Changes for page Elephant Tutorials

Last modified by denker on 2025/04/09 07:02

From version 31.1
edited by denker
on 2022/06/29 11:31
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To version 47.1
edited by denker
on 2022/11/11 12:42
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 -(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
10 +
11 +(% style="color:#e74c3c" %)Upcoming training event:
12 +
13 +(% style="color:#e74c3c" %)December 6, 2022 Intermediate data analysis in Python: Using Neo and Elephant for neural activity analysis
11 11  )))
12 12  )))
13 13  
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15 15  (((
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17 17  (((
21 +== Upcoming training events ==
22 +
23 +{{info}}
24 +**Intermediate Data Analysis in Python (Hybrid)**
25 +**Session: Using Neo and Elephant for neural activity analysis**
26 +Date: Tuesday, December 6, 2022
27 +Time: tba
28 +Registration & Agenda: tba
29 +
30 +
31 +{{/info}}
32 +
18 18  == A resource for kick-starting work with the Elephant library ==
19 19  
20 20  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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58 58  |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
59 59  |(% 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.
60 60  
76 +== List of past events ==
77 +
78 +(((
79 +
80 +November 10, 2022** Simulate with EBRAINS (Online)**
81 +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]]
82 +
83 +
84 +July 1, 2022 **Satellite tutorial at the annual CNS meeting (Online)**
85 +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]]
86 +
87 +
88 +June 13-15, 2022 **BASSES workshop (Rome, Italy)**
89 +Program: [[https:~~/~~/www.humanbrainproject.eu/en/education/ebrains- workshops/basses/>>https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/]]
90 +
91 +
61 61  
62 62  )))
94 +)))
63 63  
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66 66  (((
67 67  {{box title="**Contents**"}}