Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications
Author:
Affiliation:
1. Department of Robotics Engineering, Nazarbayev University, Astana, Kazakhstan
2. Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan
Funder
Nazarbayev University under the Faculty Development Competitive Research Grant Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10305163.pdf?arnumber=10305163
Reference220 articles.
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3. MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG
4. Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
5. Transformers in Vision: A Survey
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