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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 176–200 of 252 papers

TitleStatusHype
Towards physiology-informed data augmentation for EEG-based BCIs—0
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach—0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016—0
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients—0
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders—0
Transferring BCI models from calibration to control: Observing shifts in EEG features—0
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs—0
Transferring Subspaces Between Subjects in Brain-Computer Interfacing—0
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning—0
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing—0
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding—0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism—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
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