Last modified by abonard on 2025/04/10 15:12
From version 9.1
edited by abonard
on 2025/04/10 15:03
Change comment: There is no comment for this version
To version 26.1
edited by abonard
on 2025/04/10 15:12
Change comment: There is no comment for this version

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77 77  {{html}}
78 78  <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/rhyHcAIdkz8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
79 79  {{/html}}
80 +=== [[BrainScaleS – Plasticity and structured neurons>>https://flagship.kip.uni-heidelberg.de/jss/HBPm?mI=242&publicVideoID=9248||rel=" noopener noreferrer" target="_blank"]] ===
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82 +**Level**: intermediate(%%) **Type**: video tutorial
83 +
84 +In this tutorial we will look into BrainScaleS-2 embedded general-purpose processors, called PPUs (Plasticity Processing Units). We want to show how the PPUs can be used to rate-code an image in the activity of neurons. Later on, we will define the network topology using the pyNN interface and then define the plasticity rule in C++.
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