Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn

Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the development of tools and strategies to efficiently find these regions of high importance to advance brain research. Expl...

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Detalles Bibliográficos
Autores principales: Yegenoglu, Alper, Subramoney, Anand, Hater, Thorsten, Jimenez-Romero, Cristian, Klijn, Wouter, Pérez Martín, Aarón, van der Vlag, Michiel, Herty, Michael, Morrison, Abigail, Diaz-Pier, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199579/
https://www.ncbi.nlm.nih.gov/pubmed/35720775
http://dx.doi.org/10.3389/fncom.2022.885207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199579/
https://www.ncbi.nlm.nih.gov/pubmed/35720775
http://dx.doi.org/10.3389/fncom.2022.885207

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