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Tengjun Liu

Showing results (1-10 of 6) with videos related to

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Brain Sciences|October 27, 2022
Volitional Generation of Reproducible, Efficient Temporal PatternsYuxiao Ning, Guihua Wan, Tengjun Liu, et al.
Journal of Neural Engineering|May 8, 2020
Reduce brain computer interface inefficiency by combining sensory motor rhythm and movement-related cortical potential featuresTengjun Liu, Gan Huang, Ning Jiang, et al.
Scientific Reports|September 15, 2022
A robust spike sorting method based on the joint optimization of linear discrimination analysis and density peaksYiwei Zhang, Jiawei Han, Tengjun Liu, et al.
Frontiers in Computational Neuroscience|May 30, 2023
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation studyZijun Wan, Tengjun Liu, Xingchen Ran, et al.
IEEE Transactions on Biomedical Circuits and Systems|April 19, 2023
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal AnalysesShiqi Zhao, Jie Yang, Junzhe Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike TrainsTengjun Liu, Yuxiao Ning, Pengfu Liu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Brain Sciences|October 27, 2022
Volitional Generation of Reproducible, Efficient Temporal PatternsYuxiao Ning, Guihua Wan, Tengjun Liu, et al.
Journal of Neural Engineering|May 8, 2020
Reduce brain computer interface inefficiency by combining sensory motor rhythm and movement-related cortical potential featuresTengjun Liu, Gan Huang, Ning Jiang, et al.
Scientific Reports|September 15, 2022
A robust spike sorting method based on the joint optimization of linear discrimination analysis and density peaksYiwei Zhang, Jiawei Han, Tengjun Liu, et al.
Frontiers in Computational Neuroscience|May 30, 2023
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation studyZijun Wan, Tengjun Liu, Xingchen Ran, et al.
IEEE Transactions on Biomedical Circuits and Systems|April 19, 2023
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal AnalysesShiqi Zhao, Jie Yang, Junzhe Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike TrainsTengjun Liu, Yuxiao Ning, Pengfu Liu, et al.
Pageof 1