Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data

The reproduction and replication of scientific results is an indispensable aspect of good scientific practice, enabling previous studies to be built upon and increasing our level of confidence in them. However, reproducibility and replicability are not sufficient: an incorrect result will be accurat...

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Detalles Bibliográficos
Autores principales: Trensch, Guido, Gutzen, Robin, Blundell, Inga, Denker, Michael, Morrison, Abigail
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/PMC6275234/
https://www.ncbi.nlm.nih.gov/pubmed/30534066
http://dx.doi.org/10.3389/fninf.2018.00081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6275234/
https://www.ncbi.nlm.nih.gov/pubmed/30534066
http://dx.doi.org/10.3389/fninf.2018.00081

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