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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 1–50 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
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
Neuro-GPT: Towards A Foundation Model for EEGCode2
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
The more, the better? Evaluating the role of EEG preprocessing for deep learning applicationsCode1
Functional connectivity ensemble method to enhance BCI performance (FUCONE)Code1
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI PerformanceCode1
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery ClassificationCode1
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean SpaceCode1
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation FrameworkCode1
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine InterfacesCode1
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model InterpretationCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery ClassificationCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery ClassificationCode1
Data augmentation for learning predictive models on EEG: a systematic comparisonCode1
A Strong and Simple Deep Learning Baseline for BCI MI DecodingCode1
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
HappyFeat -- An interactive and efficient BCI framework for clinical applicationsCode1
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG ClassificationCode1
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingCode1
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNetCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Calibration-free online test-time adaptation for electroencephalography motor imagery decodingCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
Classification of Hand-Grasp Movements of Stroke Patients using EEG DataCode1
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretabilityCode1
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment ApproachCode1
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