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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
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model—0
Deep Correlation Analysis for Audio-EEG Decoding—0
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface—0
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge—0
Distributionally Robust Cross Subject EEG Decoding—0
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding—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
Relating EEG recordings to speech using envelope tracking and the speech-FFR—0
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG—0
Large Transformers are Better EEG LearnersCode0
Uncertainty Detection and Reduction in Neural Decoding of EEG SignalsCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Embedding neurophysiological signalsCode0
Aggregating Intrinsic Information to Enhance BCI Performance through Federated LearningCode0
Deep Riemannian Networks for End-to-End EEG DecodingCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEIRAPearson Correlation0.44—Unverified