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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 21–30 of 252 papers

TitleStatusHype
Minima Possible Weights: A Homogenous Deep Ensemble Method for Cross-Subject Motor Imagery ClassificationCode0
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Subject Specific Deep Learning Model for Motor Imagery Direction Decoding—0
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research—0
Low count of optically pumped magnetometers furnishes a reliable real-time access to sensorimotor rhythm—0
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer InterfacesCode0
Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems—0
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIsCode1
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