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Parameter Estimation of Two Spiking Neuron Models With Meta-Heuristic Optimization Algorithms
The automatic fitting of spiking neuron models to experimental data is a challenging problem. The integrate and fire model and Hodgkin–Huxley (HH) models represent the two complexity extremes of spiking neural models. Between these two extremes lies two and three differential-equation-based models....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888432/ https://www.ncbi.nlm.nih.gov/pubmed/35250525 http://dx.doi.org/10.3389/fninf.2022.771730 |