Huiyan Li

Publications

Yang, S., Wang, J., Hao, X., Li, H., Wei, X., Deng, B., & Loparo, K. A. (2021). BiCoSS: Toward large-scale cognition brain with multigranular neuromorphic architecture. IEEE Transactions on Neural Networks and Learning Systems.
Yang, S., Deng, B., Wang, J., Li, H., Lu, M., Che, Y., Wei, X., & Loparo, K. A. (2020). Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network with Multi-Compartment Neurons. IEEE Transactions on Neural Networks and Learning Systems, 31 (1), 148-162.
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.
Yang, S., Deng, B., Wang, J., Li, H., Lu, M., Che, Y., Wei, X., & Loparo, K. A. (2019). Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons. IEEE transactions on neural networks and learning systems.
Li, H., Huang, J., Hu, X., Bi, L., Cai, P., Jia, J., Chai, G., Wei, S., Dai, L., & Wen, Z. (2018). Fe Vacancies Induced Surface FeO 6 in Nanoarchitectures of N-Doped Graphene Protected �-FeOOH: Effective Active Sites for pH-Universal Electrocatalytic Oxygen Reduction. Advanced Functional Materials, 28 (34).
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.
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.
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.
Li, H., Huang, J., Hu, X., Bi, L., Cai, P., Jia, J., Chai, G., Wei, S., Dai, L., & Wen, Z. (2018). Fe Vacancies Induced Surface FeO6 in Nanoarchitectures of N-Doped Graphene Protected beta-FeOOH: Effective Active Sites for pH-Universal Electrocatalytic Oxygen Reduction. ADVANCED FUNCTIONAL MATERIALS, 28 (34).
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., 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
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.
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.
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., 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, 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.