Wiki source code of BrainScaleS Operating System

Version 38.1 by abonard on 2025/05/23 13:15
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3 * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
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5 === **Beginner** ===
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7 === [[HBP Focus Area - Neuromorphic computing>>https://www.youtube.com/watch?v=VgMK5WRRTH0||rel=" noopener noreferrer" target="_blank"]] ===
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9 **Level**: beginner(%%) **Type**: video tutorial
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11 After attending this presentation you will have an overview of the key characteristics and advantages of neuromorphic computing.
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13 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/VgMK5WRRTH0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 34.1 15 === [[Introduction to the BrainScaleS Tutorial>>https://www.youtube.com/watch?v=V2DAzIY5iOs||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 34.1 17 **Level**: beginner(%%) **Type**: video tutorial
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19 As an introduction to this tutorial we will give you a quick introduction to the BrainScaleS-2 hardware and its other features. We will further talk about compute clusters and the BrainScaleS system access via "slurm". Before we go into out first experiments we will go over block diagrams and lowlevel configuration s and give a brief introduction to the Pine language.
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21 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/V2DAzIY5iOs" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 35.1 23 === [[Hands on tutorial BrainScaleS 2 Structured Neurons>>https://www.youtube.com/watch?v=907zRDofz7Y&list=PLJ506hQ4g3TiJnL5_UFtRgDFcEV9QNdd1&index=30||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 35.1 25 **Level**: beginner(%%) **Type**: video tutorial
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27 Having completed this tutorial you will know how to use BrainScaleS 2 for connectingt neuron circuits to form multi-compartmental neuron models.
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29 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/907zRDofz7Y&list=PLJ506hQ4g3TiJnL5_UFtRgDFcEV9QNdd1&index=30" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 36.1 31 === [[An Introduction into Accelerated Analog Neuromorphic Computing with BrainScaleS>>https://www.youtube.com/watch?v=jCN6zYB-DHQ||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 36.1 33 **Level**: beginner(%%) **Type**: video tutorial
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35 Brain-inspired Computing - An Introduction into Accelerated Analog Neuromorphic Computing with BrainScaleS.
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37 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/jCN6zYB-DHQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 37.1 39 === [[Demonstrating BrainScaleS 2 Inter-Chip Pulse Communication using Extoll>>https://www.youtube.com/watch?v=Nfgr6XV8ORA&list=PLJ506hQ4g3TiJnL5_UFtRgDFcEV9QNdd1&index=8||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 37.1 41 **Level**: beginner(%%) **Type**: video tutorial
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43 In this tutorial you will get a brief overview on how to use the EXTOLL network in BrainScaleS and later get a live demonstration of this setup.
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45 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/Nfgr6XV8ORA&list=PLJ506hQ4g3TiJnL5_UFtRgDFcEV9QNdd1&index=8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 38.1 47 === [[Neuromorphic Computing in EBRAINS (brief introduction to SpiNNaker and BrainScaleS)>>https://www.youtube.com/watch?v=zW1UfIccMtY||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 38.1 49 **Level**: beginner(%%) **Type**: video presentation
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51 Steve Furber giving a brief overview of the neuromorphic compute systems at Heidelberg. Touching upon what is neuromorphic computing and how we can use it.
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53 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/zW1UfIccMtY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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