Tengjun Liu
Orcid: 0009-0002-3455-8494
According to our database1,
Tengjun Liu
authored at least 12 papers
between 2017 and 2025.
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Bibliography
2025
motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains.
Biomed. Signal Process. Control., 2025
2024
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks.
CoRR, 2024
2023
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses.
IEEE Trans. Biomed. Circuits Syst., June, 2023
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study.
Frontiers Comput. Neurosci., February, 2023
Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation.
CoRR, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Transfer Learning based Efficient Schizophrenia Classification on Electroencephalogram (EEG) Signals: A Cross-Dataset Study.
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023
Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
2017
Frontiers Inf. Technol. Electron. Eng., 2017