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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 71–80 of 252 papers

TitleStatusHype
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding—0
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding—0
Transferring BCI models from calibration to control: Observing shifts in EEG features—0
Uncertainty Quantification for cross-subject Motor Imagery classificationCode0
Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification—0
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network—0
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces—0
RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification—0
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