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Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 74 papers

TitleStatusHype
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding—0
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding—0
EEG-CLIP : Learning EEG representations from natural language descriptionsCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG—0
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics—0
Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI—0
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
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings—0
Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
Combining Euclidean Alignment and Data Augmentation for BCI decoding—0
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified