Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing

no code implementations • 10 Mar 2021 • Denghao Li, Pablo Ortega, Xiaoxi Wei, Aldo Faisal

We introduce here the idea of Meta-Learning for training EEG BCI decoders.

EEG Meta-Learning +2

Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding

no code implementations • 9 Mar 2021 • Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal

We propose a multi-branch deep transfer network, the Separate-Common-Separate Network (SCSN) based on splitting the network's feature extractors for individual subjects.

EEG Eeg Decoding +2

HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks

no code implementations • 9 Mar 2021 • Pablo Ortega, Aldo Faisal

We solve the fNIRS left/right hand force decoding problem using a data-driven approach by using a convolutional neural network architecture, the HemCNN.

EEG

CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces

no code implementations • 9 Mar 2021 • 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 interfaces (BCIs).

EEG