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Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

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Showing 1–50 of 74 papers

TitleStatusHype
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
CBraMod: A Criss-Cross Brain Foundation Model for EEG DecodingCode3
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationshipsCode1
Spatial Variation Generation Algorithm for Motor Imagery Data Augmentation: Increasing the Density of Sample VicinityCode1
Subject-Aware Contrastive Learning for BiosignalsCode1
Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG ClassificationCode1
MAtt: A Manifold Attention Network for EEG DecodingCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
EEG-CLIP : Learning EEG representations from natural language descriptionsCode1
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
Time-space-frequency feature Fusion for 3-channel motor imagery classificationCode1
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
Transformer-based Spatial-Temporal Feature Learning for EEG DecodingCode1
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model InterpretationCode1
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Embedding neurophysiological signalsCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Uncertainty Detection and Reduction in Neural Decoding of EEG SignalsCode0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
Large Transformers are Better EEG LearnersCode0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network—0
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors—0
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding—0
Improving EEG Decoding via Clustering-based Multi-task Feature Learning—0
Anchored-STFT and GNAA: An extension of STFT in conjunction with an adversarial data augmentation technique for the decoding of neural signals—0
Independent Feature Enhanced Crossmodal Fusion for Match-Mismatch Classification of Speech Stimulus and EEG Response—0
Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI—0
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
Latent Alignment with Deep Set EEG Decoders—0
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
Passenger hazard perception based on EEG signals for highly automated driving vehicles—0
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge—0
Relating EEG recordings to speech using envelope tracking and the speech-FFR—0
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
The "Sound of Silence" in EEG -- Cognitive voice activity detection—0
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings—0
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey—0
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration—0
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding—0
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified