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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...
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06/06/2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Spiking neural networks (SNNs) have manifested remarkable advantages in ...
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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...
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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...
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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...
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11/02/2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Brain-computer interfaces (BCIs) have enabled prosthetic device control ...
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04/28/2018
Spiking Deep Residual Network
Recently, spiking neural network (SNN) has received significant attentio...
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01/20/2015
Robust Face Recognition by Constrained Part-based Alignment
Developing a reliable and practical face recognition system is a long-st...
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03/06/2014