Last modified by spreizer on 2025/08/26 09:19

From version 20.1
edited by spreizer
on 2025/07/30 11:06
Change comment: There is no comment for this version
To version 21.1
edited by spreizer
on 2025/07/30 11:10
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -16,7 +16,7 @@
16 16  
17 17  **Instructor**: Sebastian Spreizer, PhD, University of Trier and Research Center Jülich
18 18  
19 -- [[Abstract>>url:https://wiki.ebrains.eu/bin/view/Collabs/swedish-node-nest-tutorials/About/]]
19 +- [[Tutorial abstract>>url:https://wiki.ebrains.eu/bin/view/Collabs/swedish-node-nest-tutorials/About/]]
20 20  
21 21  
22 22  The tutorial is composed of three parts in which the user learns to simulate with NEST step by step.
... ... @@ -28,7 +28,6 @@
28 28  |(% style="width:84px" %)12 - 15|(% style="width:235px" %)NEST Simulator|(% style="width:541px" %)[[https:~~/~~/nest-simulator.readthedocs.org/>>https://nest-simulator.readthedocs.org/]]
29 29  |(% style="width:84px" %)15 - 18|(% style="width:235px" %)NESTML|(% style="width:541px" %)[[https:~~/~~/nestml.readthedocs.org/>>https://nestml.readthedocs.org/]]
30 30  
31 -
32 32  === 1) NEST Desktop ===
33 33  
34 34  The first part of the tutorial, we look at NEST Desktop.  As a goal we will create and analyze a balanced two-population network.
... ... @@ -37,7 +37,7 @@
37 37  
38 38  === 2) NEST Simulator ===
39 39  
40 -The tutorial will then turn to Jupyter (Python) notebooks where we will start by creating a spiking neurons. Here, we learn advanced steps to write code with NEST Simulation syntax. The scripting codes allow us to customize sophisticated use cases with NEST simulations. Examples are:
39 +The tutorial will then turn to Jupyter (Python) notebooks where we will start by creating spiking neurons. Here, we learn advanced steps to write code with NEST Simulation syntax. The scripting codes allow us to customize sophisticated use cases with NEST simulations. Examples are:
41 41  
42 42  * neuronal dynamics
43 43  * large scale networks,