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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	+
10	10	(% style="color:#e74c3c" %)Upcoming Sessions:
11	11
12		-(% style="color:#e74c3c" %)13.09.22 EBRAINS Training on Brain Atlases and Simulation Services (Vienna)
13		-
14		-(% style="color:#e74c3c" %)07.11.22  Simulate with EBRAINS (Online)
	13	+(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for
	14	+neural activity analysis
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		-== (% style="color:#000000" %)EBRAINS Training on Brain Atlases and Simulation Services (Vienna)(%%): ==
	23	+== Intermediate Data Analysis in Python (Hybrid) ==
24	24
	25	+**Using Neo and Elephant for neural activity analysis**
	26	+
25	25	=== Information ===
26	26
27		-Date: Tuesday, September 13, 2022
	29	+Date: Tuesday, December 6, 2022
28	28
29		-Time: 15:30 - 17:30 CET (120 min)
	31	+Time: tba
30	30
31		-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]]
	33	+Registration & Agenda: tba
32	32
33		-=== Prerequisites ===
34		-
35		-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		-
37		-=== Notebooks ===
38		-
39		-Elephant Tutorials/Events/ANA_2022/notebooks
40		-
41	41
42	42	{{/info}}
43	43
44		-{{info}}
45		-== Simulate with EBRAINS (Online) ==
46		-
47		-=== Information ===
48		-
49		-Date: Tuesday, November 07, 2022
50		-
51		-Time: 16:30‑18:30 CET (120 min)
52		-
53		-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]]
54		-
55		-=== Prerequisites ===
56		-
57		-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).
58		-{{/info}}
59		-
60	60	== A resource for kick-starting work with the Elephant library ==
61	61
62	62	The Python library [[Electrophysiology Analysis Toolkit (Elephant)>>https://python-elephant.org||rel="noopener noreferrer" target="_blank"]] provides tools for the analysis of neuronal activity data, such as spike trains, local field potentials and intracellular data. In addition to providing a platform for sharing analysis codes from different laboratories, Elephant provides a consistent and homogeneous framework for data analysis, built on a modular foundation. The underlying data model is the Neo library, a framework which easily captures a wide range of neuronal data types and methods, including dozens of file formats and network simulation tools. A common data description, as provided by the Neo library, is essential for developing interoperable analysis workflows.
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100	100	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
101	101	|(% 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.
102	102
103		-
	81	+== List of past events ==
	82	+
	83	+
	84	+* (((
	85	+November 10, 2022** Simulate with EBRAINS (Online)**
	86	+Agenda: https:~/~/flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242
104	104	)))
	88	+)))
105	105
106	106
	91	+
107	107	(% class="col-xs-12 col-sm-4" %)
108	108	(((
109	109	{{box title="**Contents**"}}