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...

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Detalles Bibliográficos
Autores principales: Oesterle, Jonathan, Behrens, Christian, Schröder, Cornelius, Hermann, Thoralf, Euler, Thomas, Franke, Katrin, Smith, Robert G, Zeck, Günther, Berens, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Computational and Systems Biology
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

Internet

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

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