EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs

17 February 2024

Papers citing "EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs"

8 / 8 papers shown

Title
ALFEE: Adaptive Large Foundation Model for EEG Representation Wei Xiong Junming Lin Jiangtong Li Jie Li Changjun Jiang 30 0 0 07 May 2025
KnowEEG: Explainable Knowledge Driven EEG Classification A. Sahota Navid Mohammadi Foumani Raúl Santos-Rodríguez Z. Abdallah 24 0 0 01 May 2025
BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification Jian Qian Teck Lun Goh Bingyu Xie Chengyao Zhu Biao Wan Yawen Guan Rachel Ding Chen Patrick Chiang Mamba 47 0 0 14 Mar 2025
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection Yihe Wang Nan Huang Nadia Mammone Marco Cecchi Xiang Zhang 79 0 0 02 Feb 2025
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning Toyotaro Suzumura H. Kanezashi Shotaro Akahori AI4MH 74 0 0 25 Nov 2024
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 52 1 0 19 May 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
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 41 202 0 28 Jan 2021