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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
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain--Machine InterfacesCode0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020Code0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG ClassificationCode1
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices—0
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data—0
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS—0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Improving J-divergence of brain connectivity states by graph Laplacian denoising—0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems—0
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface—0
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients—0
Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design—0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification—0
Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI—0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery—0
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean SpaceCode1
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