The SONATA data format for efficient description of large-scale network models.

Autor: Kael Dai, Juan Hernando, Yazan N Billeh, Sergey L Gratiy, Judit Planas, Andrew P Davison, Salvador Dura-Bernal, Padraig Gleeson, Adrien Devresse, Benjamin K Dichter, Michael Gevaert, James G King, Werner A H Van Geit, Arseny V Povolotsky, Eilif Muller, Jean-Denis Courcol, Anton Arkhipov

Publikováno v: PLoS Computational Biology, Vol 16, Iss 2, p e1007696 (2020)

Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simu

Externí odkaz: https://doaj.org/article/96cd62f444274b59b61eee3ed7ac4d6c

The SONATA data format for efficient description of large-scale network models

Autor: Salvador Dura-Bernal, Jean-Denis Courcol, Arseny V. Povolotsky, Michael Gevaert, Sergey L. Gratiy, Padraig Gleeson, James G. King, Anton Arkhipov, Adrien Devresse, Eilif Muller, Werner Van Geit, Benjamin Dichter, Juan Hernando, Judit Planas, Yazan N. Billeh, Kael Dai, Andrew P. Davison

Publikováno v: PLoS Computational Biology, Vol 16, Iss 2, p e1007696 (2020)
PLOS Computational Biology
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2020, 16 (2), pp.e1007696. ⟨10.1371/journal.pcbi.1007696⟩

Increasing availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in scale, complexity, and biological realism of computational models in neuroscience. To support construction and simu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac99e6b68d127e996e93b4190c234a4b
https://doi.org/10.1371/journal.pcbi.1007696