Yiwen Wang

Affiliations:
  • Zhejiang University, Hangzhou, Qiushi Academy of Advanced Studies
  • University of Florida, Gainesville, FL, USA


According to our database1, Yiwen Wang authored at least 66 papers between 2006 and 2023.

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Bibliography

2023
A Novel KL Divergence Optimization Method for Aligning Neural Population Patterns During Task Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Applying Neural Manifold Constraint on Point Process Model for Neural Spike Prediction.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Estimating Reward Function from Medial Prefrontal Cortex Cortical Activity using Inverse Reinforcement Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task in Brain-Machine Interface.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding.
Neural Comput., 2021

A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding.
Entropy, 2021

Cross-Intensity-Based Spatial-Temporal Clustering of Spike Trains for Brain State Estimation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multivariate Encoding Analysis of Medial Prefrontal Cortex Cortical Activity during Task Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Kernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Efficient Point-Process Modeling of Spiking Neurons for Neuroprosthesis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses.
Neural Comput., 2020

Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Covariant Cluster Transfer for Kernel Reinforcement Learning in Brain-Machine Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Decoding Transition between Kinematics Stages for Brain-Machine Interface.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A K-Medoids based Point-Process Modeling on Neural Spike Transformation using Binless Kernel.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM.
IEEE Trans. Cogn. Dev. Syst., 2018

Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model.
Neural Comput., 2018

Grasp Planning Based On Scene Grasp Ability In Unstructured Environment.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Tracking the Time Varying Neural Tuning via Adam on Point Process Observations.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding.
IEEE Trans. Neural Networks Learn. Syst., 2017

Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification.
Frontiers Comput. Neurosci., 2017

Detecting abrupt change in neuronal tuning via adaptive point process estimation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces.
IEEE Trans. Biomed. Eng., 2016

Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
An Iterative Approach for EEG-Based Rapid Face Search: A Refined Retrieval by Brain Computer Interfaces.
IEEE Trans. Auton. Ment. Dev., 2015

A Cauchy-Based State-Space Model for Seizure Detection in EEG Monitoring Systems.
IEEE Intell. Syst., 2015

A reconfigurable general behavior data acquisition system for motor brain machine interface.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

A closed-loop system for rapid face retrieval by combining EEG and computer vision.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Dorsal premotor cortex of the macaque monkey participate grasp planning.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Rapid face recognition based on single-trial event-related potential detection over multiple brains.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Clustering and observation on neuron tuning property for brain machine interfaces.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Decoding motor cortical activities of Monkey: A dataset.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Cortical discrimination of natural vibration stimulation in rats for a BMI task.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
Universal stabilisation design for uncertain nonlinear system with sign-switching unknown control direction.
Int. J. Control, 2013

Corticomuscular Coherence Analysis on Hand Movement Distinction for Active Rehabilitation.
Comput. Math. Methods Medicine, 2013

Information Analysis on Neural Tuning in Dorsal Premotor Cortex for Reaching and Grasping.
Comput. Math. Methods Medicine, 2013

A Shared Control Policy for Center-Out Movement Decoding in Motor Brain-Machine Interface.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

ERP component analysis for rapid image searching in finer categories.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Semantic-based sound retrieval by ERP in rapid serial auditory presentation paradigm.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
A frequency-temporal-spatial method for motor-related electroencephalography pattern recognition by comprehensive feature optimization.
Comput. Biol. Medicine, 2012

Mutual information analysis on non-stationary neuron importance for brain machine interfaces.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A High-Accuracy Detection and Estimation Method of Intermodulated Sinusoids.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

Decoding the nonstationary neural activity in motor cortex for brain machine interfaces.
Int. J. Imaging Syst. Technol., 2011

Comparisons between linear and nonlinear methods for decoding motor cortical activities of monkey.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

FPGA implementation of hardware processing modules as coprocessors in brain-machine interfaces.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Universal Repetitive Learning Control for Nonparametric Uncertainty and Unknown State-Dependent Control Direction Matrix.
IEEE Trans. Autom. Control., 2010

2009
Extended kernel recursive least squares algorithm.
IEEE Trans. Signal Process., 2009

Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces.
Neural Networks, 2009

Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces.
Neural Comput., 2009

Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2009

On retrieval of intermodulated sinusoids.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2006

Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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