46 citations · 86 across the 16 of their papers we have counts for
8 papers · 1 filter
Neuro-MoBRE: Exploring Multi-subject Multi-task Intracranial Decoding via Explicit Heterogeneity Resolving
Di Wu, Yifei Jia, Siyuan Li +3
Neurophysiological decoding, fundamental to advancing brain-computer interface (BCI) technologies, has significantly benefited from recent advances in deep learning. However, exist…
NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis
Chengkai Wang, Di Wu, Yunsheng Liao +10
Methamphetamine dependence poses a significant global health challenge, yet its assessment and the evaluation of treatments like repetitive transcranial magnetic stimulation (rTMS)…
A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction
Jinbo Chen, Hui Wu, Jie Yang +1
A bio-inspired Neuron-ADC with reconfigurable sampling and static power reduction for biomedical applications is proposed in this work. The Neuron-ADC leverages level-crossing samp…
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Di Wu, Jie Yang, Mohamad Sawan
Machine learning on electromyography (EMG) has recently achieved remarkable success on a variety of tasks, while such success relies heavily on the assumption that the training and…
A Compact Online-Learning Spiking Neuromorphic Biosignal Processor
Chaoming Fang, Ziyang Shen, Fengshi Tian +2
Real-time biosignal processing on wearable devices has attracted worldwide attention for its potential in healthcare applications. However, the requirement of low-area, low-power a…
Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief
Jinbo Chen, Mahdi Tarkhan, Hui Wu +3
Recent years have seen fast advances in neural recording circuits and systems as they offer a promising way to investigate real-time brain monitoring and the closed-loop modulation…