5 papers
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…
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…
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…
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…
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…