Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation

Simulation models in many scientific fields can have non-unique solutions or unique solutions which can be difficult to find. Moreover, in evolving systems, unique final state solutions can be reached by multiple different trajectories. Neuroscience is no exception. Often, neural network models are...

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Опубликовано в: :Front Neuroinform
Главные авторы: Nowke, Christian, Diaz-Pier, Sandra, Weyers, Benjamin, Hentschel, Bernd, Morrison, Abigail, Kuhlen, Torsten W., Peyser, Alexander
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2018
Предметы:
Neuroscience
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5992991/
https://ncbi.nlm.nih.gov/pubmed/29937723
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2018.00032
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