BluePyOpt

Version 4.1 by abonard on 2025/04/10 15:03

Beginner

Creating a simple cell optimisation

Level: beginner  Type: interactive tutorial

This notebook will explain how to set up an optimisation of simple single compartmental cell with two free parameters that need to be optimised. As this optimisation is for example purpose only, no real experimental data is used in this notebook.

Optimisation using the CMA evolutionary strategy

Level: beginner  Type: interactive tutorial

This notebook will explain how to optimise a model using the covariance matrix adaptation (CMA) optimisation strategy. BluePyOpt includes two flavors of CMA: a single objective one and a hybrid single/multi objective one.