Changes for page Elephant Tutorials

Last modified by denker on 2026/01/22 10:27
From version 62.1
edited by denker
on 2026/01/22 10:27
Change comment: There is no comment for this version
To version 54.1
edited by moritzkern
on 2023/08/25 13:34
Change comment: There is no comment for this version

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1 -XWiki.denker
1 +XWiki.moritzkern
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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" data-xwiki-image-style-alignment="end"]](%%) =
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"]](%%) =
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 -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]]
21 +
24 24  {{/info}}
25 25  
26 26  == A resource for kick-starting work with the Elephant library ==
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54 54  == List of available tutorials ==
55 55  
56 56  
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.
55 +(% style="margin-right:auto" %)
56 +|=(% style="width: 300px;" %)Tutorial|=(% style="width: 267px;" %)Hosts and Authors|=(% style="width: 626px;" %)Content
57 +|(% style="width:300px" %)LFP_analysis|(% style="width:267px" %)Robin Gutzen|(% style="width:626px" %)Apply basic LFP analysis techniques, such as power spectra.
60 60  |(% style="width:300px" %)Spike_analysis|(% style="width:267px" %)(((
61 61  Cristiano Köhler
62 62  Alexander Kleinjohann
63 -)))|(% style="width:848px" %)Perform basic statistical analysis of spike trains from rate profiles to pair-wise correlations.
61 +)))|(% style="width:626px" %)Perform basic statistical analysis of spike trains from rate profiles to pair-wise correlations.
64 64  |(% style="width:300px" %)Spatio-temporal_spike_patterns|(% style="width:267px" %)Regimatas Jurkus
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.
63 +Alessandra Stella|(% style="width:626px" %)Highlights two methods for detecting hidden spatio-temporal patterns in spike data.
64 +|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
65 +|(% 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.
68 68  |(% style="width:300px" %)NEST-Elephant|(% style="width:267px" %)(((
69 69  Jessica Mitchell
68 +
70 70  Moritz Kern
71 -)))|(% style="width:848px" %)Learn how to simulate a neural network with NEST, analyse data with Elephant and visualize results with Viziphant.
70 +)))|(% style="width:626px" %)Learn how to simulate a neural network with NEST, analyse data with Elephant and visualize results with Viziphant.
72 72  
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 -
79 79  == List of past events ==
80 80  
81 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)**
75 +July 15, 2023 **CNS 2023, 32nd Annual Computational Neuroscience Meeting** (Leipzig)
95 95  Program: [[https:~~/~~/www.cnsorg.org/cns-2023-meeting-program>>https://www.cnsorg.org/cns-2023-meeting-program]]
96 96  
97 97  
98 -April 5, 2023 **Data Analysis using Elephant (Hybrid), SMHB General Assembly (Jülich, Germany)**
79 +April 5, 2023 **Data Analysis using Elephant (Hybrid), SMHB General Assembly**
80 +Location: Forschungszentrum Juelich, Germany
99 99  
100 100  
101 101  (((