Parameter estimation and identifiability in a neural population model for electro-cortical activity

Electroencephalography (EEG) provides a non-invasive measure of brain electrical activity. Neural population models, where large numbers of interacting neurons are considered collectively as a macroscopic system, have long been used to understand features in EEG signals. By tuning dozens of input pa...

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Detalles Bibliográficos
Autores principales: Hartoyo, Agus, Cadusch, Peter J., Liley, David T. J., Hicks, Damien G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542506/
https://www.ncbi.nlm.nih.gov/pubmed/31145724
http://dx.doi.org/10.1371/journal.pcbi.1006694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542506/
https://www.ncbi.nlm.nih.gov/pubmed/31145724
http://dx.doi.org/10.1371/journal.pcbi.1006694

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