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Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–74 of 74 papers

TitleStatusHype
A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognition—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model InterpretationCode1
Uncertainty Detection and Reduction in Neural Decoding of EEG SignalsCode0
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification—0
Transformer-based Spatial-Temporal Feature Learning for EEG DecodingCode1
Deep Correlation Analysis for Audio-EEG Decoding—0
Inter-subject Deep Transfer Learning for Motor Imagery 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
The "Sound of Silence" in EEG -- Cognitive voice activity detection—0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
Subject-Aware Contrastive Learning for BiosignalsCode1
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface—0
Decoding P300 Variability using Convolutional Neural NetworksCode0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
A large-scale evaluation framework for EEG deep learning architectures—0
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding—0
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks—0
Deep learning with convolutional neural networks for EEG decoding and visualizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified