Attention: Due to an upgrade beginning on Friday, the 22nd August 2025, any new collabs, groups and any changes to teams will not be kept beyond the weekend. User creation will also be disabled during this time. The actual upgrade will take place on Wednesday, 27th August. On that day, any service requiring a Keycloak login will be unavailable for the duration of the upgrade. Thank you for your understanding as we complete this important work.


Changes for page BluePyOpt

Last modified by abonard on 2025/06/13 16:05

From version 53.1
edited by abonard
on 2025/06/13 16:05
Change comment: There is no comment for this version
To version 57.1
edited by abonard
on 2025/06/13 16:05
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -4,6 +4,8 @@
4 4  
5 5  * ((( ==== **[[Intermediate >>||anchor = "HIntermediate-1"]]** ==== )))
6 6  
7 +* ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== )))
8 +
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"]] ===
... ... @@ -43,4 +43,26 @@
43 43  **Level**: intermediate(%%) **Type**: interactive tutorial
44 44  
45 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).
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"]] ===
46 46  
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 +=== [[Simulating optimized cell models in Arbor and cross-validation with Neuron>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/l5pc/l5pc_validate_neuron_arbor.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
66 +
67 +**Level**: advanced(%%) **Type**: interactive tutorial
68 +
69 +This notebook demonstrates how to run a simulation of a simple single compartmental cell with fixed/optimized parameters in Arbor. We follow the standard BluePyOpt flow of setting up an electrophysiological experiment and export the cell model to a mixed JSON/ACC-format. We then cross-validate voltage traces obtained with Arbor with those from a Neuron simulation.
70 +