Computational Cognitive Engineering Lab

    PUBLICATIONS

    Journal Papers

    1. Shenghui Wu, Xiang Zhang, and Yiwen Wang*, Neural Manifold Constraint for Spike Prediction Models under Behavioral Reinforcement, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2024.
    2. Shuhang Chen, Xiang Zhang, Xiang Shen, Yifan Huang, and Yiwen Wang*, Online Estimating Pairwise Neuronal Functional Connectivity in Brain-Machine Interface, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2024.
    3. Jieyuan Tan, Xiang Zhang, Shenghui Wu, Zhiwei Song, Shuhang Chen, Yifan Huang and Yiwen Wang*, Audio-induced medial prefrontal cortical dynamics enhances coadaptive learning in brain–machine interfaces, Journal of Neural Engineering, 2023.
    4. Xiang Zhang, Shuhang Chen and Yiwen Wang*, Kernel Reinforcement Learning-Assisted Adaptive Decoder Facilitates Stable and Continuous Brain Control Tasks, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023.
    5. Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Zhuliang Yu, and Yiwen Wang*, Intermediate Sensory Feedback Assisted Multi-Step Neural Decoding for Reinforcement Learning Based Brain-Machine Interfaces, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022.
    6. Y. Huang, X. Zhang, X. Shen, S. Chen, J. Principe, and Yiwen Wang*, Extracting synchronized neuronal activity from local field potentials based on a marked point process framework, Journal of Neural Engineering, 2022.
    7. S. Wu, C. Qian, X. Shen, X. Zhang, Y. Huang, S. Chen, and Yiwen Wang*, Spike prediction on primary motor cortex from medial prefrontal cortex during task learning, Journal of Neural Engineering, 2022.
    8. S. Chen, X. Zhang, X. Shen, Y. Huang and Yiwen Wang*, Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021.
    9. Yiwen Wang, J. Principe, Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain? Machine Interface Adaptation, IEEE Signal Processing Magazine, 2021
    10. X. Liu, S. Chen, X. Shen, X. Zhang, and Yiwen Wang*, A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding, Entropy, 2021.
    11. X. Liu, X. Shen, X. Zhang, S. Chen, and Yiwen Wang*, Hierarchical Dynamical Model for Multiple Cortical Neural Decoding, Neural Computation, 2021.
    12. X. Shen, X. Zhang, Y. Huang, S. Chen, and Yiwen Wang*, Task Learning over Multi-Day Recording via Internally Rewarded Reinforcement Learning based Brain Machine Interfaces, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020.
    13. C. Qian, X. Sun, S. Zhang, H. Li, X. Zheng, and Yiwen Wang*, G. Pan*, Binless kernel machine: modeling spike train transformation for cognitive neural-prostheses, Neural Computation, 2020.
    14. Yiwen Wang*, J. Principe, Reinforcement Learning in Reproducing Kernel Hilbert Space Enables Continuous Adaptation for Brain Machine Interfaces, IEEE Signal Processing Magazine, 2020.
    15. X. Zhang, C. Libedinsky, R. So, J. Principe and Yiwen Wang*, Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces, IEEE Transactions on Neural Systems & Rehabilitation Engineering (cover article), 2019.
    16. Y. Qi, K. Lin2, Y. Wang*, Q. Lian, S. Wang, H. Jiang, J. Zhu, X. Zheng, Z. Wu, Yiwen Wang*, G. Pan, Epileptic Focus Localization via Brain Network Analysis on Riemannian Manifolds, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2019.
    17. Xin Zhang, Guanghua Xu, Xiang Mou, Aravind Ravi, Min Li, Yiwen Wang*, Ning Jiang, A Convolution Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2019.
    18. J. Li, Z. Yu, Z. Gu, M. Tan,Yiwen Wang*, Y. Li, A Convolution Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2019.
    19. D. Xing, C. Qian, H. Li, S. Zhang, Q. Zhang, Y. Hao, X. Zheng, Z. Wu, Yiwen Wang*, G. Pan*, Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM, IEEE transactions on cognitive and developmental systems, 2018.
    20. C. Qian, X. Sun, S. Zhang, D. Xing, H. Li, X. Zheng, G. Pan*, Yiwen Wang*, Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model, Neural Computation, 2018.
    21. L. Jiang, Y. Wang, B. Cai, Yiwen Wang*, Spatial-temporal Feature Analysis on Single-Trial Event Related Potential for Face Identification, Frontiers in Computational Neuroscience, 2017.
