Shuangming Yang
Orcid: 0000-0002-8044-0860
According to our database1,
Shuangming Yang
authored at least 31 papers
between 2015 and 2024.
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Bibliography
2024
SIBoLS: Robust and Energy-Efficient Learning for Spike-Based Machine Intelligence in Information Bottleneck Framework.
IEEE Trans. Cogn. Dev. Syst., October, 2024
IEEE Trans. Biomed. Circuits Syst., February, 2024
Neural Comput. Appl., February, 2024
Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Maximum entropy intrinsic learning for spiking networks towards embodied neuromorphic vision.
Neurocomputing, 2024
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
Smart Traffic Navigation System for Fault-Tolerant Edge Computing of Internet of Vehicle in Intelligent Transportation Gateway.
IEEE Trans. Intell. Transp. Syst., November, 2023
Auditory perception architecture with spiking neural network and implementation on FPGA.
Neural Networks, August, 2023
Neurocomputing, July, 2023
Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
2022
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022
Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion.
Entropy, 2022
2021
Reconstruction of a Fully Paralleled Auditory Spiking Neural Network and FPGA Implementation.
IEEE Trans. Biomed. Circuits Syst., 2021
A CORDIC based real-time implementation and analysis of a respiratory central pattern generator.
Neurocomputing, 2021
2020
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2020
2019
Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.
IEEE Trans. Fuzzy Syst., 2019
Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.
IEEE Trans. Cybern., 2019
Digital Implementation of the Retinal Spiking Neural Network under Light Stimulation.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
2018
Cost-efficient FPGA implementation of a biologically plausible dopamine neural network and its application.
Neurocomputing, 2018
FPGA implementation of hippocampal spiking network and its real-time simulation on dynamical neuromodulation of oscillations.
Neurocomputing, 2018
2017
Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation.
Neural Networks, 2017
A real-time FPGA implementation of a biologically inspired central pattern generator network.
Neurocomputing, 2017
Real-Time Prediction of the Unobserved States in Dopamine Neurons on a Reconfigurable FPGA Platform.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease.
Neurocomputing, 2016
2015
Neural Networks, 2015