25 citations · 25 across the 2 of their papers we have counts for
2 papers
eess.SP2022★ 25 cited
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface
Jiawei Liao, Lars Widmer, Xiaying Wang +5
Brain-machine interfaces (BMIs) are promising for motor rehabilitation and mobility augmentation. High-accuracy and low-power algorithms are required to achieve implantable BMI sys…
eess.SP2021
Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces
Xiaying Wang, Lukas Cavigelli, Tibor Schneider +1
Motor imagery brain--machine interfaces enable us to control machines by merely thinking of performing a motor action. Practical use cases require a wearable solution where the cla…