Using Evolutionary Algorithms for Fitting High-Dimensional Models to Neuronal Data

In the study of neurosciences, and of complex biological systems in general, there is frequently a need to fit mathematical models with large numbers of parameters to highly complex datasets. Here we consider algorithms of two different classes, gradient following (GF) methods and evolutionary algor...

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Detalles Bibliográficos
Autores principales: Svensson, Carl-Magnus, Coombes, Stephen, Peirce, Jonathan Westley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272374/
https://www.ncbi.nlm.nih.gov/pubmed/22258828
http://dx.doi.org/10.1007/s12021-012-9140-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272374/
https://www.ncbi.nlm.nih.gov/pubmed/22258828
http://dx.doi.org/10.1007/s12021-012-9140-7

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