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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
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
EEG-CLIP : Learning EEG representations from natural language descriptionsCode1
MAtt: A Manifold Attention Network for EEG DecodingCode1
Subject-Aware Contrastive Learning for BiosignalsCode1
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding—0
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified