Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02
From version 44.1
edited by denker
on 2022/11/11 12:20
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To version 39.2
edited by moritzkern
on 2022/09/12 20:44
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1 -XWiki.denker
1 +XWiki.moritzkern
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7 7  (% style="color:#4e5f70" %)Interactive video tutorials on
8 8  neuronal data analysis using Elephant
9 9  
10 -
11 11  (% style="color:#e74c3c" %)Upcoming Sessions:
12 12  
13 -(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for
14 -neural activity analysis
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)
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 -(% class="wikigeneratedid wikigeneratedheader" id="HIntermediateDataAnalysisinPython28Hybrid29" %)
24 -**Intermediate Data Analysis in Python (Hybrid)**
23 +== (% style="color:#000000" %)EBRAINS Training on Brain Atlases and Simulation Services (Vienna)(%%): ==
25 25  
26 -**Session: Using Neo and Elephant for neural activity analysis**
25 +=== Information ===
27 27  
28 -Date: Tuesday, December 6, 2022
27 +Date: Tuesday, September 13, 2022
29 29  
30 -Time: tba
29 +Time: 15:30 - 17:30 CET (120 min)
31 31  
32 -Registration & Agenda: tba
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 33  
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 +
34 34  
35 35  {{/info}}
36 36  
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 +
37 37  == A resource for kick-starting work with the Elephant library ==
38 38  
39 39  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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77 77  |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
78 78  |(% 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.
79 79  
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
103 +
86 86  )))
87 -)))
88 88  
89 89  
90 -
91 91  (% class="col-xs-12 col-sm-4" %)
92 92  (((
93 93  {{box title="**Contents**"}}