Last modified by spreizer on 2025/08/26 09:19
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edited by spreizer
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edited by spreizer
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1 -NEST Tutorials
1 +EBRAINS Swedish Node Workshop 2025: NEST Tutorials
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14 14  (((
15 15  == From single-cell modeling to large-scale network dynamics with NEST Simulator ==
16 16  
17 -**Instructor**: Sebastian Spreizer, PhD University of Trier and Research Center Jülich
17 +**Instructor**: Sebastian Spreizer, PhD, University of Trier and Research Center Jülich
18 18  
19 -More information about the tutorial -> [[Abstract>>url:https://wiki.ebrains.eu/bin/view/Collabs/swedish-node-nest-tutorials/About/]]
19 +- [[Abstract>>url:https://wiki.ebrains.eu/bin/view/Collabs/swedish-node-nest-tutorials/About/]]
20 20  
21 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 +=== 1) NEST Desktop ===
33 +
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.
35 +
36 +* [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/nest-desktop>>https://wiki.ebrains.eu/bin/view/Collabs/nest-desktop]]
37 +
38 +=== 2) NEST Simulator ===
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:
41 +
42 +* neuronal dynamics
43 +* large scale networks,
44 +* networks of spatial neurons
45 +* using plasticity
46 +
47 +=== 3) NESTML ===
48 +
49 +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].
50 +
51 +* [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/nestml-tutorials>>https://wiki.ebrains.eu/bin/view/Collabs/nestml-tutorials]]
52 +
22 22  
23 23  )))
24 24