Zhe Chen

Publication Activity (10 Years)

Years Active: 2001-2019
Publications (10 Years): 11

Top Topics

State Space Model

Probability Density Function

Receptive Fields

Maximum Likelihood Estimator

Top Venues

J. Comput. Neurosci.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Zhengdong Xiao, Sile Hu, Qiaosheng Zhang, Xiang Tian, Yaowu Chen, Jing Wang, Zhe Chen
Ensembles of change-point detectors: implications for real-time BMI applications. J. Comput. Neurosci. 46 (1) (2019)
Rahul Agarwal, Zhe Chen, Sridevi V. Sarma
A Novel Nonparametric Maximum Likelihood Estimator for Probability Density Functions. IEEE Trans. Pattern Anal. Mach. Intell. 39 (7) (2017)
Sile Hu, Qiaosheng Zhang, Jing Wang, Zhe Chen
A real-time rodent neural interface for deciphering acute pain signals from neuronal ensemble spike activity. ACSSC (2017)
Zhe Chen, Scott W. Linderman, Matthew A. Wilson
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes. MLSP (2016)
Rahul Agarwal, Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Sridevi V. Sarma
A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields. Neural Comput. 28 (7) (2016)
Rahul Agarwal, Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Sridevi V. Sarma
Neuronal encoding models of complex receptive fields: A comparison of nonparametric and parametric approaches. CISS (2016)
Wei Wu, Srikantan S. Nagarajan, Zhe Chen
Bayesian Machine Learning: EEG\/MEG signal processing measurements. IEEE Signal Process. Mag. 33 (1) (2016)
Zhe Chen, Jing Wang
Statistical analysis of neuronal population codes for encoding acute pain. ICASSP (2016)
Zhe Chen
Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures. Comput. Intell. Neurosci. 2015 (2015)
Wei Wu, Zhe Chen, Xiaorong Gao, Yuanqing Li, Emery N. Brown, Shangkai Gao
Probabilistic Common Spatial Patterns for Multichannel EEG Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 37 (3) (2015)
Zhe Chen
Identification of rat hippocampal population codes. ACC (2015)
Zhe Chen, Stephen N. Gomperts, Jun Yamamoto, Matthew A. Wilson
Neural Representation of Spatial Topology in the Rodent Hippocampus. Neural Comput. 26 (1) (2014)
Zhe Chen, Matthew A. Wilson
A variational nonparametric bayesian approach for inferring rat hippocampal population codes. EMBC (2013)
Zhe Chen, Emery N. Brown
State space model. Scholarpedia 8 (3) (2013)
Zhe Chen, Kazutaka Takahashi
Sparse Bayesian inference methods for decoding 3D reach and grasp kinematics and joint angles with primary motor cortical ensembles. EMBC (2013)
Sandun Kodituwakku, Sara W. Lazar, Premananda Indic, Zhe Chen, Emery N. Brown, Riccardo Barbieri
Point process time-frequency analysis of dynamic respiratory patterns during meditation practice. Medical Biol. Eng. Comput. 50 (3) (2012)
Zhe Chen, Fabian Kloosterman, Stuart Layton, Matthew A. Wilson
Transductive neural decoding for unsorted neuronal spikes of rat hippocampus. EMBC (2012)
Zhe Chen, Fabian Kloosterman, Emery N. Brown, Matthew A. Wilson
Uncovering spatial topology represented by rat hippocampal population neuronal codes. J. Comput. Neurosci. 33 (2) (2012)
Gordon Pipa, Zhe Chen, Sergio Neuenschwander, Bruss Lima, Emery N. Brown
Mapping of Visual Receptive Fields by Tomographic Reconstruction. Neural Comput. 24 (10) (2012)
Zhe Chen, Luca Citi, Patrick L. Purdon, Emery N. Brown, Riccardo Barbieri
Instantaneous assessment of autonomic cardiovascular control during general anesthesia. EMBC (2011)
Zhe Chen, Sujith Vijayan, ShiNung Ching, Greg Hale, Francisco J. Flores, Matthew A. Wilson, Emery N. Brown
Assessing neuronal interactions of cell assemblies during general anesthesia. EMBC (2011)
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG. NeuroImage 56 (4) (2011)
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945]. NeuroImage 57 (4) (2011)
Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Emery N. Brown
Variational Bayesian inference for point process generalized linear models in neural spike trains analysis. ICASSP (2010)
Zhe Chen, Emery N. Brown, Riccardo Barbieri
Characterizing Nonlinear Heartbeat Dynamics Within a Point Process Framework. IEEE Trans. Biomed. Eng. 57 (6) (2010)
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG. ICASSP (2010)
Zhe Chen, Emery N. Brown, Riccardo Barbieri
Assessment of Autonomic Control and Respiratory Sinus Arrhythmia Using Point Process Models of Human Heart Beat Dynamics. IEEE Trans. Biomed. Eng. 56 (7) (2009)
Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson, Emery N. Brown
Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States. Neural Comput. 21 (7) (2009)
Zhe Chen, Patrick L. Purdon, Eric T. Pierce, Grace Harrell, Emery N. Brown, Riccardo Barbieri
Assessment of baroreflex control of heart rate during general anesthesia using a point process method. ICASSP (2009)
Zhe Chen, Emery N. Brown, Riccardo Barbieri
A study of probabilistic models for characterizing human heart beat dynamics in autonomic blockade control. ICASSP (2008)
Zhe Chen, Shinji Ohara, Jianting Cao, François-Benoît Vialatte, Fred Lenz, Andrzej Cichocki
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans. Comput. Intell. Neurosci. 2007 (2007)
Jinwen Ma, Zhe Chen, Shun-ichi Amari
Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition. ICA (2006)
Zhe Chen, Suzanna Becker, Jeff Bondy, Ian C. Bruce, Simon Haykin
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method. Neural Comput. 17 (12) (2005)
Zhe Chen
Stochastic correlative firing for figure-ground segregation. Biol. Cybern. 92 (3) (2005)
Simon Haykin, Zhe Chen
The Cocktail Party Problem. Neural Comput. 17 (9) (2005)
Zhe Chen, Thia Kirubarajan, Mark R. Morelande
Improved particle filtering schemes for target tracking. ICASSP (4) (2005)
Zhe Chen, Simon Haykin, Suzanna Becker
Theory of Monte Carlo sampling-based Alopex algorithms for neural networks. ICASSP (5) (2004)
Simon Haykin, Kris Huber, Zhe Chen
Bayesian sequential state estimation for MIMO wireless communications. Proc. IEEE 92 (3) (2004)
Simon Haykin, Zhe Chen, Suzanna Becker
Stochastic correlative learning algorithms. IEEE Trans. Signal Process. 52 (8) (2004)
Zhe Chen, Simon Haykin
On Different Facets of Regularization Theory. Neural Comput. 14 (12) (2002)
Zhe Chen, Simon Haykin
A new view on regularization theory. SMC (2001)