Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 47.2
edited by moritzkern
on 2023/01/12 14:51
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To version 31.2
edited by moritzkern
on 2022/06/29 13:48
Change comment: There is no comment for this version

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7 7  (% style="color:#4e5f70" %)Interactive video tutorials on
8 8  neuronal data analysis using Elephant
9 9  
10 -
10 +(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
11 11  )))
12 12  )))
13 13  
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15 15  (((
16 16  (% class="col-xs-12 col-sm-8" %)
17 17  (((
18 -== Upcoming training events ==
18 +== CNS 2022 ==
19 19  
20 -{{info}}
21 -**Intermediate Data Analysis in Python (Hybrid)**
22 -**Session: Using Neo and Elephant for neural activity analysis**
23 -Date: Tuesday, December 6, 2022
24 -Time: tba
25 -Registration & Agenda: tba
20 +(% class="wikigeneratedid" %)
21 +=== How to attend? ===
26 26  
27 -
28 -{{/info}}
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]].
29 29  
25 +Date: Tuesday Juli 1, 2022
26 +
27 +Time: 9:00 to 12:00 CEST
28 +
29 +Location: Online (via zoom)
30 +
31 +Registration: **Free (but required)!** You can register [[here>>url:https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-registration-1654593600]]!
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 +
30 30  == A resource for kick-starting work with the Elephant library ==
31 31  
32 32  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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70 70  |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
71 71  |(% 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.
72 72  
73 -== List of past events ==
74 -
75 -(((
76 -November 10, 2022** Simulate with EBRAINS (Online)**
77 -Agenda: [[https:~~/~~/flagship.kip.uni-heidelberg.d/jss/HBPm?m=showAgenda&meetingID=242>>https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242]]
78 -
79 -
80 -July 1, 2022 **Satellite tutorial at the annual CNS meeting (Online)**
81 -Program: [[https:~~/~~/ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-cns-2022.html>>https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-cns-2022.html]]
82 -
83 -
84 -June 13-15, 2022 **BASSES workshop (Rome, Italy)**
85 -Program: [[https:~~/~~/www.humanbrainproject.eu/en/education/ebrains- workshops/basses/>>https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/]]
86 -
87 -
88 88  
89 89  )))
90 -)))
91 91  
86 +
92 92  (% class="col-xs-12 col-sm-4" %)
93 93  (((
94 94  {{box title="**Contents**"}}