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Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics
While multicompartment models have long been used to study the biophysics of neurons, it is still challenging to infer the parameters of such models from data including uncertainty estimates. Here, we performed Bayesian inference for the parameters of detailed neuron models of a photoreceptor and an...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673784/ https://www.ncbi.nlm.nih.gov/pubmed/33107821 http://dx.doi.org/10.7554/eLife.54997 |