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**Level**: beginner(%%) **Type**: interactive tutorial |
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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. |
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-=== [[Optimising synaptic parameters>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/expsyn/ExpSyn.ipynb||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: beginner(%%) **Type**: interactive tutorial |
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-This notebook shows how the parameters of a NEURON point process (in this case a synapse), can be optimised using BluePyOpt. |
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