    22. H. Li, Y. Hao, S. Zhang, Yiwen Wang*, W. Chen, X. Zheng, Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding, Behavioural Neurology, 2017.
    23. F. Wang, Yiwen Wang*, K. Xu, H. Li, Y. Liao, Q. Zhang, S. Zhang, X. Zheng, J. Principe Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interfaces, IEEE Trans. on Neural Networks and Learning, 2017.
    24. Y. Wang, Y. Qi, Yu, Yiwen Wang*, Z. Lei; X. Zhang, G. Pan, Delving into an alpha-stable Distribution in Noise Suppression for Seizure Detection from Scalp EEG, Journal of neural engineering, 2016.
    25. Yiwen Wang*, X. She, Y. Liao, H. Li, Q. Zhang, S. Zhang, X. Zheng, J. Principe, Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain Machine Interfaces, IEEE Trans. on Biomedical Engineering, (Cover article), 2016.
    26. Y. Liao, X. She,Yiwen Wang*, S. Zhang, Q. Zhang, X. Zheng and J. Principe, Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain-machine interfaces, Journal of Neural Engineering, 2015.
    27. Yiwen Wang*, F. Wang, K. Xu, Q. Zhang, S. Zhang, X. Zheng, Neural Control of a Tracking Task via Attention-gated Reinforcement Learning for Brain-Machine Interfaces, IEEE Transactions on Neural Systems & Rehabilitation Engineering (cover article), , 2015.
    28. Y. Wang. Qi, Y, J. Zhu, J. Zhang, Yiwen Wang*, X. Zheng, Z. Wu, Cauchy-based State-space model for Seizure Detection in a EEG Monitoring System IEEE Intelligent System, 2015.
    29. Y. Hao, Q. Zhang, M. Controzzi, C. Cipriani, Y. Li, J. Li, S. Zhang, Yiwen Wang*, W. Chen, M. Carrozza, X. Zheng, Distinct neural patterns enable grasp types decoding in monkey dorsal premotor cortex, Journal of Neural Engineering, 2014.
    30. K. Xu, Yiwen Wang*, F. Wang, Y. Liao, Q. Zhang, H. Li and X. Zheng, Neural Decoding using a Parallel Sequential Monte Carlo method on Point Processes with Ensemble Effect, BioMed Research International (formerly titled Journal of Biomedicine and Biotechnology),, 2014.
    31. D. Wang, Q. Zhang, Y. Li, Yiwen Wang*, F.J. Zhu, S. Zhang, X. Zheng, Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2-D center out task, Journal of Neural Engineering, 2014.
    32. X. Hu, Yiwen Wang*, T. Zhao, and A. Gunduz, Neural Coding for Effective Rehabilitation, BioMed Research International, 2014.
    33. Z. Yang, C. W. Chan, and Yiwen Wang*, Robust Stabilization of Nonlinear Systems with Uncertain Varying Control Coefficient,Mathematical Problems in Engineering, 2014.
    34. F. Wang, K. Xu , Q. Zhang and Yiwen Wang*, X. Zheng, A multi-step neural control for motor brain-machine interface by reinforcement learning, Applied Mechanics and Materials, 2014.
    35. Y. Liao, H. Li, X. Chen, Q. Zhang, Yiwen Wang*, X. Zheng, Tracking time variant neuron tuning properties of brain machine interfaces, Applied Mechanics and Materials, 2014.
    36. K. Xu, Yiwen Wang*, Y. Wang, F. Wang, Q. Zhang, S. Zhang, W. Chen, X. Zheng, Local-learning-based neuron selection for grasping gesture prediction in motor Brain Machine Interfaces, Journal of Neural Engineering, 2013.
    37. X. Lou, S. Xiao, Y. Qi, X. Hu, Yiwen Wang*, X. Zheng, CorticoMuscular Coherence Analysis on Hand Movement Distinction for Active Rehabilitation, Computational and Mathematical Methods in Medicine, 2013.
    38. Y. Cao, Y. Hao, Y. Liao, K. Xu, Yiwen Wang*, S. Zhang, Q. Zhang, W. Chen and X. Zheng, Information Analysis on Neural Tuning in Dorsal Premotor Cortex for Reaching and Grasping, Computational and Mathematical Methods in Medicine, 2013.
    39. Y. Hao, Q. Zhang, S. Zhang, T. Zhao, Yiwen Wang*, W. Chen, X. Zheng, Decoding Grasp Movement from Monkey Premotor Cortex for Real-time Prosthetic Hand Control, Chinese Science Bulletin, 2013.
