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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
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.