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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 1–25 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
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
Neuro-GPT: Towards A Foundation Model for EEGCode2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
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
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIsCode1
The more, the better? Evaluating the role of EEG preprocessing for deep learning applicationsCode1
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery ClassificationCode1
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Calibration-free online test-time adaptation for electroencephalography motor imagery decodingCode1
EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanismsCode1
HappyFeat -- An interactive and efficient BCI framework for clinical applicationsCode1
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
A Strong and Simple Deep Learning Baseline for BCI MI DecodingCode1
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
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