Zhe Chen
Orcid: 0000-0002-6483-6056Affiliations:
- New York University School of Medicine, Department of Psychiatry / Neuroscience and Physiology, NY, USA
- Massachusetts General Hospital, Harvard Medical School, Neuroscience Statistics Research Laboratory, Boston, MA, USA (former)
According to our database1,
Zhe Chen
authored at least 64 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight].
IEEE Signal Process. Mag., November, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation.
Cogn. Comput., 2023
2022
2021
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation.
Neural Comput., 2021
Auxiliary Classifier Generative Adversarial Network for Interictal Epileptiform Discharge Modeling and EEG Data Augmentation.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
2020
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.
Neural Comput., 2020
2019
J. Comput. Neurosci., 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
A Novel Nonparametric Maximum Likelihood Estimator for Probability Density Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Quickest detection for abrupt changes in neuronal ensemble spiking activity using model-based and model-free approaches.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 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
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE Signal Process. Mag., 2016
A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields.
Neural Comput., 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
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
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures.
Comput. Intell. Neurosci., 2015
Proceedings of the American Control Conference, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Neural Comput., 2014
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
Neural Comput., 2012
Point process time-frequency analysis of dynamic respiratory patterns during meditation practice.
Medical Biol. Eng. Comput., 2012
Uncovering spatial topology represented by rat hippocampal population neuronal codes.
J. Comput. Neurosci., 2012
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
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
IEEE Trans. Biomed. Eng., 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. Eng., 2009
Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States.
Neural Comput., 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
Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination.
Proceedings of the BIOSIGNALS 2009, 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
Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008
2007
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans.
Comput. Intell. Neurosci., 2007
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA.
Proceedings of the International Joint Conference on Neural Networks, 2006
Constrained non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer Disease.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 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
A Novel Model-Based Hearing Compensation Design Using a Gradient-Free Optimization Method.
Neural Comput., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proc. IEEE, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2002
2001
Proceedings of the IEEE International Conference on Systems, 2001