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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 Sessions:
10	10
11		-(% style="color:#e74c3c" %)Upcoming training event:
12		-
13		-(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for neural activity analysis
	12	+(% style="color:#e74c3c" %)10.11.22  Simulate with EBRAINS (Online)
14	14	)))
15	15	)))
16	16
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18	18	(((
19	19	(% class="col-xs-12 col-sm-8" %)
20	20	(((
21		-== Upcoming training events ==
22		-
23	23	{{info}}
24		-**Intermediate Data Analysis in Python (Hybrid)**
25		-**Session: Using Neo and Elephant for neural activity analysis**
26		-Date: Tuesday, December 6, 2022
27		-Time: tba
28		-Registration & Agenda: tba
	21	+== Simulate with EBRAINS (Online) ==
29	29
30		-
	23	+=== Information ===
	24	+
	25	+Date: Thursday, November 10, 2022
	26	+
	27	+Time: 16:30‑18:30 CET (120 min)
	28	+
	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]]
	30	+
	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).
31	31	{{/info}}
32	32
33	33	== A resource for kick-starting work with the Elephant library ==
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73	73	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
74	74	|(% 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.
75	75
76		-== List of past events ==
77		-
78		-
79		-* (((
80		-November 10, 2022** Simulate with EBRAINS (Online)**
81		-Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
	79	+
82	82	)))
83		-)))
84	84
	82	+
85	85	(% class="col-xs-12 col-sm-4" %)
86	86	(((
87	87	{{box title="**Contents**"}}