Stochastic non-linear oscillator models of EEG: the Alzheimer's disease case

In this article, the Electroencephalography (EEG) signal of the human brain is modeled as the output of stochastic non-linear coupled oscillator networks. It is shown that EEG signals recorded under different brain states in healthy as well as Alzheimer's disease (AD) patients may be understood...

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Detalles Bibliográficos
Autores principales: Ghorbanian, Parham, Ramakrishnan, Subramanian, Ashrafiuon, Hashem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408857/
https://www.ncbi.nlm.nih.gov/pubmed/25964756
http://dx.doi.org/10.3389/fncom.2015.00048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408857/
https://www.ncbi.nlm.nih.gov/pubmed/25964756
http://dx.doi.org/10.3389/fncom.2015.00048

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