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ORCIDZhe Chen 0001
Person information
- affiliation: New York University School of Medicine, Department of Psychiatry / Neuroscience and Physiology, NY, USA
- affiliation (former): Massachusetts General Hospital, Harvard Medical School, Neuroscience Statistics Research Laboratory, Boston, MA, USA
Other persons with the same name
- Zhe Chen — disambiguation page
- Zhe Chen 0002
![[0000-0002-3508-7287]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3508-7287")
— Technical University of Munich, Institute for Electrical Drive Systems and Power Electronics, Germany - Zhe Chen 0003 — Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences / Picower Institute for Learning and Memory, Cambridge, MA, USA
- Zhe Chen 0004 — Hohai University, College of Computer and Information, Nanjing, China (and 1 more)
- Zhe Chen 0005 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, China
- Zhe Chen 0006 — Huawei Technologies, Beijing, China (and 1 more)
- Zhe Chen 0007 — Aalborg University, Institute of Energy Technology, Denmark
- Zhe Chen 0008 — Tsinghua University, State Key Laboratory of Automotive Safety and Energy, Beijing, China
- Zhe Chen 0009 — University of Edinburgh, Institute for Digital Communications School of Engineering, Li-Fi R&D Centre, UK
- Zhe Chen 0010 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Zhe Chen 0011 — Nanjing University of Aeronautics and Astronautics, China (and 1 more)
- Zhe Chen 0012 — Yale University, Department of Diagnostic Radiology, New Haven, CT, USA
- Zhe Chen 0013 — University of Sydney, School of Computer ScienceNSW, Australia (and 1 more)
- Zhe Chen 0014 — University of Michigan, USA
- Zhe Chen 0015 — China-Singapore International Joint Research Institute, Nanyang Technological University, Singapore (and 1 more)
- Zhe Chen 0016 — Monash University, VIC, Australia
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Journal Articles
- 2023
[j31]Xiaohe Xue, Ralf D. Wimmer, Michael M. Halassa, Zhe Sage Chen:
Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation. Cogn. Comput. 15(4): 1167-1189 (2023)- 2022
- [j30]Zhe S. Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang:
Modern views of machine learning for precision psychiatry. Patterns 3(11): 100602 (2022) - 2021
- [j29]Yuru Song, Mingchen Yao, Helen Kemprecos, Áine Byrne, Zhengdong Xiao, Qiaosheng Zhang, Amrita Singh, Jing Wang, Zhe S. Chen:
Predictive coding models for pain perception. J. Comput. Neurosci. 49(2): 107-127 (2021) - [j28]Alfred Rajakumar, John Rinzel, Zhe S. Chen:
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation. Neural Comput. 33(10): 2603-2645 (2021) - [j27]Zhenfu Wen, Zhe Sage Chen, Mohammed R. Milad:
Fear extinction learning modulates large-scale brain connectivity. NeuroImage 238: 118261 (2021) - 2020
- [j26]Mengyu Tu, Ruohe Zhao, Avital Adler, Wen-Biao Gan, Zhe S. Chen:
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus. Neural Comput. 32(6): 1144-1167 (2020) - 2019
- [j25]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): 107-124 (2019) - 2017
- [j24]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): 1294-1308 (2017) - 2016
- [j23]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): 1356-1387 (2016) - [j22]Wei Wu, Srikantan S. Nagarajan, Zhe Chen:
Bayesian Machine Learning: EEG\/MEG signal processing measurements. IEEE Signal Process. Mag. 33(1): 14-36 (2016) - 2015
- [j21]Zhe Chen:
Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures. Comput. Intell. Neurosci. 2015: 493769:1-493769:11 (2015) - [j20]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): 639-653 (2015) - 2014
- [j19]Wei Wu, Asohan Amarasingham, Zhe (Sage) Chen, Sung-Phil Kim:
Modeling and Analysis of Neural Spike Trains. Comput. Intell. Neurosci. 2014: 161203:1-161203:2 (2014) - [j18]Zhe Chen, Stephen N. Gomperts, Jun Yamamoto, Matthew A. Wilson:
Neural Representation of Spatial Topology in the Rodent Hippocampus. Neural Comput. 26(1): 1-39 (2014) - 2013
- [j17]Zhe Chen, Emery N. Brown:
State space model. Scholarpedia 8(3): 30868 (2013) - 2012
- [j16]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): 227-255 (2012) - [j15]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): 261-275 (2012) - [j14]Gordon Pipa, Zhe Chen, Sergio Neuenschwander, Bruss Lima, Emery N. Brown:
Mapping of Visual Receptive Fields by Tomographic Reconstruction. Neural Comput. 24(10): 2543-2578 (2012) - 2011
- [j13]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): 1929-1945 (2011) - [j12]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): 1631 (2011) - 2010
- [j11]Theodore W. Berger, Zhe (Sage) Chen, Andrzej Cichocki, Karim G. Oweiss, Rodrigo Quian Quiroga, Nitish V. Thakor:
Signal Processing for Neural Spike Trains. Comput. Intell. Neurosci. 2010: 698751:1-698751:2 (2010) - [j10]Zhe Chen, Emery N. Brown, Riccardo Barbieri:
Characterizing Nonlinear Heartbeat Dynamics Within a Point Process Framework. IEEE Trans. Biomed. Eng. 57(6): 1335-1347 (2010) - 2009
- [j9]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): 1797-1862 (2009) - [j8]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): 1791-1802 (2009) - 2007
