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Journal of Integrative Neuroscience|September 12, 2017
A computational approach towards the microscale mouse brain connectome from the mesoscaleTielin Zhang, Yi Zeng, Bo XuScience Advances|October 20, 2021
Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networksTielin Zhang, Xiang Cheng, Shuncheng Jia, et al.Frontiers in Computational Neuroscience|March 3, 2020
A Curiosity-Based Learning Method for Spiking Neural NetworksMengting Shi, Tielin Zhang, Yi ZengIscience|August 17, 2021
Quantum superposition inspired spiking neural networkYinqian Sun, Yi Zeng, Tielin ZhangFrontiers in Computational Neuroscience|May 1, 2020
Corrigendum: A Curiosity-Based Learning Method for Spiking Neural NetworksMengting Shi, Tielin Zhang, Yi ZengIEEE Transactions on Neural Networks and Learning Systems|June 30, 2023
Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal ClassificationTielin Zhang, Qingyu Wang, Bo XuScientific Reports|April 1, 2021
Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networksTielin Zhang, Yi Zeng, Yue Zhang, et al.Frontiers in Systems Neuroscience|September 27, 2021
Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational InvestigationQian Zhang, Yi Zeng, Tielin Zhang, et al.IEEE Transactions on Neural Networks and Learning Systems|September 14, 2021
A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational SpaceDengpeng Xing, Jiale Li, Tielin Zhang, et al.IEEE Transactions on Neural Networks and Learning Systems|June 14, 2021
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward PropagationTielin Zhang, Shuncheng Jia, Xiang Cheng, et al.Pageof 572