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Zhe Chen 0001

Zhe S. Chen 0001 – Zhe (Sage) Chen – Zhe Sage Chen

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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

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Zhe Chen — disambiguation page
Zhe Chen 0002 — 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
Zhe Chen 0017 — Nanjing University, OpenGVLab, Shanghai AI Laboratory, China
Zhe Chen 0018 — Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China
Zhe Chen 0019 — Sichuan University, Business School, Chengdu, China (and 2 more)
Zhe Chen 0020 — Chengdu University of Technology, College of Mathematics and Physics, Digital Hu Line Research Institute, China (and 2 more)
Zhe Chen 0021 — Southeast University, State Key Laboratory of Millimeter-Waves, School of Information Science and Engineering, China (and 2 more)
Zhe Chen 0022 — Beihang University, School of Economics and Management, Beijing, China (and 1 more)
Zhe Chen 0023 — Innovation Lab, PayPal, Singapore (and 1 more)
Zhe Chen 0024 — Shanghai Jiao Tong University, Cooperative Medianet Innovation Center, China
Zhe Chen 0025
Zhe Chen 0026
Zhe Chen 0027
Zhe Chen 0028
Zhe Chen 0029
Zhe Chen 0030
Zhe Chen 0031
Zhe Chen 0032
Zhe Chen 0033
Zhe Chen 0034

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Journal Articles

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2024
[j32]
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Zhe Sage Chen, Xingyu Li:
Emerging Brain-to-Content Technologies From Generative AI and Deep Representation Learning [In the Spotlight]. IEEE Signal Process. Mag. 41(6): 94-104 (2024)
2023
[j31]
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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]
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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]
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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]
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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]
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Zhenfu Wen, Zhe Sage Chen, Mohammed R. Milad:
Fear extinction learning modulates large-scale brain connectivity. NeuroImage 238: 118261 (2021)
2020
[j26]
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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]
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  - journals/jcns/XiaoHZTCW019
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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]
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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]
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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]
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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]
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Zhe Chen:
Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures. Comput. Intell. Neurosci. 2015: 493769:1-493769:11 (2015)
[j20]
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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]
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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]
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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]
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  - journals/scholarpedia/ChenB13
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Zhe Chen, Emery N. Brown:
State space model. Scholarpedia 8(3): 30868 (2013)
2012
[j16]
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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]
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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]
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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]
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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]
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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]
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  - journals/cin/BergerCCOQT10
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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]
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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]
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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]
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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]
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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]
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Zhe Chen:
Stochastic correlative firing for figure-ground segregation. Biol. Cybern. 92(3): 192-198 (2005)
[j5]
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  - journals/neco/HaykinC05
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Simon Haykin, Zhe Chen:
The Cocktail Party Problem. Neural Comput. 17(9): 1875-1902 (2005)
[j4]
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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]
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Simon Haykin, Kris Huber, Zhe Chen:
Bayesian sequential state estimation for MIMO wireless communications. Proc. IEEE 92(3): 439-454 (2004)
[j2]
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Simon Haykin, Zhe Chen, Suzanna Becker:
Stochastic correlative learning algorithms. IEEE Trans. Signal Process. 52(8): 2200-2209 (2004)
2002
[j1]
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Zhe Chen, Simon Haykin:
On Different Facets of Regularization Theory. Neural Comput. 14(12): 2791-2846 (2002)

Conference and Workshop Papers

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2024
[c29]
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  - conf/icassp/XianC24
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Qiqi Xian, Zhe Sage Chen:
Estimating Directed Spectral Information Flow between Multi-Resolution Time Series. ICASSP 2024: 2156-2159
2021
[c28]
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David Geng, Zhe (Sage) Chen:
Auxiliary Classifier Generative Adversarial Network for Interictal Epileptiform Discharge Modeling and EEG Data Augmentation. NER 2021: 1130-1133
2019
[c27]
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Yuru Song, Helen Kemprecos, Jing Wang, Zhe S. Chen:
A Predictive Coding Model for Evoked and Spontaneous Pain Perception. EMBC 2019: 2964-2967
2018
[c26]
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  - conf/icassp/HuXZUWC18
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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
[c25]
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  - conf/acssc/HuZW017
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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
[c24]
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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
[c23]
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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
[c22]
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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
[c21]
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Zhe Chen, Jing Wang:
Statistical analysis of neuronal population codes for encoding acute pain. ICASSP 2016: 829-833
[c20]
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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
[c19]
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Zhe Chen:
Identification of rat hippocampal population codes. ACC 2015: 3783-3784
2013
[c18]
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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
[c17]
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Zhe Chen, Matthew A. Wilson:
A variational nonparametric bayesian approach for inferring rat hippocampal population codes. EMBC 2013: 7092-7095
2012
[c16]
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  - conf/embc/0001KLW12
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Zhe Chen, Fabian Kloosterman, Stuart Layton, Matthew A. Wilson:
Transductive neural decoding for unsorted neuronal spikes of rat hippocampus. EMBC 2012: 1310-1313
2011
[c15]
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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
[c14]
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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
[c13]
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  - conf/icassp/WuCGB10
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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
[c12]
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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
[c11]
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  - conf/biostec/CasalsVCC09
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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
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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
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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
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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
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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
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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
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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
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Zhe Chen, Jinwen Ma:
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA. IJCNN 2006: 465-472
2005
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Zhe Chen, Thia Kirubarajan, Mark R. Morelande:
Improved particle filtering schemes for target tracking. ICASSP (4) 2005: 145-148
2004
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Zhe Chen, Simon Haykin, Suzanna Becker:
Theory of Monte Carlo sampling-based Alopex algorithms for neural networks. ICASSP (5) 2004: 501-504
2001
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Zhe Chen, Simon Haykin:
A new view on regularization theory. SMC 2001: 1642-1647

Reference Works

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2014
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Zhe Chen, Emery N. Brown:
Generalized Linear Models for Point Process Analyses of Neural Spiking Activity. Encyclopedia of Computational Neuroscience 2014
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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

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2023
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Ran Wang, Zhe Sage Chen:
Large-scale Foundation Models and Generative AI for BigData Neuroscience. CoRR abs/2310.18377 (2023)
2022
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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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