Wiki source code of Teaching

Version 9.1 by kindler on 2026/01/26 13:19

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1 == BrainScaleS as tool-for-teaching ==
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3 Both neuromorphic compte systems, SpiNNaker and BrainScaleS, can be used as "tools for teaching" and both systems are accessible also with guest accounts.
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5 === BrainScaleS for teaching ===
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7 * Tutorial notebooks are publicly accessible [[here on github>>https://github.com/electronicvisions/brainscales2-demos]]
8 * With a full EBRAINS account (get an account here) or an EBRAINS guest account the systems can be used for running tutorials notebooks and own experiments:
9 ** To access a non-persistent, fresh clone of the notebooks [[use this URL>>https://lab.jsc.ebrains.eu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Felectronicvisions%2Fbrainscales2-demos.git&urlpath=lab%2Ftree%2Fbrainscales2-demos.git%2Ftutorial.ipynb&branch=jupyter-notebooks-experimental]].  This starts a Jupyter notebook session on the EBRAINS research infrastructure, clones the [[current tutorials from github>>https://github.com/electronicvisions/brainscales2-demos]] and opens the index page. The notebooks linked there make use of the real BrainScaleS neuromorphic hardware systems running at the EINC in Heidelberg, Germany. 
10 (non-persistent = changes to the notebooks can be made, but they are only stored while the session is running and are gone, when the sessions ends (session timeout is several hours)
11 ** It is of course also possible to have a place to make persistent changes to the notebooks by creating an own "Collab" in the EBRAINS wiki and cloning the notebooks into that persistent storage. See [["Getting the example notebooks into an own Collab">>doc:Collabs.neuromorphic.Getting access.QuickTry.WebHome||anchor="HGettingtheexamplenotebooksintoanownCollab"]] on the quick try page.
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13 === ===
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15 === Lu.i analog neurons for teaching ===
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17 Please see the [[Analog Electronic Neuron Demonstrator lu.i page>>https://wiki.ebrains.eu/bin/view/Collabs/neuromorphic/BrainScaleS/Neuron%20demonstrator/]] for details about the analog hardware neurons.