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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 101–150 of 252 papers

TitleStatusHype
Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of DatasetsCode0
A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training—0
Pseudo-online framework for BCI evaluation: A MOABB perspective—0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
Deep Learning Architecture for Motor Imaged Words—0
Feature Reweighting for EEG-based Motor Imagery Classification—0
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
Decoding Brain Motor Imagery with various Machine Learning techniques—0
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces—0
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretabilityCode1
Scatter-based common spatial patterns -- a unified spatial filtering framework—0
Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI PerformanceCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Classification of BCI-EEG based on augmented covariance matrixCode0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingCode1
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events—0
Motor imagery classification using EEG spectrograms—0
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities—0
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency AnalysisCode1
The evolution of AI approaches for motor imagery EEG-based BCIs—0
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features—0
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
An intertwined neural network model for EEG classification in brain-computer interfaces—0
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
Improving Motor Imagery EEG Classification Based on Channel Selection Using a Deep Learning ArchitectureCode0
Data augmentation for learning predictive models on EEG: a systematic comparisonCode1
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder—0
EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery ClassificationCode1
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection—0
Towards physiology-informed data augmentation for EEG-based BCIs—0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection—0
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation FrameworkCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Spectrally Adaptive Common Spatial Patterns—0
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery ClassificationCode1
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model InterpretationCode1
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