ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing

Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handling of which requires specific programing skills....

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Detalles Bibliográficos
Autores principales: Aleksin, Sergey G., Zheng, Kaiyu, Rusakov, Dmitri A., Savtchenko, Leonid P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393895/
https://www.ncbi.nlm.nih.gov/pubmed/28362877
http://dx.doi.org/10.1371/journal.pcbi.1005467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393895/
https://www.ncbi.nlm.nih.gov/pubmed/28362877
http://dx.doi.org/10.1371/journal.pcbi.1005467

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