Changes for page Elephant Tutorials

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

From version 47.1
edited by denker
on 2022/11/11 12:42
Change comment: There is no comment for this version
To version 31.1
edited by denker
on 2022/06/29 11:31
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -7,10 +7,7 @@
7 7  (% style="color:#4e5f70" %)Interactive video tutorials on
8 8  neuronal data analysis using Elephant
9 9  
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
10 +(% style="color:#e74c3c" %)**Upcoming: CNS 2022**
14 14  )))
15 15  )))
16 16  
... ... @@ -18,18 +18,6 @@
18 18  (((
19 19  (% class="col-xs-12 col-sm-8" %)
20 20  (((
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 -
33 33  == A resource for kick-starting work with the Elephant library ==
34 34  
35 35  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.
... ... @@ -73,26 +73,10 @@
73 73  |(% style="width:300px" %)GPFA|(% style="width:267px" %)Simon Essink|(% style="width:626px" %)Extract low-dimensional rate trajectories from the population spike activity.
74 74  |(% 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.
75 75  
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 -
92 92  
93 93  )))
94 -)))
95 95  
64 +
96 96  (% class="col-xs-12 col-sm-4" %)
97 97  (((
98 98  {{box title="**Contents**"}}