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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 24, 2024
Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural NetworksBing Han, Feifei Zhao, Yi Zeng, et al.Scientific Reports|October 7, 2023
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networksWenxuan Pan, Feifei Zhao, Yi Zeng, et al.Patterns (New York, N.Y.)|November 24, 2022
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural networkFeifei Zhao, Yi Zeng, Bing Han, et al.Iscience|February 8, 2024
Emergence of brain-inspired small-world spiking neural network through neuroevolutionWenxuan Pan, Feifei Zhao, Bing Han, et al.National Science Review|April 24, 2026
Continual learning of multiple cognitive functions with a brain-inspired temporal development mechanismBing Han, Feifei Zhao, Yinqian Sun, et al.Neural Networks : the Official Journal of the International Neural Network Society|December 21, 2024
Similarity-based context aware continual learning for spiking neural networksBing Han, Feifei Zhao, Yang Li, et al.Patterns (New York, N.Y.)|June 27, 2022
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networksGuobin Shen, Dongcheng Zhao, Yi ZengNeural 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 ZengFrontiers in Systems Neuroscience|June 28, 2021
Dynamically Optimizing Network Structure Based on Synaptic Pruning in the BrainFeifei Zhao, Yi ZengProceedings 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.Pageof 459