- [j7]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) - 2005
- [j6]Zhe Chen:
Stochastic correlative firing for figure-ground segregation. Biol. Cybern. 92(3): 192-198 (2005) - [j5]Simon Haykin, Zhe Chen:
The Cocktail Party Problem. Neural Comput. 17(9): 1875-1902 (2005) - [j4]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): 2648-2671 (2005) - 2004
- [j3]Simon Haykin, Kris Huber, Zhe Chen:
Bayesian sequential state estimation for MIMO wireless communications. Proc. IEEE 92(3): 439-454 (2004) - [j2]Simon Haykin, Zhe Chen, Suzanna Becker:
Stochastic correlative learning algorithms. IEEE Trans. Signal Process. 52(8): 2200-2209 (2004) - 2002
- [j1]Zhe Chen, Simon Haykin:
On Different Facets of Regularization Theory. Neural Comput. 14(12): 2791-2846 (2002)
Conference and Workshop Papers
- 2021
- [c27]David Geng, Zhe (Sage) Chen:
Auxiliary Classifier Generative Adversarial Network for Interictal Epileptiform Discharge Modeling and EEG Data Augmentation. NER 2021: 1130-1133 - 2019
- [c26]Yuru Song, Helen Kemprecos, Jing Wang, Zhe S. Chen:
A Predictive Coding Model for Evoked and Spontaneous Pain Perception. EMBC 2019: 2964-2967 - 2018
- [c25]Sile Hu, Zhengdong Xiao, Qiaosheng Zhang, Louise Urien, Jing Wang, Zhe Chen:
Practical Considerations of a BMI Application for Detecting Acute Pain Signals. ICASSP 2018: 831-835 - 2017
- [c24]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: 93-97 - [c23]Zhe Chen, Shizhao Liu, Jose Iriarte-Diaz, Nicholas G. Hatsopoulos, Callum F. Ross, Kazutaka Takahashi:
Latent variable models for uncovering motor cortical ensemble dynamics. ACSSC 2017: 331-335 - [c22]Zhe Chen, Sile Hu, Qiaosheng Zhang, Jing Wang:
Quickest detection for abrupt changes in neuronal ensemble spiking activity using model-based and model-free approaches. NER 2017: 481-484 - 2016
- [c21]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: 562-567 - [c20]Zhe Chen, Jing Wang:
Statistical analysis of neuronal population codes for encoding acute pain. ICASSP 2016: 829-833 - [c19]Zhe Chen, Scott W. Linderman, Matthew A. Wilson:
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes. MLSP 2016: 1-6 - 2015
- [c18]Zhe Chen:
Identification of rat hippocampal population codes. ACC 2015: 3783-3784 - 2013
- [c17]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: 5930-5933 - [c16]Zhe Chen, Matthew A. Wilson:
A variational nonparametric bayesian approach for inferring rat hippocampal population codes. EMBC 2013: 7092-7095 - 2012
- [c15]Zhe Chen, Fabian Kloosterman, Stuart Layton, Matthew A. Wilson:
Transductive neural decoding for unsorted neuronal spikes of rat hippocampus. EMBC 2012: 1310-1313 - 2011
- [c14]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: 4175-4178 - [c13]Zhe Chen, Luca Citi, Patrick L. Purdon, Emery N. Brown, Riccardo Barbieri:
Instantaneous assessment of autonomic cardiovascular control during general anesthesia. EMBC 2011: 8444-8447 - 2010
- [c12]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: 501-504 - [c11]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: 2086-2089 - 2009
- [c10]Jordi Solé i Casals, François B. Vialatte, Zhe (Sage) Chen, Andrzej Cichocki:
Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination. BIOSIGNALS 2009: 468-475 - [c9]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: 333-336 - 2008
- [c8]Jordi Solé i Casals, François B. Vialatte, Zhe (Sage) Chen, Andrzej Cichocki:
Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease. BIOSIGNALS (1) 2008: 232-235 - [c7]Zhe Chen, Emery N. Brown, Riccardo Barbieri:
A study of probabilistic models for characterizing human heart beat dynamics in autonomic blockade control. ICASSP 2008: 481-484 - 2007
- [c6]Marko Jankovic, Pablo Martinez, Zhe (Sage) Chen, Andrzej Cichocki:
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis. ICONIP (1) 2007: 527-536 - 2006
- [c5]Jinwen Ma, Zhe Chen, Shun-ichi Amari:
Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition. ICA 2006: 838-845 - [c4]Zhe (Sage) Chen, Andrzej Cichocki, Tomasz M. Rutkowski:
Constrained non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer Disease. ICASSP (5) 2006: 893-896 - 2005
- [c3]Zhe Chen, Thia Kirubarajan, Mark R. Morelande:
Improved particle filtering schemes for target tracking. ICASSP (4) 2005: 145-148 - 2004
- [c2]Zhe Chen, Simon Haykin, Suzanna Becker:
Theory of Monte Carlo sampling-based Alopex algorithms for neural networks. ICASSP (5) 2004: 501-504 - 2001
- [c1]Zhe Chen, Simon Haykin:
A new view on regularization theory. SMC 2001: 1642-1647
Reference Works
- 2014
- [r2]Zhe Chen, Emery N. Brown:
Generalized Linear Models for Point Process Analyses of Neural Spiking Activity. Encyclopedia of Computational Neuroscience 2014 - [r1]Zhe Chen, Emery N. Brown:
State-Space Models for the Analysis of Neural Spike Train and Behavioral Data. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2023
- [i2]Ran Wang, Zhe Sage Chen:
Large-scale Foundation Models and Generative AI for BigData Neuroscience. CoRR abs/2310.18377 (2023) - 2022
- [i1]Zhe Sage Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang:
Modern Views of Machine Learning for Precision Psychiatry. CoRR abs/2204.01607 (2022)
Coauthor Index
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