Attention module improves both performance and interpretability of four‐dimensional functional magnetic resonance imaging decoding neural network

Decoding brain cognitive states from neuroimaging signals is an important topic in neuroscience. In recent years, deep neural networks (DNNs) have been recruited for multiple brain state decoding and achieved good performance. However, the open question of how to interpret the DNN black box remains...

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Detalles Bibliográficos
Autores principales: Jiang, Zhoufan, Wang, Yanming, Shi, ChenWei, Wu, Yueyang, Hu, Rongjie, Chen, Shishuo, Hu, Sheng, Wang, Xiaoxiao, Qiu, Bensheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9057093/
https://www.ncbi.nlm.nih.gov/pubmed/35212436
http://dx.doi.org/10.1002/hbm.25813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9057093/
https://www.ncbi.nlm.nih.gov/pubmed/35212436
http://dx.doi.org/10.1002/hbm.25813

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