3 papers
cs.NE2026
UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces
Binjie Hong, Rui Xiong, Liyuan Han +1
Modeling invasive neural spike data is fundamental to advancing high-performance brain-computer interfaces (BCIs). However, existing approaches face critical challenges, including…
cs.NE2024
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…
cs.NE2024
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks
Tianyu Zheng, Liyuan Han, Tielin Zhang
Spiking neural networks (SNNs) are gaining popularity in the computational simulation and artificial intelligence fields owing to their biological plausibility and computational ef…