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Changes for page BluePyOpt

Last modified by abonard on 2025/06/13 16:05
From version 45.1
edited by abonard
on 2025/06/03 11:00
Change comment: There is no comment for this version
To version 50.1
edited by abonard
on 2025/06/13 16:05
Change comment: There is no comment for this version

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4 4  
5 5  * ((( ==== **[[Intermediate >>||anchor = "HIntermediate-1"]]** ==== )))
6 6  
7 -* ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== )))
8 -
9 9  === **Beginner** ===
10 10  
11 11  === [[Creating a simple cell optimisation>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/simplecell/simplecell.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
... ... @@ -30,36 +30,4 @@
30 30  **Level**: intermediate(%%) **Type**: interactive tutorial
31 31  
32 32  This notebook will explain how to set up an optimisation that uses metaparameters (parameters that control other parameters)
33 -=== [[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"]] ===
34 34  
35 -**Level**: intermediate(%%) **Type**: interactive tutorial
36 -
37 -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).
38 -=== [[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"]] ===
39 -
40 -**Level**: intermediate(%%) **Type**: interactive tutorial
41 -
42 -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.
43 -=== [[Tsodyks-Markram model of short-term synaptic plasticity>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/tsodyksmarkramstp/tsodyksmarkramstp.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
44 -
45 -**Level**: intermediate(%%) **Type**: interactive tutorial
46 -
47 -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).
48 -=== [[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"]] ===
49 -
50 -**Level**: intermediate(%%) **Type**: interactive tutorial
51 -
52 -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.
53 -=== **Advanced** ===
54 -
55 -=== [[Optimisation of a Neocortical Layer 5 Pyramidal Cell>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/l5pc/L5PC.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
56 -
57 -**Level**: advanced(%%) **Type**: interactive tutorial
58 -
59 -This notebook shows you how to optimise the maximal conductance of Neocortical Layer 5 Pyramidal Cell as used in Markram et al. 2015.
60 -=== [[Optimisation of a Neocortical Layer 5 Pyramidal Cell in Arbor>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/l5pc/L5PC_arbor.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
61 -
62 -**Level**: advanced(%%) **Type**: interactive tutorial
63 -
64 -This notebook shows you how to optimise the maximal conductance of Neocortical Layer 5 Pyramidal Cell as used in Markram et al. 2015 using Arbor as the simulator.
65 -