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Dongcheng Zhao

Showing results (1-10 of 15) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|July 21, 2022
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neuronsDongcheng Zhao, Yi Zeng, Yang Li
Patterns (New York, N.Y.)|June 27, 2022
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networksGuobin Shen, Dongcheng Zhao, Yi Zeng
Neural Networks : the Official Journal of the International Neural Network Society|November 21, 2023
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural NetworksGuobin Shen, Dongcheng Zhao, Yi Zeng
Frontiers in Neuroscience|October 31, 2022
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neuronsYang Li, Dongcheng Zhao, Yi Zeng
Neural Networks : the Official Journal of the International Neural Network Society|June 21, 2024
Spiking generative adversarial network with attention scoring decodingLinghao Feng, Dongcheng Zhao, Yi Zeng
Neural Networks : the Official Journal of the International Neural Network Society|July 16, 2024
Directly training temporal Spiking Neural Network with sparse surrogate gradientYang Li, Feifei Zhao, Dongcheng Zhao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 6, 2026
Biologically inspired spiking diffusion model with adaptive lateral selection mechanismLinghao Feng, Dongcheng Zhao, Sicheng Shen, et al.
Scientific Data|December 2, 2022
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learningYang Li, Yiting Dong, Dongcheng Zhao, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 20, 2023
Brain-inspired neural circuit evolution for spiking neural networksGuobin Shen, Dongcheng Zhao, Yiting Dong, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 7, 2023
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connectionsYiting Dong, Dongcheng Zhao, Yang Li, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|July 21, 2022
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neuronsDongcheng Zhao, Yi Zeng, Yang Li
Patterns (New York, N.Y.)|June 27, 2022
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networksGuobin Shen, Dongcheng Zhao, Yi Zeng
Neural Networks : the Official Journal of the International Neural Network Society|November 21, 2023
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural NetworksGuobin Shen, Dongcheng Zhao, Yi Zeng
Frontiers in Neuroscience|October 31, 2022
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neuronsYang Li, Dongcheng Zhao, Yi Zeng
Neural Networks : the Official Journal of the International Neural Network Society|June 21, 2024
Spiking generative adversarial network with attention scoring decodingLinghao Feng, Dongcheng Zhao, Yi Zeng
Neural Networks : the Official Journal of the International Neural Network Society|July 16, 2024
Directly training temporal Spiking Neural Network with sparse surrogate gradientYang Li, Feifei Zhao, Dongcheng Zhao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 6, 2026
Biologically inspired spiking diffusion model with adaptive lateral selection mechanismLinghao Feng, Dongcheng Zhao, Sicheng Shen, et al.
Scientific Data|December 2, 2022
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learningYang Li, Yiting Dong, Dongcheng Zhao, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 20, 2023
Brain-inspired neural circuit evolution for spiking neural networksGuobin Shen, Dongcheng Zhao, Yiting Dong, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 7, 2023
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connectionsYiting Dong, Dongcheng Zhao, Yang Li, et al.
Pageof 2