    40. C. H Im, L. Ding, Yiwen Wang*, S. P. Kim, Computational Methods in Neuroengineering, Computational and Mathematical Methods in Medicine, 2013.
    41. B. Wu, F. Yang, J. Zhang, Yiwen Wang*, X. Zheng, W. Chen, A frequency-temporal-spatial method for motor-related electroencephalography pattern recognition by comprehensive feature optimization, Computational and Mathematical Methods in Medicine, 2012.
    42. Q. Zhang, S. Zhang, Y. Hao, H. Zhang, J. Zhu, T. Zhao, Yiwen Wang*, J. Zhang, X. Zheng, W. Chen, Development of an invasive brain- machine interface with a monkey model, Computational and Mathematical Methods in Medicine, 2012.
    43. Y. Yang, Yiwen Wang*, Sun Y. X., Universal stabilization design for uncertain nonlinear system with sign-switching unknown control direction, International Journal of Control, 2012.
    44. Yiwen Wang*, B. Shi, Improved Binocular Vergence Control via a Neural Network Trained to Maximize an Internally Derived Reward, IEEE trans. on Autonomous Mental Development, 2011.
    45. S. Zhang, Y. Liao, X. Zheng, W. Chen, Yiwen Wang*, Decoding the nonstationary neural activity in motor cortex for brain machine interfaces, International Journal of Imaging Systems and Technology, 2011.
    46. Yang, Z., Chan, C. W., Yiwen Wang*, A high-accuracy detection and estimation method of intermodulated sinusoids, IEEE Trans. Circuits & Systems I: Regular Papers, 2011.
    47. Z. Yang, S. C. P. Yam, L. K. Li, Yiwen Wang*, Robust control for uncertain nonlinear systems with state-dependent control direction, International Journal of Robust & Nonlinear Control, 2011.
    48. Yiwen Wang*, J. Sanchez, J. Principe, Instantaneous Estimation of Motor Cortical Neural Encoding for online Brain-Machine Interfaces, Journal of Neural Engineering, 2010.
    49. Yiwen Wang*, B. Shi, Autonomous Development of Vergence Control Driven by Disparity Energy Neuron Populations, Neural Computation, 2010.
    50. Z. Yang, S. C. P. Yam, L. K. Li and Yiwen Wang*, B. Shi, Universal repetitive learning control for nonparametric uncertainty and unknown state-dependent control direction matrix, IEEE Trans. Automatic Control, 2010.
    51. Yiwen Wang, A. Paiva, J. Principe, J. Sanchez, Sequential Monte Carlo Point Process Estimation of Kinematics from Neural Spiking Activity for Brain Machine Interfaces, Neural Computation, 2009.
    52. Yiwen Wang, J. Principe, J. Sanchez, Ascertaining neuron importance for kinematics decoding by information theoretical analysis in motor brain machine interfaces, Neural Networks, 2009.
    53. W. Liu, Il Park, Yiwen Wang, J. Principe, Extended Kernel Recursive Least Squares Algorithm, IEEE transactions on Signal Processing, 2009.

