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Estimating the Parameters of Fitzhugh–Nagumo Neurons from Neural Spiking Data
A theoretical and computational study on the estimation of the parameters of a single Fitzhugh–Nagumo model is presented. The difference of this work from a conventional system identification is that the measured data only consist of discrete and noisy neural spiking (spike times) data, which contai...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956007/ https://www.ncbi.nlm.nih.gov/pubmed/31835351 http://dx.doi.org/10.3390/brainsci9120364 |