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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		-(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
	10	+(% style="color:#e74c3c" %)Upcoming Sessions:
	11	+
	12	+(% style="color:#e74c3c" %)6.12.22 Intermediate data analysis in Python: Using Neo and Elephant for
	13	+neural activity analysis
11	11	)))
12	12	)))
13	13
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15	15	(((
16	16	(% class="col-xs-12 col-sm-8" %)
17	17	(((
18		-== CNS 2022 ==
	21	+{{info}}
	22	+== Intermediate Data Analysis in Python (Hybrid) ==
19	19
20		-(% class="wikigeneratedid" %)
21		-=== How to attend? ===
	24	+**Using Neo and Elephant for neural activity analysis**
22	22
23		-This session is being conducted as part of the [[online satellite tutorials of CNS*2022>>url:https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-cns-2022.html]].
	26	+=== Information ===
24	24
25		-Date: Tuesday Juli 1, 2022
	28	+Date: Tuesday, December 6, 2022
26	26
27		-Time: 9:00 to 12:00 CEST
	30	+Time: tba
28	28
29		-Location: Online (via zoom)
	32	+Registration & Agenda: tba
30	30
31		-Registration: **Free (but required)!** You can register [[here>>url:https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-registration-1654593600]]!
	34	+
	35	+{{/info}}
32	32
33		-Please note that to prevent spamming/zoom bombing during the session, __the link to the Zoom meeting will be sent out only to registrants.__
34		-
35		-=== Prerequisites ===
36		-
37		-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).
38		-
39		-
40	40	== A resource for kick-starting work with the Elephant library ==
41	41
42	42	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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80	80	|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
81	81	|(% 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.
82	82
83		-
	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
84	84	)))
	87	+)))
85	85
86	86
	90	+
87	87	(% class="col-xs-12 col-sm-4" %)
88	88	(((
89	89	{{box title="**Contents**"}}