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 51–100 of 252 papers

TitleStatusHype
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment ApproachCode1
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesCode1
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
CATVis: Context-Aware Thought Visualization—0
Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning—0
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm—0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology—0
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry—0
Covariance Density Neural Networks—0
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs—0
SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification—0
Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals—0
A Generative System for Robot-to-Human Handovers: from Intent Inference to Spatial Configuration Imagery—0
Research on Event-Related Desynchronization of Motor Imagery and Movement Based on Localized EEG Cortical Sources—0
Motor Imagery EEG Signals: Multi-Task Classification and Subject Identification with a Lightweight CNN—0
Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces—0
Minima Possible Weights: A Homogenous Deep Ensemble Method for Cross-Subject Motor Imagery ClassificationCode0
Subject Specific Deep Learning Model for Motor Imagery Direction Decoding—0
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research—0
Low count of optically pumped magnetometers furnishes a reliable real-time access to sensorimotor rhythm—0
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer InterfacesCode0
Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems—0
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters—0
Effect of Simulated Space Conditions on functional Connectivity—0
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces—0
Different factors determining Motor Execution and Motor Imagery performance in a serial reaction time task with intrinsic variability—0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation—0
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms—0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
Graph-Dictionary Signal Model for Sparse Representations of Multivariate Data—0
From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios—0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination—0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals—0
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—0
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
Variability in Grasp Type Distinction for Myoelectric Prosthesis Control Using a Non-Invasive Brain-Machine Interface—0
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG ClassificationCode0
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Feature interpretability in BCIs: exploring the role of network lateralizationCode0
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs—0
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
Introducing the modularity graph: an application to brain functional networks—0
Single Channel-based Motor Imagery Classification using Fisher's Ratio and Pearson Correlation—0
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals—0
Show:102550
← PrevPage 2 of 6Next →

No leaderboard results yet.