    Conference Papers

    1. Zhiwei Song, Xiang Zhang, Yiwen Wang*, A Novel KL Divergence Optimization Method for Aligning Neural Population Patterns During Task Learning, 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hawaii, USA, 2023
    2. Shuhang Chen, Yiwen Wang*, A Bayesian Decoder Representing Single-Directional Connectivity between Neurons in Brain-Machine Interface, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Sydney, Australia, 2023
    3. Xiang Zhang, Yiwen Wang*, A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Sydney, Australia, 2023
    4. Mingdong Li, Shuhang Chen, Yiwen Wang*, Tracking the Dynamic Functional Neural Connectivity via Conjugate Gradient Optimization, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Sydney, Australia, 2023
    5. Yifan Huang, Xiang Zhang, Yiwen Wang*, Decoding Ensemble Spike States from Extracellular Field Potentials, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Sydney, Australia, 2023
    6. Jieyuan Tan, Xiang Zhang, Shenghui Wu, Yiwen Wang*, State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Sydney, Australia, 2023
    7. Shenghui Wu, Yiwen Wang*, Applying Neural Manifold Constraint on Point Process Model for Neural Spike Prediction, 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC), Sydney, Australia, 2023
    8. Zhiwei Song, Xiang Zhang, Yiwen Wang*, Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task in Brain-Machine Interface, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, Scotland, 2022
    9. Jieyuan Tan, Xiang Shen, Xiang Zhang, Zhiwei Song, Yiwen Wang*, Estimating Reward Function from Medial Prefrontal Cortex Cortical Activity using Inverse Reinforcement Learning, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, Scotland, 2022
    10. Mingdong Li, Shuhang Chen, Xi Liu, Zhiwei Song, Yiwen Wang*, Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, Scotland, 2022
    11. Y. Huang, C. Qian, X. Zhang, Yiwen Wang*, Cross-Intensity-Based Spatial-Temporal Clustering of Spike Trains for Brain State Estimation, IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2021
    12. S. Chen, X. Liu, Yiwen Wang*, Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
    13. X. Zhang, Z. Song, Yiwen Wang*, Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
    14. J. Tan, X. Shen, X. Zhang, Yiwen Wang*, Multivariate Encoding Analysis of Medial Prefrontal Cortex Cortical Activity during Task Learning, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
    15. X. Shen, X. Zhang, Yiwen Wang*, Kernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
    16. S. Chen, X. Zhang, X. Shen, Y. Huang, Yiwen Wang*, Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, 2020
    17. X. Shen, X. Zhang, Y. Huang, S. Chen, Yiwen Wang*, Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, 2020
    18. X. Zhang, Yiwen Wang*, Covariant Cluster Transfer for Kernel Reinforcement Learning in Brain-Machine Interface, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, 2020
    19. S. Wu, C. Qian, X. Shen, X. Zhang, Y. Huang,S. Chen, Yiwen Wang*, Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning, IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020
    20. Y. Huang, X. Shen, X. Zhang, S. Chen, Yiwen Wang*, Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats, IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020
    21. W. Hong, P. Yang, Yiwen Wang*, K. Tang Multi-Objective Optimization-Based Latency-Aware Layer-Wise Magnitude-Based Pruning for DNN Compression, , the 16th internaltional conference on Parallel Problem Sovling from Nature, Leiden, Netherlands, 2020
    22. X. Shen, X. Zhang, S. Chen, Y. Huang, Yiwen Wang*, Modeling mPFC Activities in Reinforcement Learning Framework in Brain-Machine Interfaces, the 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
    23. C. Qian, X. Sun, Z. Yang, G. Pan, Yiwen Wang*, A K-Medoids based Point-Process Modeling on Neural Spike Transformation using Binless Kernel, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019
    24. X. Zhang, Yiwen Wang*, A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019
    25. Y. Huang, X. Shen, X. Zhang, S. Chen, Yiwen Wang*, Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019
    26. S. Chen, X. Zhang, X. Shen, Y. Huang, Yiwen Wang*, Decoding Transition between Kinematics Stages for Brain-Machine Interface, IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019
    27. X. Zhang, Jose Principe, Yiwen Wang*, A Kernel Reinforcement Learning Algorithm with Weight Transfer in Brain-Machine Interfaces, Invited session one–page paper, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019
