Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces
As deep learning has achieved state-of-the-art performance for many tasks of EEG-based BCI, many efforts have been made in recent years trying to understand what have been learned by the models. This is commonly done by generating a heatmap indicating to which extent each pixel of the input contribu...
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Main Authors: | Cui, Jian, Yuan, Liqiang, Wang, Zhaoxiang, Li, Ruilin, Jiang, Tianzi |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/171575 |
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Institution: | Nanyang Technological University |
Language: | English |
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