A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons

Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as gradient descent) in order to minimize the val...

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Detalles Bibliográficos
Autores principales: Vavoulis, Dimitrios V., Straub, Volko A., Aston, John A. D., Feng, Jianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291554/
https://www.ncbi.nlm.nih.gov/pubmed/22396632
http://dx.doi.org/10.1371/journal.pcbi.1002401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291554/
https://www.ncbi.nlm.nih.gov/pubmed/22396632
http://dx.doi.org/10.1371/journal.pcbi.1002401

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