    28. X. Zhang, J. Principe, Yiwen Wang*, Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
    29. Z. Zhang, S. Chen, Z. Yang, Yiwen Wang*, Tracking the Time Varying Neural Tuning via Adam on Point Process Observations, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
    30. H. Wang, B. Shi, Yiwen Wang*, Convolutional Neural Network for Single-trial Target Face-related Potential Detection, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
    31. X. Shen, S. Chen, Yiwen Wang*, Decoding mPFC activity contributes to better prediction of movement intention, 7th International BCI Conference, 2018
    32. J. Chen, K. Xu, Z. Yang, Yiwen Wang*, Detecting Abrupt Change in Neuronal Tuning via Adaptive Point Process Estimation, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
    33. J. Chen, K. Xu, Yiwen Wang*, Modelling Abrupt Alteration in Neuron Tuning Preference from Point Process Observation, minisymposia paper 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
    34. H. Li, F. Wang, Q. Zhang, S. Zhang, Yiwen Wang*, X. Zheng and J. Principe, Maximum Correntropy Based Attention-gated Reinforcement Learning Designed for Brain Machine Interface, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
    35. H. Li, Y. Liao, Q. Zhang, S. Zhang, Yiwen Wang*, Q. Zhang, S. Zhang, X. Zheng, rediction of Switching Time between Movement Preparation and Execution by Neural Activity in Monkey Premotor Cortex, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
    36. Y. Wang, L. Jiang, B. Cai, Yiwen Wang*, S. Zhang, and X. Zheng, A Closed-loop System for Rapid Face Retrieval by Combining EEG and Computer Vision, IEEE EMBS on Neural Engineering, 2015
    37. L. Wang, G. Sun, Z. Gui, Yiwen Wang*, S. Shang and X. Zheng, A Reconfigurable General Behavior Data Acquisition System for Motor Brain Machine Interface, IEEE EMBS on Neural Engineering, 2015
    38. G. Sun, L. Wang, Q. Zhang, Yiwen Wang*, K. Xu, S. Zhang, X. Zheng, Dorsal Premotor Cortex of the Macaque Monkey Participate Grasp Planning, IEEE EMBS on Neural Engineering, 2015
    39. Y. Cao, F. Wang, Q. Zhang, K. Xu, Yiwen Wang*, X. Zheng and Z. Wu, Decoding Motor Cortical Activities of Monkey: A Dataset, 2014. IJCNN '14. International Joint Conference on Neural Network, 2014
    40. Y. Liao, H. Li, Q. Zhang, Yiwen Wang*, X. Zheng, Decoding the Non-Stationary Neuron Spike Trains by Dual Monte Carlo Point Process Estimation in Motor Brain Machine Interfaces, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014
    41. Y. Li, D. Wang, Q. Zhang, Yiwen Wang*, S. Zhang, X. Zheng, The comparison of long-term decoding performance between low and high frequency local field potentials in macaque monkeys, 2014 4th IEEE International Conference on Information Science and Technology (ICIST), 2014
    42. Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Yiwen Wang*, X. Zheng, Clustering and observation on neuron tuning property for brain machine interfaces, 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014
    43. B. Cai, S. Xiao, L. Jiang, Yiwen Wang*, X. Zheng, A Rapid Face Recognition BCI System using Single-trial ERP, 26th International IEEE/EMBS Conference on Neural Engineering (NER), 2013
    44. L. Jiang, B. Cai, S. Xiao, Yiwen Wang*, W. Chen, X. Zheng, Semantic-based Sound Retrieval by ERP in Rapid Serial Auditory Presentation Paradigm, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
    45. S. Xiao, B. Cai, L. Jiang, Yiwen Wang*, W. Chen, X. Zheng, ERP component analysis for rapid image searching in finer categories, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
    46. X. Chen, Y. Liao, Yiwen Wang*, S. Zhang, Q. Zhang and X. Zheng, A shared control policy for center-out movement decoding in motor Brain-machine Interface, 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
    47. Y. Liao, Yiwen Wang*, X. Zheng, J. Principe, Mutual Information Analysis on Non-Stationary Neuron Importance for Brain Machine Interfaces, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012
    48. D. Wang; Y. Hao, X. Zhu, T. Zhao, Yiwen Wang*, Y. Chen, W. Chen, X. Zheng, FPGA Implementation of Hardware Processing Modules as Coprocessors in Brain-Machine Interfaces, 33th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2011
    49. K. Xu, Y. Wang, S. Zhang, T. Zhao, Yiwen Wang*, W. Chen, X. Zheng, Comparisons between Linear and Nonlinear Methods for Decoding Motor Cortical Activities of Monkey, 33th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2011
    50. B. Wu, Yiwen Wang*, W. Chen, X. Zheng, Time-frequency Optimized Spatial Patterns for Movement-related EEG Decoding, IEEE EMBS Conference on Neural Engineering, IEEE EMBS Conference on Neural Engineering, 2011
