Accurate Silent Synapse Estimation from Simulator-Corrected Electrophysiological Data Using the SilentMLE Python Package

The proportion of silent (AMPAR-lacking) synapses is thought to be related to the plasticity potential of neural networks. We created a maximum-likelihood estimator of silent synapse fraction based on simulations of the underlying experimental methodology. Here, we provide a set of guidelines for ru...

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Detalles Bibliográficos
Autores principales: Lynn, Michael, Naud, Richard, Béïque, Jean-Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757407/
https://www.ncbi.nlm.nih.gov/pubmed/33377070
http://dx.doi.org/10.1016/j.xpro.2020.100176

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757407/
https://www.ncbi.nlm.nih.gov/pubmed/33377070
http://dx.doi.org/10.1016/j.xpro.2020.100176

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