SOTAVerified

Eeg Decoding

EEG Decoding - extracting useful information directly from EEG data.

Papers

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Showing 21–30 of 74 papers

TitleStatusHype
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding—0
Distributionally Robust Cross Subject EEG Decoding—0
Combining Euclidean Alignment and Data Augmentation for BCI decoding—0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding—0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks—0
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding—0
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified