EEGFormer: Towards Transferable and Interpretable Large-Scale EEG
Foundation Model

EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model

11 January 2024

Yansen Wang

Dongsheng Li

Lili Qiu

Papers citing "EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model"

4 / 4 papers shown

Title
A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives Junhong Lai Jiyu Wei Lin Yao Yueming Wang 38 0 0 24 Apr 2025
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals Hui Zheng Haiteng Wang Wei-Bang Jiang Zhongtao Chen Li He Pei-Yang Lin Peng-Hu Wei Guo-Guang Zhao Yun-Zhe Liu 41 1 0 19 May 2024
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning Mohammad Javad Darvishi Bayazi M. S. Ghaemi Timothée Lesort Md Rifat Arefin Jocelyn Faubert Irina Rish 9 11 0 19 Sep 2023
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 198 0 28 Jan 2021