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Changes for page BluePyOpt

Last modified by abonard on 2025/09/16 10:47
From version 10.1
edited by abonard
on 2025/04/10 15:03
Change comment: There is no comment for this version
To version 16.1
edited by abonard
on 2025/04/10 15:11
Change comment: There is no comment for this version

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2 2  
3 3  * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
4 4  
5 -* ((( ==== **[[Intermediate >>||anchor = "HIntermediate-1"]]** ==== )))
6 -
7 7  === **Beginner** ===
8 8  
9 9  === [[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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21 21  **Level**: beginner(%%) **Type**: interactive tutorial
22 22  
23 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 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 -=== [[Tsodyks-Markram model of short-term synaptic plasticity>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/tsodyksmarkramstp/tsodyksmarkramstp.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
42 -
43 -**Level**: intermediate(%%) **Type**: interactive tutorial
44 -
45 -In this notebook we demonstrate how to fit the parameters of the Tsodyks-Markram model to a given in vitro somatic recording. The in vitro trace used here shows a typical L5TTPC-L5TTPC depressing connection, kindly provided by Rodrigo Perin (EPFL).
46 -=== [[Optimization of burst and tonic firing in thalamo-cortical neurons>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/thalamocortical-cell/thalamocortical-cell_opt.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
47 -
48 -**Level**: intermediate(%%) **Type**: interactive tutorial
49 -
50 -In this tutorial we will go over how to set up the cell model and the cell evaluator, run an optimisation and how to analyse optimisation results.
51 -