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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| 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 |