Zhe Chen

According to our database1, Zhe Chen authored at least 43 papers between 2001 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Ensembles of change-point detectors: implications for real-time BMI applications.
Journal of Computational Neuroscience, 2019

2017
A Novel Nonparametric Maximum Likelihood Estimator for Probability Density Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A real-time rodent neural interface for deciphering acute pain signals from neuronal ensemble spike activity.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Bayesian Machine Learning: EEG\/MEG signal processing measurements.
IEEE Signal Process. Mag., 2016

A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields.
Neural Computation, 2016

Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Statistical analysis of neuronal population codes for encoding acute pain.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Neuronal encoding models of complex receptive fields: A comparison of nonparametric and parametric approaches.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
Probabilistic Common Spatial Patterns for Multichannel EEG Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures.
Comp. Int. and Neurosc., 2015

Identification of rat hippocampal population codes.
Proceedings of the American Control Conference, 2015

2014
State-Space Models for the Analysis of Neural Spike Train and Behavioral Data.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Generalized Linear Models for Point Process Analyses of Neural Spiking Activity.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Neural Representation of Spatial Topology in the Rodent Hippocampus.
Neural Computation, 2014

2013
State space model.
Scholarpedia, 2013

A variational nonparametric bayesian approach for inferring rat hippocampal population codes.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Sparse Bayesian inference methods for decoding 3D reach and grasp kinematics and joint angles with primary motor cortical ensembles.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Mapping of Visual Receptive Fields by Tomographic Reconstruction.
Neural Computation, 2012

Point process time-frequency analysis of dynamic respiratory patterns during meditation practice.
Med. Biol. Engineering and Computing, 2012

Uncovering spatial topology represented by rat hippocampal population neuronal codes.
Journal of Computational Neuroscience, 2012

Transductive neural decoding for unsorted neuronal spikes of rat hippocampus.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG.
NeuroImage, 2011

Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945].
NeuroImage, 2011

Assessing neuronal interactions of cell assemblies during general anesthesia.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Instantaneous assessment of autonomic cardiovascular control during general anesthesia.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Characterizing Nonlinear Heartbeat Dynamics Within a Point Process Framework.
IEEE Trans. Biomed. Engineering, 2010

Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG.
Proceedings of the IEEE International Conference on Acoustics, 2010

Variational Bayesian inference for point process generalized linear models in neural spike trains analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Assessment of Autonomic Control and Respiratory Sinus Arrhythmia Using Point Process Models of Human Heart Beat Dynamics.
IEEE Trans. Biomed. Engineering, 2009

Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States.
Neural Computation, 2009

Assessment of baroreflex control of heart rate during general anesthesia using a point process method.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
A study of probabilistic models for characterizing human heart beat dynamics in autonomic blockade control.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans.
Comp. Int. and Neurosc., 2007

2006
Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
The Cocktail Party Problem.
Neural Computation, 2005

A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method.
Neural Computation, 2005

Stochastic correlative firing for figure-ground segregation.
Biological Cybernetics, 2005

Improved particle filtering schemes for target tracking.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Stochastic correlative learning algorithms.
IEEE Trans. Signal Processing, 2004

Bayesian sequential state estimation for MIMO wireless communications.
Proceedings of the IEEE, 2004

Theory of Monte Carlo sampling-based Alopex algorithms for neural networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
On Different Facets of Regularization Theory.
Neural Computation, 2002

2001
A new view on regularization theory.
Proceedings of the IEEE International Conference on Systems, 2001


  Loading...