research
∙
08/25/2023
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training
Brain-computer interfaces (BCIs) provide a direct pathway from the brain...
share
research
∙
06/06/2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Spiking neural networks (SNNs) have manifested remarkable advantages in ...
research
∙
05/15/2023
Decoding Chinese phonemes from intracortical brain signals with hyperbolic-space neural representations
Speech brain-computer interfaces (BCIs), which translate brain signals i...
research
∙
04/17/2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks
Spiking Neural Networks (SNNs) are biologically realistic and practicall...
research
∙
04/22/2022
Dynamic Ensemble Bayesian Filter for Robust Control of a Human Brain-machine Interface
Objective: Brain-machine interfaces (BMIs) aim to provide direct brain c...
research
∙
11/02/2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Brain-computer interfaces (BCIs) have enabled prosthetic device control ...
research
∙
04/28/2018
Spiking Deep Residual Network
Recently, spiking neural network (SNN) has received significant attentio...
research
∙
01/20/2015
Robust Face Recognition by Constrained Part-based Alignment
Developing a reliable and practical face recognition system is a long-st...
research
∙
03/06/2014
