EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

This study introduces the EEG Conformer, a Convolutional Transformer model designed for EEG decoding and visualization. The research presents a cutting-edge approach in neural systems and rehabilitation engineering, offering advancements in EEG analysis techniques. By combining convolutional neural networks with transformer architecture, the EEG Conformer demonstrates promising results in decoding EEG signals and facilitating visualization for improved understanding and interpretation.

• EEG Conformer
• Convolutional Transformer
• EEG Decoding
• Visualization
• Neural Systems

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Uploaded on Aug 14, 2024 | 1 Views

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1. Transformer for Time Series Prediction Newest work Same dataset SOTA idea

2. 2. EEG Comforter Network Structure Y. Song, Q. Zheng, B. Liu and X. Gao, "EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 710-719, 2023, doi: 10.1109/TNSRE.2022.3230250.

4. Compare: EEG Transformer arxiv.org/abs/2106.11170

6. CNN+Transformer