Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 41.1
edited by denker
on 2022/11/11 12:18
Change comment: There is no comment for this version
To version 39.4
edited by moritzkern
on 2022/11/02 16:27
Change comment: There is no comment for this version

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1 -XWiki.denker
1 +XWiki.moritzkern
Content
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9 9  
10 10  (% style="color:#e74c3c" %)Upcoming Sessions:
11 11  
12 -(% style="color:#e74c3c" %)6.12.22 Intermediate data analysis in Python: Using Neo and Elephant for
13 -neural activity analysis
12 +(% style="color:#e74c3c" %)10.11.22  Simulate with EBRAINS (Online)
14 14  )))
15 15  )))
16 16  
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19 19  (% class="col-xs-12 col-sm-8" %)
20 20  (((
21 21  {{info}}
22 -== Intermediate Data Analysis in Python (Hybrid) ==
21 +== Simulate with EBRAINS (Online) ==
23 23  
24 -**Using Neo and Elephant for neural activity analysis**
25 -
26 26  === Information ===
27 27  
28 -Date: Tuesday, December 6, 2022
25 +Date: Tuesday, November 10, 2022
29 29  
30 -Time: tba
27 +Time: 16:30‑18:30 CET (120 min)
31 31  
32 -Registration & Agenda: tba
29 +Registration & Agenda: [[https:~~/~~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242>>https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242]]
33 33  
34 -
31 +=== Prerequisites ===
32 +
33 +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).
35 35  {{/info}}
36 36  
37 37  == A resource for kick-starting work with the Elephant library ==
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77 77  |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
78 78  |(% 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.
79 79  
80 -== List of past events
81 - ==
82 -
83 -* (((
84 -November 10, 2022** Simulate with EBRAINS (Online)**
85 -Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
79 +
86 86  )))
87 -)))
88 88  
89 89  
90 -
91 91  (% class="col-xs-12 col-sm-4" %)
92 92  (((
93 93  {{box title="**Contents**"}}