SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 252 papers

TitleStatusHype
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification—0
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation—0
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure—0
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems—0
A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State—0
Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification—0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks—0
EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification—0
CATVis: Context-Aware Thought Visualization—0
Effect of Simulated Space Conditions on functional Connectivity—0
Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping—0
Emotion-robust EEG Classification for Motor Imagery—0
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace—0
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification—0
Show:102550
← PrevPage 4 of 11Next →

No leaderboard results yet.