Self-supervised Learning for Electroencephalogram: A Systematic Survey

no code implementations • 9 Jan 2024 • Weining Weng, Yang Gu, Shuai Guo, Yuan Ma, Zhaohua Yang, Yuchen Liu, Yiqiang Chen

2) We provide a comprehensive review of SSL for EEG analysis, including taxonomy, methodology, and technique details of the existing EEG-based SSL frameworks, and discuss the difference between these methods.

EEG Self-Supervised Learning

A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation

no code implementations • 21 Sep 2023 • Weining Weng, Yang Gu, Qihui Zhang, Yingying Huang, Chunyan Miao, Yiqiang Chen

Due to the abundant neurophysiological information in the electroencephalogram (EEG) signal, EEG signals integrated with deep learning methods have gained substantial traction across numerous real-world tasks.

Contrastive Learning EEG