Bin Deng

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., 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.
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., 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., 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.
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., 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.