Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder

Deep neural networks have recently been applied to the study of brain disorders such as autism spectrum disorder (ASD) with great success. However, the internal logics of these networks are difficult to interpret, especially with regard to how specific network architecture decisions are made. In thi...

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Detalles Bibliográficos
Autores principales: Hu, Jinlong, Cao, Lijie, Li, Tenghui, Liao, Bin, Dong, Shoubin, Li, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251440/
https://www.ncbi.nlm.nih.gov/pubmed/32508974
http://dx.doi.org/10.1155/2020/1394830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251440/
https://www.ncbi.nlm.nih.gov/pubmed/32508974
http://dx.doi.org/10.1155/2020/1394830

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