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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 101–110 of 252 papers

TitleStatusHype
Enhancing Motor Imagery Decoding in Brain Computer Interfaces using Riemann Tangent Space Mapping and Cross Frequency Coupling—0
Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces—0
Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface—0
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?—0
Feature Reweighting for EEG-based Motor Imagery Classification—0
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
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