Attention: The EBRAINS Drive will be down Friday 21st November, from 18:00 CEST for up to 2 days for maintenance. Please be aware that this will also affect the Lab, as notebooks stored in the Drive will not be available.


Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 30.1
edited by denker
on 2022/05/23 22:24
Change comment: Update collab owner property to denker
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  ~-~-**
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.