activity
20242026
collaborators

7 papers

eess.SY2026

ST-Topo GAN: A Motor EEG-to-EMG Decoding Model Matched to Wrist Movement Complexity

Ye Sun, Mingxuan Qu, Jing Wang +2

The wrist plays a critical role in upper-limb function by enabling precise hand positioning, force regulation, and object manipulation. Continuous brain--muscle interfaces (BMIs) o…

cs.CV2025

Dendritic Convolution for Noise Image Recognition

Jiarui Xue, Dongjian Yang, Ye Sun +1

In real-world scenarios of image recognition, there exists substantial noise interference. Existing works primarily focus on methods such as adjusting networks or training strategi…

cs.NE2025

Memory-DD: A Low-Complexity Dendrite-Inspired Neuron for Temporal Prediction Tasks

Dongjian Yang, Xiaoyuan Li, Chuanmei Xi +2

Dendrite-inspired neurons have been widely used in tasks such as image classification due to low computational complexity and fast inference speed. Temporal data prediction, as a k…

cs.HC2025

Brain-Muscle Atlas: A novel framework for Motor Brain-Computer Interfaces

Ye Sun, Bowei Zhao, Dezhong Yao +6

Motor brain-computer interfaces (BCIs) enable the control of external devices by decoding neural signals. However, most existing systems rely on a direct "brain-machine" mapping, o…

q-bio.NC2025

System Filter-Based Common Components Modeling for Cross-Subject EEG Decoding

Xiaoyuan Li, Xinru Xue, Bohan Zhang +3

Brain-computer interface (BCI) technology enables direct communication between the brain and external devices through electroencephalography (EEG) signals. However, existing decodi…

q-bio.NC2025

A Novel Brain-Computer Interface Architecture: The Brain-Muscle-Hand Interface for replicating the motor pathway

Sun Ye, Zuo Cuiming, Zhang Rui +7

Myoelectric interfaces enable intuitive and natural control by decoding residual muscle activity, providing an effective pathway for motor restoration in individuals with preserved…

cs.RO2024

A Continuous sEMG-Based Prosthetic Hand Control System Without Motion or Force Sensors

Gang Liu, Ye Sun, Zhenxiang Wang +5

Regressively-based surface electromyography (sEMG) prosthetics are widely used for their ability to continuously convert muscle activity into finger force and motion. However, they…