Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 33.3
edited by moritzkern
on 2022/07/06 09:34
Change comment: There is no comment for this version
To version 42.1
edited by denker
on 2022/11/11 12:18
Change comment: There is no comment for this version

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Author
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1 -XWiki.moritzkern
1 +XWiki.denker
Content
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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" %)Upcoming: EBRAINS training event on Atlases and Simulation (Vienna)
10 +
11 +(% style="color:#e74c3c" %)Upcoming Sessions:
12 +
13 +(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for
14 +neural activity analysis
11 11  )))
12 12  )))
13 13  
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16 16  (% class="col-xs-12 col-sm-8" %)
17 17  (((
18 18  {{info}}
19 -=== EBRAINS training event: How to attend? ===
23 +== Intermediate Data Analysis in Python (Hybrid) ==
20 20  
21 -More information will follow soon.
25 +**Using Neo and Elephant for neural activity analysis**
22 22  
23 -Date: Tuesday, September 13, 2022
27 +=== Information ===
24 24  
25 -Time: ...
29 +Date: Tuesday, December 6, 2022
26 26  
27 -=== Prerequisites ===
31 +Time: tba
28 28  
29 -There are no prerequisities for attending the session. But an EBRAINS account is required to get access to some of the tools and services that will be demonstrated. If you wish to utilize the 'practice' time to explore these tools by yourself, please create your account at [[https:~~/~~/ebrains.eu/register>>url:https://ebrains.eu/register]] (free of charge).
33 +Registration & Agenda: tba
34 +
35 +
30 30  {{/info}}
31 31  
32 32  == A resource for kick-starting work with the Elephant library ==
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72 72  |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
73 73  |(% style="width:300px" %)Surrogate_techniques|(% style="width:267px" %)Peter Bouss|(% style="width:626px" %)Learn how to use different surrogate methods for spike trains to assist in formulating statistical null hypotheses in the presence of non-stationarity.
74 74  
75 -
81 +== List of past events ==
82 +
83 +== ==
84 +
85 +* (((
86 +November 10, 2022** Simulate with EBRAINS (Online)**
87 +Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
76 76  )))
89 +)))
77 77  
78 78  
92 +
79 79  (% class="col-xs-12 col-sm-4" %)
80 80  (((
81 81  {{box title="**Contents**"}}