Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning

The laminar organization of the cerebral cortex is a fundamental characteristic of the brain, with essential implications for cortical function. Due to the rapidly growing amount of high-resolution brain imaging data, a great demand arises for automated and flexible methods for discriminating the la...

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Detalles Bibliográficos
Autores principales: Li, Dong, Zavaglia, Melissa, Wang, Guangyu, Xie, Hong, Hu, Yi, Werner, Rene, Guan, Ji-Song, Hilgetag, Claus C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520410/
https://www.ncbi.nlm.nih.gov/pubmed/31092841
http://dx.doi.org/10.1038/s41598-019-43432-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520410/
https://www.ncbi.nlm.nih.gov/pubmed/31092841
http://dx.doi.org/10.1038/s41598-019-43432-y

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