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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 1–10 of 252 papers

TitleStatusHype
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
Neuro-GPT: Towards A Foundation Model for EEGCode2
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
A Strong and Simple Deep Learning Baseline for BCI MI DecodingCode1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
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