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Motor Imagery

Classification of examples recorded under the Motor Imagery paradigm, as part of Brain-Computer Interfaces (BCI).

A number of motor imagery datasets can be downloaded using the MOABB library: motor imagery datasets list

Papers

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Showing 51–60 of 252 papers

TitleStatusHype
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment ApproachCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
CATVis: Context-Aware Thought Visualization—0
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning—0
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm—0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry—0
Covariance Density Neural Networks—0
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