Zhe Chen

47 papers B 2C 1Misc 9Journal 23Unranked 10
YearRankTypeTitle / Venue / Authors
2019 J jnl
Ensembles of change-point detectors: implications for real-time BMI applications.
J. Comput. Neurosci.
Zhengdong Xiao, Sile Hu, Qiaosheng Zhang, Xiang Tian, Yaowu Chen, Jing Wang, Zhe Chen
2018 Misc conf
Practical Considerations of a BMI Application for Detecting Acute Pain Signals.
ICASSP
Sile Hu, Zhengdong Xiao, Qiaosheng Zhang, Louise Urien, Jing Wang, Zhe Chen
2017 J jnl
A Novel Nonparametric Maximum Likelihood Estimator for Probability Density Functions.
IEEE Trans. Pattern Anal. Mach. Intell.
Rahul Agarwal, Zhe Chen, Sridevi V. Sarma
2017 Misc conf
A real-time rodent neural interface for deciphering acute pain signals from neuronal ensemble spike activity.
ACSSC
Sile Hu, Qiaosheng Zhang, Jing Wang, Zhe Chen
2017 Misc conf
Latent variable models for uncovering motor cortical ensemble dynamics.
ACSSC
Zhe Chen, Shizhao Liu, Jose Iriarte-Diaz, Nicholas G. Hatsopoulos, Callum F. Ross, Kazutaka Takahashi
2017 — conf
Quickest detection for abrupt changes in neuronal ensemble spiking activity using model-based and model-free approaches.
NER
Zhe Chen, Sile Hu, Qiaosheng Zhang, Jing Wang
2016 J jnl
A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields.
Neural Comput.
Rahul Agarwal, Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Sridevi V. Sarma
2016 J jnl
Bayesian Machine Learning: EEG\/MEG signal processing measurements.
IEEE Signal Process. Mag.
Wei Wu, Srikantan S. Nagarajan, Zhe Chen
2016 — conf
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes.
MLSP
Zhe Chen, Scott W. Linderman, Matthew A. Wilson
2016 Misc conf
Neuronal encoding models of complex receptive fields: A comparison of nonparametric and parametric approaches.
CISS
Rahul Agarwal, Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Sridevi V. Sarma
2016 Misc conf
Statistical analysis of neuronal population codes for encoding acute pain.
ICASSP
Zhe Chen, Jing Wang
2015 J jnl
Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures.
Comput. Intell. Neurosci.
Zhe Chen
2015 C conf
Identification of rat hippocampal population codes.
ACC
Zhe Chen
2015 J jnl
Probabilistic Common Spatial Patterns for Multichannel EEG Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Wu, Zhe Chen, Xiaorong Gao, Yuanqing Li, Emery N. Brown, Shangkai Gao
2014 — ch.
Generalized Linear Models for Point Process Analyses of Neural Spiking Activity.
Encyclopedia of Computational Neuroscience
Zhe Chen, Emery N. Brown
2014 J jnl
Neural Representation of Spatial Topology in the Rodent Hippocampus.
Neural Comput.
Zhe Chen, Stephen N. Gomperts, Jun Yamamoto, Matthew A. Wilson
2014 — ch.
State-Space Models for the Analysis of Neural Spike Train and Behavioral Data.
Encyclopedia of Computational Neuroscience
Zhe Chen, Emery N. Brown
2013 — conf
A variational nonparametric bayesian approach for inferring rat hippocampal population codes.
EMBC
Zhe Chen, Matthew A. Wilson
2013 — conf
Sparse Bayesian inference methods for decoding 3D reach and grasp kinematics and joint angles with primary motor cortical ensembles.
EMBC
Zhe Chen, Kazutaka Takahashi
2013 J jnl
State space model.
Scholarpedia
Zhe Chen, Emery N. Brown
2012 J jnl
Mapping of Visual Receptive Fields by Tomographic Reconstruction.
Neural Comput.
Gordon Pipa, Zhe Chen, Sergio Neuenschwander, Bruss Lima, Emery N. Brown
2012 J jnl
Point process time-frequency analysis of dynamic respiratory patterns during meditation practice.
