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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
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection—0
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
Modeling Grasp Motor Imagery through Deep Conditional Generative Models—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation—0
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining—0
Motor imagery classification using EEG spectrograms—0
Motor Imagery EEG Signals: Multi-Task Classification and Subject Identification with a Lightweight CNN—0
Motor Imagery Task Alters Dynamics of Human Body Posture—0
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier—0
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces—0
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution—0
MutualGraphNet: A novel model for motor imagery classification—0
Navigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface—0
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification—0
NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification—0
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination—0
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification—0
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement—0
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI—0
Phase/amplitude synchronization of brain signals during motor imagery BCI tasks—0
Phase Synchrony Component Self-Organization in Brain Computer Interface—0
Preliminary Assessment of hands motor imagery in theta- and beta-bands for Brain-Machine-Interfaces using functional connectivity analysis—0
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
Pseudo Channel: Time Embedding for Motor Imagery Decoding—0
Pseudo-online framework for BCI evaluation: A MOABB perspective—0
Real-Time EEG Classification via Coresets for BCI Applications—0
Research on Event-Related Desynchronization of Motor Imagery and Movement Based on Localized EEG Cortical Sources—0
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry—0
RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification—0
Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems—0
Robust Spatial Filtering with Beta Divergence—0
Scatter-based common spatial patterns -- a unified spatial filtering framework—0
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs—0
Siamese Neural Networks for EEG-based Brain-computer Interfaces—0
Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification—0
Single Channel-based Motor Imagery Classification using Fisher's Ratio and Pearson Correlation—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution—0
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant—0
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities—0
Spatial-Spectral Boosting Analysis for Stroke Patients' Motor Imagery EEG in Rehabilitation Training—0
Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification—0
Spectrally Adaptive Common Spatial Patterns—0
SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification—0
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