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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Detalles Bibliográficos
Autores principales: Nowke, Christian, Diaz-Pier, Sandra, Weyers, Benjamin, Hentschel, Bernd, Morrison, Abigail, Kuhlen, Torsten W., Peyser, Alexander
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/PMC5992991/
https://www.ncbi.nlm.nih.gov/pubmed/29937723
http://dx.doi.org/10.3389/fninf.2018.00032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992991/
https://www.ncbi.nlm.nih.gov/pubmed/29937723
http://dx.doi.org/10.3389/fninf.2018.00032

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