4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 4 cited
MIDAS: Deep learning human action intention prediction from natural eye movement patterns
Paul Festor, Ali Shafti, Alex Harston +3
Eye movements have long been studied as a window into the attentional mechanisms of the human brain and made accessible as novelty style human-machine interfaces. However, not ever…
cs.LG2021★ 1 cited
CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces
Pablo Ortega, Tong Zhao, Aldo Faisal
Non-invasive cortical neural interfaces have only achieved modest performance in cortical decoding of limb movements and their forces, compared to invasive brain-computer interface…
eess.SP2021★ 2 cited
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing
Denghao Li, Pablo Ortega, Xiaoxi Wei +1
We introduce here the idea of Meta-Learning for training EEG BCI decoders. Meta-Learning is a way of training machine learning systems so they learn to learn. We apply here meta-le…