Large Transformers are Better EEG Learners
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Bingxin, Fu, Xiaowen, Lan, Yuan, Zhang, Luchan, Zheng, Wei, Xiang, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning
by: Fu, Xiaowen, et al.
Published: (2024)
by: Fu, Xiaowen, et al.
Published: (2024)
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024)
by: Wang, Yiye, et al.
Published: (2024)
EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
by: Zheng, Ruifeng, et al.
Published: (2025)
by: Zheng, Ruifeng, et al.
Published: (2025)
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
by: Jiang, Zekun, et al.
Published: (2024)
by: Jiang, Zekun, et al.
Published: (2024)
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)
by: Chen, Zhisheng, et al.
Published: (2025)
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
by: Peng, Wei, et al.
Published: (2024)
by: Peng, Wei, et al.
Published: (2024)
How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
by: Ngo, Huyen, et al.
Published: (2024)
by: Ngo, Huyen, et al.
Published: (2024)
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
by: Wang, Zirui, et al.
Published: (2025)
by: Wang, Zirui, et al.
Published: (2025)
Long-Term EEG Partitioning for Seizure Onset Detection
by: Chen, Zheng, et al.
Published: (2024)
by: Chen, Zheng, et al.
Published: (2024)
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
by: Shi, Enze, et al.
Published: (2024)
by: Shi, Enze, et al.
Published: (2024)
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
by: Aung, Htoo Wai, et al.
Published: (2024)
by: Aung, Htoo Wai, et al.
Published: (2024)
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
by: Lai, Junhong, et al.
Published: (2025)
by: Lai, Junhong, et al.
Published: (2025)
Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
by: Pradeepkumar, Jathurshan, et al.
Published: (2025)
by: Pradeepkumar, Jathurshan, et al.
Published: (2025)
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
by: Aung, Htoo Wai, et al.
Published: (2024)
by: Aung, Htoo Wai, et al.
Published: (2024)
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
by: Song, Zhenxi, et al.
Published: (2024)
by: Song, Zhenxi, et al.
Published: (2024)
Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers
by: Pham, Tien-Dat, et al.
Published: (2026)
by: Pham, Tien-Dat, et al.
Published: (2026)
Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
by: Hwaidi, Jamal, et al.
Published: (2025)
by: Hwaidi, Jamal, et al.
Published: (2025)
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
by: Wang, Yihe, et al.
Published: (2024)
by: Wang, Yihe, et al.
Published: (2024)
A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
by: Wang, Jinfeng, et al.
Published: (2025)
by: Wang, Jinfeng, et al.
Published: (2025)
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
by: Modesitt, Eric, et al.
Published: (2024)
by: Modesitt, Eric, et al.
Published: (2024)
Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method
by: Zhang, ZhongYi, et al.
Published: (2025)
by: Zhang, ZhongYi, et al.
Published: (2025)
SSAS: Cross-subject EEG-based Emotion Recognition through Source Selection with Adversarial Strategy
by: Liu, Yici, et al.
Published: (2025)
by: Liu, Yici, et al.
Published: (2025)
Knowledge-guided EEG Representation Learning
by: Kommineni, Aditya, et al.
Published: (2024)
by: Kommineni, Aditya, et al.
Published: (2024)
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
by: Carzaniga, Francesco Stefano, et al.
Published: (2025)
by: Carzaniga, Francesco Stefano, et al.
Published: (2025)
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
by: An, Sion, et al.
Published: (2024)
by: An, Sion, et al.
Published: (2024)
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN
by: Mishra, Rahul, et al.
Published: (2024)
by: Mishra, Rahul, et al.
Published: (2024)
Review of algorithms for predicting fatigue using EEG
by: Rakhmatulin, Ildar
Published: (2024)
by: Rakhmatulin, Ildar
Published: (2024)
Federated GNNs for EEG-Based Stroke Assessment
by: Protani, Andrea, et al.
Published: (2024)
by: Protani, Andrea, et al.
Published: (2024)
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)
by: Li, Yisheng, et al.
Published: (2024)
SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition
by: Wang, Qi, et al.
Published: (2023)
by: Wang, Qi, et al.
Published: (2023)
SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
Toward the application of XAI methods in EEG-based systems
by: Apicella, Andrea, et al.
Published: (2022)
by: Apicella, Andrea, et al.
Published: (2022)
Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors
by: Masrur, Saad, et al.
Published: (2025)
by: Masrur, Saad, et al.
Published: (2025)
A Semi-amortized Lifted Learning-to-Optimize Masked (SALLO-M) Transformer Model for Scalable and Generalizable Beamforming
by: Zhang, Yubo, et al.
Published: (2025)
by: Zhang, Yubo, et al.
Published: (2025)
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
by: Georgis-Yap, Zakary, et al.
Published: (2023)
by: Georgis-Yap, Zakary, et al.
Published: (2023)
The Deep-Match Framework for Event-Related Potential Detection in EEG
by: Zylinski, Marek, et al.
Published: (2026)
by: Zylinski, Marek, et al.
Published: (2026)
Temporal Context and Architecture: A Benchmark for Naturalistic EEG Decoding
by: Ergezer, Mehmet
Published: (2026)
by: Ergezer, Mehmet
Published: (2026)
EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping
by: Gijsen, Sam, et al.
Published: (2024)
by: Gijsen, Sam, et al.
Published: (2024)
ZUNA: Flexible EEG Superresolution with Position-Aware Diffusion Autoencoders
by: Warner, Christopher, et al.
Published: (2026)
by: Warner, Christopher, et al.
Published: (2026)
Similar Items
-
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning
by: Fu, Xiaowen, et al.
Published: (2024) -
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024) -
EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
by: Zheng, Ruifeng, et al.
Published: (2025) -
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
by: Jiang, Zekun, et al.
Published: (2024) -
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)