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Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 74 papers

TitleStatusHype
EEG decoding with conditional identification information—0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network—0
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge—0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding—0
Latent Alignment with Deep Set EEG Decoders—0
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors—0
Large Transformers are Better EEG LearnersCode0
Distributionally Robust Cross Subject EEG Decoding—0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
Evaluating the structure of cognitive tasks with transfer learning—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG ClassificationCode1
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
Relating EEG recordings to speech using envelope tracking and the speech-FFR—0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Federated deep transfer learning for EEG decoding using multiple BCI tasks—0
Embedding neurophysiological signalsCode0
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationshipsCode1
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
MAtt: A Manifold Attention Network for EEG DecodingCode1
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified