Last modified by spreizer on 2025/08/26 09:19
From version 23.1
edited by spreizer
on 2025/07/30 11:45
Change comment: There is no comment for this version
To version 25.1
edited by spreizer
on 2025/07/30 11:46
Change comment: There is no comment for this version

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32 32  
33 33  The first part of the tutorial, we look at NEST Desktop.  As a goal we will create and analyze a balanced two-population network.
34 34  
35 -* [[https:~~/~~/nest-desktop.apps.ebrains.eu/#/>>https://nest-desktop.apps.ebrains.eu/#/]]
35 +* [[https:~~/~~/nest-desktop.apps.ebrains.eu/>>https://nest-desktop.apps.ebrains.eu/]]
36 36  * [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/nest-desktop>>https://wiki.ebrains.eu/bin/view/Collabs/nest-desktop]]
37 37  
38 38  === 2) NEST Simulator ===
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43 43  
44 44  === 3) NESTML ===
45 45  
46 -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 +The last part is using NESTML to create custom neuron and synapse models for NEST Simulator. This will be done by formulating the learning model in the NESTML language syntax, and using the associated toolchain to generate code for NEST Simulator.
47 47  
48 48  * [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/nestml-tutorials>>https://wiki.ebrains.eu/bin/view/Collabs/nestml-tutorials]]
49 49