NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML

As researchers develop computational models of neural systems with increasing sophistication and scale, it is often the case that fully de novo model development is impractical and inefficient. Thus arises a critical need to quickly find, evaluate, re-use, and build upon models and model components...

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Detalles Bibliográficos
Autores principales: Birgiolas, Justas, Haynes, Vergil, Gleeson, Padraig, Gerkin, Richard C., Dietrich, Suzanne W., Crook, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016719/
https://www.ncbi.nlm.nih.gov/pubmed/36867658
http://dx.doi.org/10.1371/journal.pcbi.1010941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016719/
https://www.ncbi.nlm.nih.gov/pubmed/36867658
http://dx.doi.org/10.1371/journal.pcbi.1010941

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