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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
An intertwined neural network model for EEG classification in brain-computer interfaces—0
A Generative System for Robot-to-Human Handovers: from Intent Inference to Spatial Configuration Imagery—0
Covariance Density Neural Networks—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
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