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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...
Autores principales: | Birgiolas, Justas, Haynes, Vergil, Gleeson, Padraig, Gerkin, Richard C., Dietrich, Suzanne W., Crook, Sharon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
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 |
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