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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:
11	11
12		-(% style="color:#e74c3c" %)10.11.22  Simulate with EBRAINS (Online)
	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
13	13	)))
14	14	)))
15	15
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17	17	(((
18	18	(% class="col-xs-12 col-sm-8" %)
19	19	(((
	21	+== Upcoming training events ==
	22	+
20	20	{{info}}
21		-== Simulate with EBRAINS (Online) ==
	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
22	22
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).
	30	+
34	34	{{/info}}
35	35
36	36	== A resource for kick-starting work with the Elephant library ==
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76	76	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
77	77	|(% 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.
78	78
79		-
80		-)))
	76	+== List of past events ==
81	81
82	82
	79	+* (((
	80	+November 10, 2022** Simulate with EBRAINS (Online)**
	81	+Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
	82	+)))
	83	+)))
	84	+
83	83	(% class="col-xs-12 col-sm-4" %)
84	84	(((
85	85	{{box title="**Contents**"}}