Code Generation in Computational Neuroscience: A Review of Tools and Techniques

Advances in experimental techniques and computational power allowing researchers to gather anatomical and electrophysiological data at unprecedented levels of detail have fostered the development of increasingly complex models in computational neuroscience. Large-scale, biophysically detailed cell m...

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Detalles Bibliográficos
Autores principales: Blundell, Inga, Brette, Romain, Cleland, Thomas A., Close, Thomas G., Coca, Daniel, Davison, Andrew P., Diaz-Pier, Sandra, Fernandez Musoles, Carlos, Gleeson, Padraig, Goodman, Dan F. M., Hines, Michael, Hopkins, Michael W., Kumbhar, Pramod, Lester, David R., Marin, Bóris, Morrison, Abigail, Müller, Eric, Nowotny, Thomas, Peyser, Alexander, Plotnikov, Dimitri, Richmond, Paul, Rowley, Andrew, Rumpe, Bernhard, Stimberg, Marcel, Stokes, Alan B., Tomkins, Adam, Trensch, Guido, Woodman, Marmaduke, Eppler, Jochen Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230720/
https://www.ncbi.nlm.nih.gov/pubmed/30455637
http://dx.doi.org/10.3389/fninf.2018.00068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230720/
https://www.ncbi.nlm.nih.gov/pubmed/30455637
http://dx.doi.org/10.3389/fninf.2018.00068

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