Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference

Abstract excerpt

Biophysically detailed neural models are a powerful technique to study neural dynamics in health and disease with a growing number of established and openly available models. A major challenge in the use of such models is that parameter inference is an inherently difficult and unsolved problem. Identifying unique parameter distributions that can account for observed neural dynamics, and differences across experime...

Topics

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• Action Potentials
• Data Interpretation, Statistical
• Databases, Factual
• Functional Brain Connectivity Studies
• Hippocampus
• Models, Neurological
• Neurons
• Phenotype

Identifiers and source

Literature Corpus work

fcc0e7f5-a43f-530c-b318-967e6bbadce2

DOI

10.1101/2023.04.17.537118