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EEG

Electroencephalography epilepsy

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TitleStatusHype
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCICode4
Are EEG-to-Text Models Working?Code3
NeuSpeech: Decode Neural signal as SpeechCode3
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer LearningCode3
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG SignalsCode3
CBraMod: A Criss-Cross Brain Foundation Model for EEG DecodingCode3
https://arxiv.org/pdf/2409.07491Code2
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion RecognitionCode2
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion RecognitionCode2
GREEN: a lightweight architecture using learnable wavelets and Riemannian geometry for biomarker explorationCode2
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion ModelsCode2
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionCode2
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked InputsCode2
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
Decoding speech perception from non-invasive brain recordingsCode2
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer InterfacesCode2
BSD: a Bayesian framework for parametric models of neural spectraCode2
DreamDiffusion: Generating High-Quality Images from Brain EEG SignalsCode2
Dynamic GNNs for Precise Seizure Detection and Classification from EEG DataCode2
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEGCode2
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG ModelCode2
A Survey of Spatio-Temporal EEG data Analysis: from Models to ApplicationsCode2
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