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Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 74 papers

TitleStatusHype
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
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
EEG decoding with conditional identification information—0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network—0
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge—0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding—0
Latent Alignment with Deep Set EEG Decoders—0
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors—0
Large Transformers are Better EEG LearnersCode0
Distributionally Robust Cross Subject EEG Decoding—0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
Evaluating the structure of cognitive tasks with transfer learning—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
Relating EEG recordings to speech using envelope tracking and the speech-FFR—0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified