SOTAVerified

Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 74 papers

TitleStatusHype
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
CBraMod: A Criss-Cross Brain Foundation Model for EEG DecodingCode3
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration—0
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge—0
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—0
Independent Feature Enhanced Crossmodal Fusion for Match-Mismatch Classification of Speech Stimulus and EEG Response—0
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding—0
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
Passenger hazard perception based on EEG signals for highly automated driving vehicles—0
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified