Jiang Wang | Case School of Engineering

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.

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.

Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A. (2020). Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson's Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (1), 339-349.

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.

Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A. (2020). Erratum: Application of reinforcement learning to deep brain stimulation in a computational model of Parkinson's disease (IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) 28: 1 (339-349. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (3), 9027068.

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.

Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A. (2020). Comments and Corrections Corrections to “Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson’s Disease”. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (3), 766--766.

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.

Guo, X., Yu, H., Kodama, N., Wang, J., & Galan, R. (2019). Fluctuation Scaling of Neuronal Firing and Bursting in Spontaneously Active Brain Circuits. International Journal of Neural Systems.

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.

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.

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.

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.

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., 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).

Wu, C., Eck, B., Zhang, S., Zhu, J., Tiwari, A., Zhang, Y., Zhu, Y., Zhang, J., Wang, B., Wang, X., WAng, X., You, J., Wang, J., Guan, Y., Liu, X., Yu, X., Trapp, B., Miller, R., Silver, J., Wilson, D. L., & Wang, Y. L. (2017). Discovery of 1,2,3-Triazole Derivatives for Multimodality PET/CT/Cryoimaging of Myelination in the Central Nervous System. Journal of Medicinal Chemistry, 60 (3), 987--999.

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.

Guo, X., Wang, J., Liu, H., Yu, H., Galána, R., Cao, Y., & Deng, B. (2017). Optimal time scales of input fluctuations for spiking coherence and reliability in stochastic Hodgkin-Huxley neurons. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 468 , 381-390.

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.

Yu, H., Galána, R., Wang, J., Cao, Y., & Liu, H. (2017). Stochastic resonance, coherence resonance, and spike timing reliability of Hodgkin-Huxley neurons with ion-channel noise. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 471 , 263-275.

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.

Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., Loparo, K. A., & Fietkiewicz, C. A. (2011). Commun Nonlinear Sci Numer Simulat. .