Medical Biol. Eng. Comput.
Sandun Kodituwakku, Sara W. Lazar, Premananda Indic, Zhe Chen, Emery N. Brown, Riccardo Barbieri
2012 — conf
Transductive neural decoding for unsorted neuronal spikes of rat hippocampus.
EMBC
Zhe Chen, Fabian Kloosterman, Stuart Layton, Matthew A. Wilson
2012 J jnl
Uncovering spatial topology represented by rat hippocampal population neuronal codes.
J. Comput. Neurosci.
Zhe Chen, Fabian Kloosterman, Emery N. Brown, Matthew A. Wilson
2011 J jnl
A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG.
NeuroImage
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
2011 — conf
Assessing neuronal interactions of cell assemblies during general anesthesia.
EMBC
Zhe Chen, Sujith Vijayan, ShiNung Ching, Greg Hale, Francisco J. Flores, Matthew A. Wilson, Emery N. Brown
2011 J jnl
Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945].
NeuroImage
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
2011 — conf
Instantaneous assessment of autonomic cardiovascular control during general anesthesia.
EMBC
Zhe Chen, Luca Citi, Patrick L. Purdon, Emery N. Brown, Riccardo Barbieri
2010 J jnl
Characterizing Nonlinear Heartbeat Dynamics Within a Point Process Framework.
IEEE Trans. Biomed. Eng.
Zhe Chen, Emery N. Brown, Riccardo Barbieri
2010 Misc conf
Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG.
ICASSP
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
2010 Misc conf
Variational Bayesian inference for point process generalized linear models in neural spike trains analysis.
ICASSP
Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Emery N. Brown
2009 J jnl
Assessment of Autonomic Control and Respiratory Sinus Arrhythmia Using Point Process Models of Human Heart Beat Dynamics.
IEEE Trans. Biomed. Eng.
Zhe Chen, Emery N. Brown, Riccardo Barbieri
2009 Misc conf
Assessment of baroreflex control of heart rate during general anesthesia using a point process method.
ICASSP
Zhe Chen, Patrick L. Purdon, Eric T. Pierce, Grace Harrell, Emery N. Brown, Riccardo Barbieri
2009 J jnl
Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States.
Neural Comput.
Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson, Emery N. Brown
2008 Misc conf
A study of probabilistic models for characterizing human heart beat dynamics in autonomic blockade control.
ICASSP
Zhe Chen, Emery N. Brown, Riccardo Barbieri
2007 J jnl
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans.
Comput. Intell. Neurosci.
Zhe Chen, Shinji Ohara, Jianting Cao, François-Benoît Vialatte, Fred Lenz, Andrzej Cichocki
2006 — conf
Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition.
ICA
Jinwen Ma, Zhe Chen, Shun-ichi Amari
2006 B conf
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA.
IJCNN
Zhe Chen, Jinwen Ma
2005 J jnl
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method.
Neural Comput.
Zhe Chen, Suzanna Becker, Jeff Bondy, Ian C. Bruce, Simon Haykin
2005 — conf
Improved particle filtering schemes for target tracking.
ICASSP (4)
Zhe Chen, Thia Kirubarajan, Mark R. Morelande
2005 J jnl
Stochastic correlative firing for figure-ground segregation.
Biol. Cybern.
Zhe Chen
2005 J jnl
The Cocktail Party Problem.
Neural Comput.
Simon Haykin, Zhe Chen
2004 J jnl
Bayesian sequential state estimation for MIMO wireless communications.
Proc. IEEE
Simon Haykin, Kris Huber, Zhe Chen
2004 J jnl
Stochastic correlative learning algorithms.
IEEE Trans. Signal Process.
Simon Haykin, Zhe Chen, Suzanna Becker
2004 — conf
Theory of Monte Carlo sampling-based Alopex algorithms for neural networks.
ICASSP (5)
Zhe Chen, Simon Haykin, Suzanna Becker
2002 J jnl
On Different Facets of Regularization Theory.
Neural Comput.
Zhe Chen, Simon Haykin
2001 B conf
A new view on regularization theory.
SMC
Zhe Chen, Simon Haykin