Pengfu Liu

According to our database, Pengfu Liu authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains.

Tengjun Liu, Yansong Chua, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Tuoru Li, Guihua Wan, Zijun Wan, Weidong Chen, Shaomin Zhang

Biomed. Signal Process. Control., 2025

2023

The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study.

Zijun Wan, Tengjun Liu, Xingchen Ran, Pengfu Liu, Weidong Chen, Shaomin Zhang

Frontiers Comput. Neurosci., February, 2023

Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation.

Tengjun Liu, Yansong Chua, Yiwei Zhang, Yuxiao Ning, Pengfu Liu, Guihua Wan, Zijun Wan, Shaomin Zhang, Weidong Chen

CoRR, 2023

Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains.

Tengjun Liu, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Yansong Chua, Weidong Chen, Shaomin Zhang

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023