Physics-informed Embedding Network with Multi-Task Transformer for Auditory Signal Decoding

The proposed model was evaluated on the fMRI dataset we collected from healthy subjects. In the fMRI experiment, subjects were asked to imagine and listen to four categories auditory information (Human, Animal, Machine, Nature), and we obtained eight categories of auditory neural activity which would be classified to test the performance of our model.

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Wanli Ma, Xuegang Tang, Jin Gu, Ying Wang, Yuling Xia (2024). Dataset: Physics-informed Embedding Network with Multi-Task Transformer for Auditory Signal Decoding. https://doi.org/10.57702/cvehay4n

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Wanli Ma
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Xuegang Tang
Jin Gu
Ying Wang
Yuling Xia