Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 23.1
edited by denker
on 2021/02/03 11:13
Change comment: There is no comment for this version
To version 31.1
edited by denker
on 2022/06/29 11:31
Change comment: There is no comment for this version

Summary

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7 7  (% style="color:#4e5f70" %)Interactive video tutorials on
8 8  neuronal data analysis using Elephant
9 9  
10 -(% style="color:#e74c3c" %)**~-~- in beta testing for the HBP Student Conference workshop ~-~-**
10 +(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
11 11  )))
12 12  )))
13 13  
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21 21  
22 22  In this collaborative space, we provide hands on video tutorials based on Jupyter notebooks that showcase various types of data analysis, from simple to advanced. Most notebooks are based on a common dataset published at [[https:~~/~~/gin.g-node.org/INT/multielectrode_grasp>>https://gin.g-node.org/INT/multielectrode_grasp]] (for details cf. Brochier et al (2018) Scientific Data 5, 180055. [[https:~~/~~/doi.org/10.1038/sdata.2018.55>>url:https://doi.org/10.1038/sdata.2018.55]]). All video tutorials are approximately 30 minutes in length.
23 23  
24 +In addition, tutorials presented at various workshops and schools are collected in this collab.
24 24  
26 +
25 25  == Access to the tutorials ==
26 26  
27 27  To access the tutorials, check out the drive space of this collab. The Jupyter notebooks are available in the (% style="color:#f39c12" %)notebooks(%%) folder, and links to the (% style="color:#f39c12" %)videos(%%) are embedded within each notebook. Notebooks can either be run directly on the EBRAINS Collaboratory's JupyterLab service (currently limited to HBP-affiliated members), or downloaded and run locally. For local execution, please use the provided (% style="color:#f39c12" %)requirements.txt(%%) file to generate an appropriate Python environment.
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37 37  === Local execution ===
38 38  
39 39  * Open the EBRAINS drive by selecting the corresponding (% style="color:#f39c12" %)Drive(%%) menu entry on the left.
40 -* Download a particular notebook and the (% style="color:#f39c12" %)requirements.txt(%%) to your computer.
42 +* Download a particular notebook, the datasets, and the (% style="color:#f39c12" %)requirements.txt(%%) to your computer.
41 41  * Create a Python environment based on the (% style="color:#f39c12" %)requirements.txt(%%) file. The details will depend on your particular Python setup.
44 +* Likely, path names to data files must be adjusted accordingly.
42 42  
43 43  == List of available tutorials ==
44 44  
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