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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 26–50 of 252 papers

TitleStatusHype
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
A Strong and Simple Deep Learning Baseline for BCI MI DecodingCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery ClassificationCode1
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine InterfacesCode1
Data augmentation for learning predictive models on EEG: a systematic comparisonCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
Calibration-free online test-time adaptation for electroencephalography motor imagery decodingCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment ApproachCode1
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