2 citations · 2 across the 3 of their papers we have counts for
4 papers
BCIJelly: An integrated ecosystem for brain-computer interface research
Liyuan Han, Xinrui Yang, Tianyu Zheng +12
Brain-computer interface (BCI) research relies on multistage computational pipelines, yet progress remains constrained by fragmented data formats, heterogeneous decoder implementat…
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
Yu Song, Liyuan Han, Bo Xu +1
Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. Spiking Neural Netwo…
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
Duzhen Zhang, Qingyu Wang, Tielin Zhang +1
The success of Deep Reinforcement Learning (DRL) is largely attributed to utilizing Artificial Neural Networks (ANNs) as function approximators. Recent advances in neuroscience hav…
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
Qingyu Wang, Duzhen Zhang, Tilelin Zhang +1
Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial Transformer, whereby the Spiking Self-Attention…