Changes for page BluePyOpt

Last modified by abonard on 2025/04/10 15:12

From version 4.1
edited by abonard
on 2025/04/10 15:03
Change comment: There is no comment for this version
To version 8.1
edited by abonard
on 2025/04/10 15:03
Change comment: There is no comment for this version

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3 3  * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
4 4  
5 +* ((( ==== **[[Intermediate >>||anchor = "HIntermediate-1"]]** ==== )))
6 +
5 5  === **Beginner** ===
6 6  
7 7  === [[Creating a simple cell optimisation>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/simplecell/simplecell.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
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14 14  **Level**: beginner(%%) **Type**: interactive tutorial
15 15  
16 16  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.
19 +=== [[Optimising synaptic parameters>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/expsyn/ExpSyn.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
17 17  
21 +**Level**: beginner(%%) **Type**: interactive tutorial
22 +
23 +This notebook shows how the parameters of a NEURON point process (in this case a synapse), can be optimised using BluePyOpt.
24 +=== **Intermediate** ===
25 +
26 +=== [[Creating an optimisation with meta parameters>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/metaparameters/metaparameters.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
27 +
28 +**Level**: intermediate(%%) **Type**: interactive tutorial
29 +
30 +This notebook will explain how to set up an optimisation that uses metaparameters (parameters that control other parameters)
31 +=== [[Setup of a cell model with multi electrode simulation for local field potential recording>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/l5pc_lfpy/L5PC_LFPy.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
32 +
33 +**Level**: intermediate(%%) **Type**: interactive tutorial
34 +
35 +This notebook will demonstrate how to instantiate a cell model and evaluator that include local field potential (LFP) computation and its recording using a simulated multi electrode array (MEA).
36 +=== [[Exporting a cell in the neuroml format and running it>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/neuroml/neuroml.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
37 +
38 +**Level**: intermediate(%%) **Type**: interactive tutorial
39 +
40 +In this tutorial we will go over how to export a cell to neuroml, create a LEMS simulation able to run the neuroml cell and then how to run the simulation.
41 +