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Zhaofei Yu

Showing results (1-10 of 40) with videos related to

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Patterns (New York, N.Y.)|May 5, 2022
Zooming in on the brain via data scienceShanshan Jia, Zhaofei Yu
Frontiers in Neuroscience|May 16, 2020
Noise Helps Optimization Escape From Saddle Points in the Synaptic PlasticityYing Fang, Zhaofei Yu, Feng Chen
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Unification of MAP Estimation and Marginal Inference in Recurrent Neural NetworksZhaofei Yu, Feng Chen, Fei Deng
STAR Protocols|November 17, 2023
Protocol for dissecting cascade computational components in neural networks of a visual systemShanshan Jia, Jian K Liu, Zhaofei Yu
IEEE Transactions on Cybernetics|July 22, 2022
Deep Spike Learning With Local ClassifiersChenxiang Ma, Rui Yan, Zhaofei Yu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 4, 2023
Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised LearningYajing Zheng, Zhaofei Yu, Song Wang, et al.
Nature Communications|November 19, 2025
Neuromorphic computing paradigms enhance robustness through spiking neural networksJianhao Ding, Zhaofei Yu, Jian K Liu, et al.
Plos Computational Biology|November 29, 2021
Dissecting cascade computational components in spiking neural networksShanshan Jia, Dajun Xing, Zhaofei Yu, et al.
IEEE Transactions on Cybernetics|July 11, 2018
Hierarchical Bayesian Inference and Learning in Spiking Neural NetworksShangqi Guo, Zhaofei Yu, Fei Deng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 16, 2025
SNNTracker: Online High-Speed Multi-Object Tracking With Spike CameraYajing Zheng, Chengen Li, Jiyuan Zhang, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Patterns (New York, N.Y.)|May 5, 2022
Zooming in on the brain via data scienceShanshan Jia, Zhaofei Yu
Frontiers in Neuroscience|May 16, 2020
Noise Helps Optimization Escape From Saddle Points in the Synaptic PlasticityYing Fang, Zhaofei Yu, Feng Chen
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Unification of MAP Estimation and Marginal Inference in Recurrent Neural NetworksZhaofei Yu, Feng Chen, Fei Deng
STAR Protocols|November 17, 2023
Protocol for dissecting cascade computational components in neural networks of a visual systemShanshan Jia, Jian K Liu, Zhaofei Yu
IEEE Transactions on Cybernetics|July 22, 2022
Deep Spike Learning With Local ClassifiersChenxiang Ma, Rui Yan, Zhaofei Yu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 4, 2023
Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised LearningYajing Zheng, Zhaofei Yu, Song Wang, et al.
Nature Communications|November 19, 2025
Neuromorphic computing paradigms enhance robustness through spiking neural networksJianhao Ding, Zhaofei Yu, Jian K Liu, et al.
Plos Computational Biology|November 29, 2021
Dissecting cascade computational components in spiking neural networksShanshan Jia, Dajun Xing, Zhaofei Yu, et al.
IEEE Transactions on Cybernetics|July 11, 2018
Hierarchical Bayesian Inference and Learning in Spiking Neural NetworksShangqi Guo, Zhaofei Yu, Fei Deng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 16, 2025
SNNTracker: Online High-Speed Multi-Object Tracking With Spike CameraYajing Zheng, Chengen Li, Jiyuan Zhang, et al.
Pageof 4