8 citations · 25 across the 7 of their papers we have counts for
7 papers
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training
Hanwen Wang, Yu Qi, Lin Yao +3
Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and have demonstrated great potential for assistive and rehabilitation technologies. En…
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks
Di Hong, Jiangrong Shen, Yu Qi +1
Spiking Neural Networks (SNNs) are biologically realistic and practically promising in low-power computation because of their event-driven mechanism. Usually, the training of SNNs…
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models
Hang Yu, Yu Qi, Gang Pan
Objective. Spike sorting, a critical step in neural data processing, aims to classify spiking events from single electrode recordings based on different waveforms. This study aims…
Dynamic Ensemble Bayesian Filter for Robust Control of a Human Brain-machine Interface
Yu Qi, Xinyun Zhu, Kedi Xu +6
Objective: Brain-machine interfaces (BMIs) aim to provide direct brain control of devices such as prostheses and computer cursors, which have demonstrated great potential for mobil…
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
Tao Fang, Yu Qi, Gang Pan
Reconstructing seeing images from fMRI recordings is an absorbing research area in neuroscience and provides a potential brain-reading technology. The challenge lies in that visual…
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Yu Qi, Bin Liu, Yueming Wang +1
Brain-computer interfaces (BCIs) have enabled prosthetic device control by decoding motor movements from neural activities. Neural signals recorded from cortex exhibit nonstationar…
Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach
Bin Liu, Yu Qi, Ke-Jia Chen
In this paper, we consider sequential online prediction (SOP) for streaming data in the presence of outliers and change points. We propose an INstant TEmporal structure Learning (I…