Changes for page Elephant Tutorials

Last modified by denker on 2026/01/22 10:27
From version 63.1
edited by denker
on 2026/01/22 10:27
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To version 55.1
edited by moritzkern
on 2025/02/18 14:22
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1 -XWiki.denker
1 +XWiki.moritzkern
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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 +March 12, 2025 **Accelerate Your Neuroscience Research with EBRAINS** **(Heidelberg, Germany)**
22 +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]]
24 24  {{/info}}
25 25  
26 26  == A resource for kick-starting work with the Elephant library ==
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39 39  === Execution on the EBRAINS Collaboratory ===
40 40  
41 41  * Open the EBRAINS lab by selecting the corresponding (% style="color:#f39c12" %)Lab(%%) menu entry on the left.
41 +//Please note: JupyterLab functionality is currently in beta and not yet available to non-HBP-affiliated Collaboratory users. Please check back in the near future.//
42 42  * In the lab, navigate to a particular notebook and open and execute it.
43 43  ** Please note that in some instances, you may need to restart the kernel for the notebooks to run (e.g., when new packages are installed by the notebook, or in case of low memory).
44 44  ** To save changes you may want to make to a notebook, please create a copy of the notebook in a collab of your own (i.e., a collab where you have write permissions).
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53 53  == List of available tutorials ==
54 54  
55 55  
56 -(% style="margin-right:auto; width:1429.5px" %)
57 -|=(% style="width: 300px;" %)Tutorial|=(% style="width: 267px;" %)Hosts and Authors|=(% style="width: 848px;" %)Content
58 -|(% style="width:300px" %)LFP_analysis|(% style="width:267px" %)Robin Gutzen|(% style="width:848px" %)Apply basic LFP analysis techniques, such as power spectra.
56 +(% style="margin-right:auto" %)
57 +|=(% style="width: 300px;" %)Tutorial|=(% style="width: 267px;" %)Hosts and Authors|=(% style="width: 626px;" %)Content
58 +|(% style="width:300px" %)LFP_analysis|(% style="width:267px" %)Robin Gutzen|(% style="width:626px" %)Apply basic LFP analysis techniques, such as power spectra.
59 59  |(% style="width:300px" %)Spike_analysis|(% style="width:267px" %)(((
60 60  Cristiano Köhler
61 61  Alexander Kleinjohann
62 -)))|(% style="width:848px" %)Perform basic statistical analysis of spike trains from rate profiles to pair-wise correlations.
62 +)))|(% style="width:626px" %)Perform basic statistical analysis of spike trains from rate profiles to pair-wise correlations.
63 63  |(% style="width:300px" %)Spatio-temporal_spike_patterns|(% style="width:267px" %)Regimatas Jurkus
64 -Alessandra Stella|(% style="width:848px" %)Highlights two methods for detecting hidden spatio-temporal patterns in spike data.
65 -|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:848px" %)Extract low-dimensional rate trajectories from the population spike activity.
66 -|(% 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.
64 +Alessandra Stella|(% style="width:626px" %)Highlights two methods for detecting hidden spatio-temporal patterns in spike data.
65 +|(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
66 +|(% 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.
67 67  |(% style="width:300px" %)NEST-Elephant|(% style="width:267px" %)(((
68 68  Jessica Mitchell
69 +
69 69  Moritz Kern
70 -)))|(% style="width:848px" %)Learn how to simulate a neural network with NEST, analyse data with Elephant and visualize results with Viziphant.
71 +)))|(% style="width:626px" %)Learn how to simulate a neural network with NEST, analyse data with Elephant and visualize results with Viziphant.
71 71  
72 -== List of external teaching and training resources ==
73 -
74 -* **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/]]
75 -
76 -== ==
77 -
78 78  == List of past events ==
79 79  
80 80  
81 -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)**
82 -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]]
83 -
84 -
85 -March 12, 2025 **Accelerate Your Neuroscience Research with EBRAINS** **(Heidelberg, Germany)**
86 -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]]
87 -
88 -
89 -Sept. 24-Nov. 8, 2024 **Advanced Neural Data Analysis and Neuroinformatics ANDA-NI (Jülich, Germany)**
90 -Website: [[https:~~/~~/andani.info>>https://andani.info]]
91 -
92 -
93 -July 15, 2023 **CNS 2023, 32nd Annual Computational Neuroscience Meeting (Leipzig)**
76 +July 15, 2023 **CNS 2023, 32nd Annual Computational Neuroscience Meeting** (Leipzig)
94 94  Program: [[https:~~/~~/www.cnsorg.org/cns-2023-meeting-program>>https://www.cnsorg.org/cns-2023-meeting-program]]
95 95  
96 96  
97 -April 5, 2023 **Data Analysis using Elephant (Hybrid), SMHB General Assembly (Jülich, Germany)**
80 +April 5, 2023 **Data Analysis using Elephant (Hybrid), SMHB General Assembly**
81 +Location: Forschungszentrum Juelich, Germany
98 98  
99 99  
100 100  (((