Lecture
Model Optimisation with eFel and BluePyOpt
Description
This lecture covers the process of optimising model parameters for neuron simulations using eFel and BluePyOpt. It includes creating cell models, extracting electrical features from experimental data, defining ion channel models, setting up cell evaluators, and running parameter optimisation algorithms. The lecture also demonstrates how to load neuron morphologies, add ion channels, specify model parameters, define protocols, and run simulations to compare model responses with experimental recordings.
Official source
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