorial: analysis of neural data.
J. Comput. Neurosci.
Robert E. Kass
2010 J jnl
Local field potentials indicate network state and account for neuronal response variability.
J. Comput. Neurosci.
Ryan C. Kelly, Matthew A. Smith, Robert E. Kass, Tai Sing Lee
2009 J jnl
Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms.
Neural Networks
Steven M. Chase, Andrew B. Schwartz, Robert E. Kass
2009 J jnl
Information in the Nonstationary Case.
Neural Comput.
Vincent Q. Vu, Bin Yu, Robert E. Kass
2009 Misc conf
Some statistical issues in estimating information in neural spike trains.
ICASSP
Vincent Q. Vu, Bin Yu, Robert E. Kass
2008 J jnl
Information In The Non-Stationary Case
CoRR
Vincent Q. Vu, Bin Yu, Robert E. Kass
2008 J jnl
Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons.
Neural Comput.
Shinsuke Koyama, Robert E. Kass
2007 J jnl
Statistical Signal Processing and the Motor Cortex.
Proc. IEEE
A. E. Brockwell, Robert E. Kass, Andrew B. Schwartz
2006 J jnl
Spike Count Correlation Increases with Length of Time Interval in the Presence of Trial-to-Trial Variation.
Neural Comput.
Robert E. Kass, Valérie Ventura
2002 J jnl
The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis.
Neural Comput.
Emery N. Brown, Riccardo Barbieri, Valérie Ventura, Robert E. Kass, Loren M. Frank
2001 J jnl
A Spike-Train Probability Model.
Neural Comput.
Robert E. Kass, Valérie Ventura
1997 J jnl
Working-Memory Failure in Phone-Based Interaction.
ACM Trans. Comput. Hum. Interact.
Brian R. Huguenard, F. Javier Lerch, Brian W. Junker, Richard J. Patz, Robert E. Kass