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Lecture
Optimising Neuron Models: eFEL and BluePyOpt
Description
This lecture covers the tools eFEL and BluePyOpt for optimizing neuron models with experimental data. eFEL is a library to analyze voltage traces from single cells, providing a standardized way to calculate features like firing rate and action potential shape. BluePyOpt is a Python library that uses an evolutionary algorithm to find model parameters matching experimental data. It includes examples of single compartment and neocortical layer 5 pyramidal cell models.
Official source
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