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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 181–190 of 252 papers

TitleStatusHype
Transferring BCI models from calibration to control: Observing shifts in EEG features—0
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs—0
Transferring Subspaces Between Subjects in Brain-Computer Interfacing—0
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning—0
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing—0
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining—0
Motor imagery classification using EEG spectrograms—0
Motor Imagery EEG Signals: Multi-Task Classification and Subject Identification with a Lightweight CNN—0
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