    51. Q. Zhang, S. Zhang, J. Lin, Y. Hao, B. Jiang, X. Yang, Y. Li, N. Zheng, Yiwen Wang*, W. Chen, X. Zheng, Building brain machine interfaces: From rat to monkey, the 8th Asian Control conference, 2011
    52. Yiwen Wang*, Tingfan Wu, Garrick Orchard, Piotr Dudek, Michele Rucci, Bertram Shi, Hebbian sLearning of Visually Directed Reaching by a Robot Arm, IEEE Biomedical Circuits and Systems Conference, special section paper, 2009
    53. Z. Yang, C. W. Chan, Yiwen Wang*, On Retrieval of Intermodulated Sinusoids, the 48th IEEE Conference on Decision and Control, 2009
    54. Yiwen Wang*, J. Principe, Point Process Modeling on Decoding and Encoding for Brain Machine Interfaces, the 7th Asian Control conference , invited section paper, 2009
    55. Yiwen Wang*, Justin Sanchez, Jose Principe, Selecting Neural Subsets for Kinematics Decoding by Information Theoretical Analysis in Motor Brain Machine Interfaces, IJCNN '09. International Joint Conference on Neural Networks, 2009
    56. Z. Yang, S.C.P. Yam, L.K. Li, Yiwen Wang* Robust Control for Uncertain Nonlinear Systems with Unknown and Changing Control Direction, the 17th Mediterranean Conference on Control & Automation, 2009
    57. Yiwen Wang*, B. Shi, Maximizing Neural Responses Leads to Sensori-Motor Coordination of Binocular Vergence, IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing, 2009
    58. J. C. Principe, Yiwen Wang*, Justin Sanchez Point Process Models for Motor BMIs: An Assessment, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2008
    59. Yiwen Wang*, J. C. Principe, A Synthetic Averaging Method on Point Process for Motor Brain Machine Interfaces, IEEE Workshop on Machine Learning for Signal Processing, 2008
    60. Yiwen Wang*, Jose C. Principe, Tracking the Non-Stationary Neuron Tuning by Dual Kalman Filter for Brain Machine Interfaces Decoding, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2008
    61. Yiwen Wang*, Li Zhang, Consistent Detection of Mid-Sagittal Planes for Follow-up MR Brain studies, Proc. SPIE, Medical Imaging 2008: Image Processing, 2008
    62. Yiwen Wang*, A. Paiva, J. Principe, J. Sanchez, A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces, IJCNN '07. International Joint Conference on Neural Networks, 2008
    63. Yiwen Wang*, J. Sanchez, J. Principe, Information Theoretical Estimators of Tuning Depth and Time Delay for Motor Cortex Neurons, CNE '07. 3rd International IEEE/EMBS Conference on Neural Engineering, 2007
    64. Yiwen Wang*, J. Sanchez, J. Principe, J. Mitzelfelt, A. Gunduz, Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
    65. Yiwen Wang*, A. Paiva and J. Principe, A Monte Carlo Sequential Estimation for Point Process Optimum Filtering, IJCNN '06. International Joint Conference on Neural Networks, 2006
    66. Yiwen Wang*, S. Kim, J. Principe, Comparison of TDNN Training Algorithms in Brain Machine Interfaces, IJCNN '05. International Joint Conference on Neural Networks, 2005

    Patents

    1. G. Pan, C. Qian, Yiwen Wang*, Method of visulizating neural spike patterns for spike prediction for cognitive neuroprostheses, Chinese patent application # 202010447242.8,
    2. G. Pan, D. Xing, C. Qian, Yiwen Wang*, S. Zhang, Y. Hao, Y. Wang, X. Zheng, Z. Wu, A prediction method on cortical spike neural signals, Chinese patent application # 201611051555.4
    3. Yiwen Wang*, Li Zhang, System and Method for Consistent Detection of Mid-Sagittal Planes for Magnetic Resonance Brain Scans, Unite States patent # US7986823, (application serial # 12/116,461), Issued on Jul. 26, 2011, Siemens Corporation Research Disclosure
    4. Yiwen Wang*, Li Zhang, , A Validation Method for Mid-Sagittal Plane Detection in MR Brain Scans, Unite States provisional patent application # 2007P10048US, Siemens Corporation Research Disclosure # 2007E10040US, 05/2007

    Book Chapters

    1. Xiang Zhang, Shuhang Chen, Yiwen Wang*, Quantitative modeling on nonstationary neural spikes: from reinforcement learning to the point process, Handbook of Neuroengineering Edited by Nitish V. Thakor, Springer, 2020
    2. Yiwen Wang, Adaptive Algorithms for the Point Processes, Chapter 6 Brain-Machine Interface Engineering ,J. Sanchez, J. Principe, Edited by John D. Enderle, New York: Morgan and Claypool, 2007
    3. Yiwen Wang, Shalom Darmanjian, Neural Decoding Using Generative BMI Models, Chapter 5 in Brain-Machine Interface Engineering ,J. Sanchez, J. Principe, Edited by John D. Enderle, New York: Morgan and Claypool, 2007
    4. Sung-Phil Kim, Yiwen Wang, Foundations of Neuronal representation, Chapter 2 in Brain-Machine Interface Engineering ,J. Sanchez, J. Principe, Edited by John D. Enderle, New York: Morgan and Claypool, 2007