A set of tools for fitting single- or multi-compartment neuron models parameters, using NSGA2 or Krayzman's dynamically weighted multi-objective optimization
| ├── README.md | This file |
| ├── pyneuronautofit | module with extension of inspyred |
| │ ├── autofit.py | |
| │ ├── evaluator.py | evaluates a model |
| │ ├── fitter.py | main script for fitting |
| │ ├── init.py | |
| │ ├── main.py -> fitter.py | just link for python -m pyneuronautofit |
| │ └── runandtest.py | runs and tests a model can be call independently |
| ├── scripts | directory with useful scripts |
| │ ├── recovery-archive.sh | recover archive if run was aborted |
| │ └── unique-in-ArXive.py | collects only unique models |
| └── templates | |
| └── project.py | project file with all settings |