Changes for page Elephant Tutorials

Last modified by denker on 2026/01/22 10:27

From version 49.1
edited by moritzkern
on 2023/03/21 11:30
Change comment: There is no comment for this version
To version 62.1
edited by denker
on 2026/01/22 10:27
Change comment: There is no comment for this version

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Author
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1 -XWiki.moritzkern
1 +XWiki.denker
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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= (% style="color:#f39c12" %)Elephant Tutorial Space[[image:https://elephant.readthedocs.io/en/latest/_static/elephant_logo_sidebar.png||alt="Elephant logo" style="float:right"]](%%) =
5 += (% style="color:#f39c12" %)Elephant Tutorial Space[[image:https://elephant.readthedocs.io/en/latest/_static/elephant_logo_sidebar.png||alt="Elephant logo" data-xwiki-image-style-alignment="end"]](%%) =
6 6  
7 7  (% style="color:#4e5f70" %)Interactive video tutorials on
8 8  neuronal data analysis using Elephant
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18 18  == Upcoming training events ==
19 19  
20 20  {{info}}
21 -**Data Analysis using Elephant (Hybrid)**
22 -**SMHB General Assembly**
23 -Date: Wednesday, April 5, 2023
24 -Location: Forschungszentrum Juelich, Germany
25 -
26 -
27 -
21 +March 17, 2026: Elephant Training as part of the **[[//EduBrains Training Series//>>https://foldercase.com/proext.php?pid=466]]**
22 +\\June 15-July 31, 2026 **Advanced Neural Data Analysis and Neuroinformatics ANDA-NI (Jülich, Germany)**
23 +Website: [[https:~~/~~/andani.info>>https://andani.info]]
28 28  {{/info}}
29 29  
30 30  == A resource for kick-starting work with the Elephant library ==
... ... @@ -58,25 +58,50 @@
58 58  == List of available tutorials ==
59 59  
60 60  
61 -(% style="margin-right:auto" %)
62 -|=(% style="width: 300px;" %)Tutorial|=(% style="width: 267px;" %)Hosts and Authors|=(% style="width: 626px;" %)Content
63 -|(% style="width:300px" %)LFP_analysis|(% style="width:267px" %)Robin Gutzen|(% style="width:626px" %)Apply basic LFP analysis techniques, such as power spectra.
57 +(% style="margin-right:auto; width:1429.5px" %)
58 +|=(% style="width: 300px;" %)Tutorial|=(% style="width: 267px;" %)Hosts and Authors|=(% style="width: 848px;" %)Content
59 +|(% style="width:300px" %)LFP_analysis|(% style="width:267px" %)Robin Gutzen|(% style="width:848px" %)Apply basic LFP analysis techniques, such as power spectra.
64 64  |(% style="width:300px" %)Spike_analysis|(% style="width:267px" %)(((
65 65  Cristiano Köhler
66 66  Alexander Kleinjohann
67 -)))|(% style="width:626px" %)Perform basic statistical analysis of spike trains from rate profiles to pair-wise correlations.
63 +)))|(% style="width:848px" %)Perform basic statistical analysis of spike trains from rate profiles to pair-wise correlations.
68 68  |(% style="width:300px" %)Spatio-temporal_spike_patterns|(% style="width:267px" %)Regimatas Jurkus
69 -Alessandra Stella|(% style="width:626px" %)Highlights two methods for detecting hidden spatio-temporal patterns in spike data.
70 -|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
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.
65 +Alessandra Stella|(% style="width:848px" %)Highlights two methods for detecting hidden spatio-temporal patterns in spike data.
66 +|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:848px" %)Extract low-dimensional rate trajectories from the population spike activity.
67 +|(% style="width:300px" %)Surrogate_techniques|(% style="width:267px" %)Peter Bouss|(% style="width:848px" %)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  |(% style="width:300px" %)NEST-Elephant|(% style="width:267px" %)(((
73 73  Jessica Mitchell
74 -
75 75  Moritz Kern
76 -)))|(% style="width:626px" %)Learn how to simulate a neural network with NEST, analyse the results with Elephant and visualize results with Viziphant.
71 +)))|(% style="width:848px" %)Learn how to simulate a neural network with NEST, analyse data with Elephant and visualize results with Viziphant.
77 77  
73 +== List of external teaching and training resources ==
74 +
75 +* **IBOTS Code** offers a wealth of teaching and training material, including Neo and Elephant training, at: [[https:~~/~~/ibots-bonn.de/teaching/>>https://ibots-bonn.de/teaching/]]
76 +
77 +== ==
78 +
78 78  == List of past events ==
79 79  
81 +
82 +August 25-26, 2025 **INCF-SeRC-EBRAINS-Sweden workshop on FAIR neuroscience 2025 on Managing and Analyzing electrophysiology data using Neo and Elephant (Stockholm, Sweden)**
83 +Program: [[https:~~/~~/www.ebrains.eu/news-and-events/tutorials-and-users-day-2025>>https://www.ebrains.eu/news-and-events/tutorials-and-users-day-2025]]
84 +
85 +
86 +March 12, 2025 **Accelerate Your Neuroscience Research with EBRAINS** **(Heidelberg, Germany)**
87 +Program: [[https:~~/~~/www.ebrains.eu/news-and-events/tutorials-and-users-day-2025>>https://www.ebrains.eu/news-and-events/tutorials-and-users-day-2025]]
88 +
89 +
90 +Sept. 24-Nov. 8, 2024 **Advanced Neural Data Analysis and Neuroinformatics ANDA-NI (Jülich, Germany)**
91 +Website: [[https:~~/~~/andani.info>>https://andani.info]]
92 +
93 +
94 +July 15, 2023 **CNS 2023, 32nd Annual Computational Neuroscience Meeting (Leipzig)**
95 +Program: [[https:~~/~~/www.cnsorg.org/cns-2023-meeting-program>>https://www.cnsorg.org/cns-2023-meeting-program]]
96 +
97 +
98 +April 5, 2023 **Data Analysis using Elephant (Hybrid), SMHB General Assembly (Jülich, Germany)**
99 +
100 +
80 80  (((
81 81  November 10, 2022** Simulate with EBRAINS (Online)**
82 82  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]]