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Author

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1		-XWiki.denker
	1	+XWiki.moritzkern

Content

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7	7	(% style="color:#4e5f70" %)Interactive video tutorials on
8	8	neuronal data analysis using Elephant
9	9
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
	10	+(% style="color:#e74c3c" %)Upcoming: EBRAINS Training on Brain Atlases and Simulation Services (Vienna)
15	15	)))
16	16	)))
17	17
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20	20	(% class="col-xs-12 col-sm-8" %)
21	21	(((
22	22	{{info}}
23		-== Intermediate Data Analysis in Python (Hybrid) ==
	19	+=== EBRAINS training event: How to attend? ===
24	24
25		-**Using Neo and Elephant for neural activity analysis**
	21	+More information will follow soon.
26	26
27		-=== Information ===
	23	+Date: Tuesday, September 13, 2022
28	28
29		-Date: Tuesday, December 6, 2022
	25	+Time: 16:30 - 18:30 CET (Session 3)
30	30
31		-Time: tba
	27	+Registration & Agenda: [[https:~~/~~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=245>>https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=245]]
32	32
33		-Registration & Agenda: tba
	29	+=== Prerequisites ===
34	34
35		-
	31	+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).
36	36	{{/info}}
37	37
38	38	== A resource for kick-starting work with the Elephant library ==
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78	78	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
79	79	|(% 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.
80	80
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
	77	+
88	88	)))
89		-)))
90	90
91	91
92		-
93	93	(% class="col-xs-12 col-sm-4" %)
94	94	(((
95	95	{{box title="**Contents**"}}