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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Publicat a:Front Neuroinform
Autors principals: Nowke, Christian, Diaz-Pier, Sandra, Weyers, Benjamin, Hentschel, Bernd, Morrison, Abigail, Kuhlen, Torsten W., Peyser, Alexander
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2018
Matèries:
Neuroscience
Accés en línia: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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