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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 151–160 of 252 papers

TitleStatusHype
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Decoding Brain Motor Imagery with various Machine Learning techniques—0
Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation—0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification—0
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition—0
Deep Learning Architecture for Motor Imaged Words—0
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution—0
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