Last modified by spreizer on 2025/08/26 09:19
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1 -EBRAINS Swedish Node Workshop 2025: NEST Tutorials
1 +Swedish Node: NEST Tutorials
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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= NEST Tutorials =
5 += My Collab's Extended Title =
6 6  
7 -EBRAINS Swedish Node, Stockholm, 25/08/25 - 27/08/25
7 +My collab's subtitle
8 8  )))
9 9  )))
10 10  
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12 12  (((
13 13  (% class="col-xs-12 col-sm-8" %)
14 14  (((
15 -== From single-cell modeling to large-scale network dynamics with NEST Simulator ==
15 += What can I find here? =
16 16  
17 -**Instructor**: Sebastian Spreizer, PhD, University of Trier and Research Center Jülich
17 +* Notice how the table of contents on the right
18 +* is automatically updated
19 +* to hold this page's headers
18 18  
19 -- [[Abstract>>url:https://wiki.ebrains.eu/bin/view/Collabs/swedish-node-nest-tutorials/About/]]
21 += Who has access? =
20 20  
21 -
22 -The tutorial is composed of three parts in which the user learns to simulate with NEST step by step.
23 -
24 -
25 -==== Time schedule ====
26 -
27 -|(% style="width:84px" %)9 - 11|(% style="width:235px" %)NEST Desktop|(% style="width:541px" %)[[https:~~/~~/nest-desktop.readthedocs.org/>>https://nest-desktop.readthedocs.org/]]
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 -|(% style="width:84px" %)15 - 18|(% style="width:235px" %)NESTML|(% style="width:541px" %)[[https:~~/~~/nestml.readthedocs.org/>>https://nestml.readthedocs.org/]]
30 -
31 -
32 -==== Descriptions ====
33 -
34 -1) The first part of the tutorial, we look at NEST Desktop.  As a goal we will create and analyze a balanced two-population network.
35 -
36 -
37 -2) 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:
38 -
39 -* neuronal dynamics
40 -* large scale networks,
41 -* networks of spatial neurons
42 -* using plasticity
43 -
44 -
45 -3) The last part is using NESTML to create custom neuron and synapse models for NEST Simulator. A functional plasticity rule will then be introduced into the balanced E/I network to implement a biologically realistic version of reinforcement learning. This will be done by formulating the learning model in the NESTML language syntax, and using the associated toolchain to generate code for NEST [4].
46 -
47 -* [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/nestml-tutorials>>https://wiki.ebrains.eu/bin/view/Collabs/nestml-tutorials]]
48 -
49 -
50 -
23 +Describe the audience of this collab.
51 51  )))
52 52  
53 53  
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