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

Summary: 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 guidelin...

Full description

Bibliographic Details
Main Authors: Michael Lynn, Richard Naud, Jean-Claude Béïque
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166720301635