Chen Liu

Publications

Zhang, J., Liu, C., & Gao, R. X. (2022). Physics-guided Gaussian Process for HVAC system performance prognosis. Mechanicals Systems and Signal Processing, 179
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A. (2020). The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations. Neural Networks, 123 , 381-392.
Liu, C., Zhao, G., Wang, J., Wu, H., Li, H., Fietkiewicz, C., & Loparo, K. A. (2020). Neural Network-Based Closed-Loop Deep Brain Stimulation for Modulation of Pathological Oscillation in Parkinson's Disease. IEEE Access.
Liu, C., Zhao, G., Wang, J., Wu, H., Li, H., Fietkiewicz, C., & Loparo, K. A. (2020). Neural network-based closed-loop deep brain stimulation for modulation of pathological oscillation in Parkinson’s disease. IEEE Access, 8 , 161067--161079.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Noise-Induced Improvement of the Parkinsonian State: A Computational Study. IEEE Transactions on Cybernetics, 49 (10), 3655-3664.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Noise-Induced Improvement of the Parkinsonian State: A Computational Study. IEEE Transactions on Cybernetics, 49 (10), 3655-3664.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks. IEEE Transactions on Cybernetics, 49 (7), 2490-2503.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks. IEEE Transactions on Cybernetics, 49 (7), 2490-2503.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & Loparo, K. A. (2019). Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation. IEEE Transactions on Fuzzy Systems, 27 (2), 304-318.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & Loparo, K. A. (2019). Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation. IEEE Transactions on Fuzzy Systems, 27 (2), 304-318.
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A. (2019). Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model. IEEE Transactions on Cybernetics.
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A. (2019). Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model. IEEE Transactions on Cybernetics.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2018). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE Transactions on Neural Networks, 29 (5), 1864-1875.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., & Loparo, K. A. (2018). Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks. IEEE Transactions on Cybernetics.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & Loparo, K. A. (2018). Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation. IEEE Transactions on Fuzzy Systems.
Liu, C., Zhou, C., Wang, J., & Loparo, K. A. (2018). Mathematical Modeling for Description of Oscillation Suppression Induced by Deep Brain Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A. (2018). Noise-Induced Improvement of the Parkinsonian State: A Computational Study. IEEE Transactions on Cybernetics.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2017). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, PP (99).
Yang, S., Deng, B., Wang, J., Li, H., Liu, C., Fietkiewicz, C., & Loparo, K. A. (2017). Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties. Scientific Reports, 7 , 40152.
Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., Fietkiewicz, C., & Loparo, K. A. (2017). Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state. Neural Networks, 88 , 65–73.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2017). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE Transactions on Neural Networks.
Yang, S., Deng, B., Wang, J., Li, H., Liu, C., Fietkiewicz, C., & Loparo, K. A. (2017). Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties. Scientific Reports, 7
Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., Fietkiewicz, C., & Loparo, K. A. (2017). Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state. Neural Networks, 88 , 65-73.
Liu, C., Wang, J., Deng, B., Wei, X., Yu, H., Li, H., Fietkiewicz, C., & Loparo, K. A. (2016). Closed-Loop Control of Tremor-Predominant Parkinsonian State Based on Parameter Estimation. IEEE Transactions on Neural Systems and Rehabilitation Engineering [15344320], 24 (10), 1109-1121.
Liu, C., Wang, J., Li, H., Lu, M., Deng, B., Yu, H., Wei, X., Fietkiewicz, C., & Loparo, K. A. (2016). Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network. IEEE Transactions on Neural Networks [10459227].
Liu, F., Wang, J., Liu, C., Li, H., Deng, B., Fietkiewicz, C., & Loparo, K. A. (2016). A neural mass model of basal ganglia nuclei simulates pathological beta rhythm in Parkinson’s disease. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26 (12), 123113.
Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., Loparo, K. A., & Fietkiewicz, C. A. (2015). Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models. Communications in Nonlinear Science and Numerical Simulation, 28 (1), 10–26.