Decoding olfactory response from neurophysiological signal with a multi modal deep learning framework

Chengxuan Tong

doi:10.1016/j.neunet.2025.107775

Decoding olfactory response from neurophysiological signal with a multi modal deep learning framework

2025-06-28

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DOI：10.1016/j.neunet.2025.107775

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Abstract

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• Developed TACAF to decode olfactory responses from EEG with breathing signals. • Collected an olfactory-stimulated EEG dataset with breathing signals. • Outperformed baseline methods in subject-dependent and leave-one-subject-out settings. • Visualize of learned features related to olfactory classification task.

Keywords:

Deep learning

Electroencephalography

Transformer

Neural Networks

Decoding olfactory response from neurophysiological signal with a multi modal deep learning framework

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