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Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

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Showing 11–20 of 74 papers

TitleStatusHype
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationshipsCode1
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG ClassificationCode1
EEG-CLIP : Learning EEG representations from natural language descriptionsCode1
Subject-Aware Contrastive Learning for BiosignalsCode1
Large Transformers are Better EEG LearnersCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Embedding neurophysiological signalsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified