Last modified by jfioril1 on 2022/05/23 22:36
From version 40.1
edited by denker
on 2020/04/06 12:21
Change comment: There is no comment for this version
To version 47.1
edited by jfioril1
on 2020/04/15 14:22
Change comment: There is no comment for this version

Summary

Details

Page properties
Author
... ... @@ -1,1 +1,1 @@
1 -XWiki.denker
1 +XWiki.jfioril1
Content
... ... @@ -12,7 +12,7 @@
12 12  
13 13  Implementation: Regimantas Jurkus^^1^^, Julien Fiorilli^^2^^, Pietro Marchesi^^2^^, Thijs Ruikes^^2^^
14 14  
15 -Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Cyril Pennartz^^2^^
15 +Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Cyriel Pennartz^^2^^
16 16  
17 17  ,,1) Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany,,
18 18  
... ... @@ -27,9 +27,9 @@
27 27  == Demonstration of the analysis of electrophysiological data ==
28 28  
29 29  A notebook that demonstrates how to apply the pipeline to a complex dataset.
30 -\\The aim of this note-book is twofold. Firstly,we aim to demonstrate the advantage of a common and shared data representation format for a challenging and complex electrophysiology dataset. The second aim is to showcase the first part of a pipeline for analysing for population-level data, including parallel spiking activity, paired with and behavioural and cognitive state variables.
30 +\\The aim of this note-book is twofold. Firstly, we aim to demonstrate the advantage of a common and shared data representation format for a challenging and complex electrophysiology dataset. The second aim is to showcase the first part of a pipeline for analysing for population-level data, including parallel spiking activity, paired with and behavioural and cognitive state variables.
31 31  
32 -This Collab is aimed at experimental and computational neuroscientists interested in the usage of the Neo and Elephant tools in performing data analysis of spiking data.
32 +This Collab is aimed at experimental and computational neuroscientists interested in the usage of the Neo and Elephant tools in performing data analysis of spiking data.
33 33  
34 34  == Executing the analysis notebook ==
35 35  
... ... @@ -45,18 +45,20 @@
45 45  In the Jupyter Hub, navigate to `drive/My Libraries/My Library/Demonstrator_Use_Case_SGA2-SP3-003.ipynb`, and run the notebook.
46 46  
47 47  
48 -== License (to discuss) ==
48 +== License ==
49 49  
50 -All text and example data in this collab is licensed under Creative Commons CC-BY 4.0 license. Software code is licensed under a modified BSD license.
50 +All text and example data in this collab is licensed under Creative Commons CC-BY 4.0 license. Software code is licensed under a modified BSD license. Please note that the example data is preliminary and might contain inaccuracies in event timestamps. This current version is therefore only meant for demonstration and validation purposes.
51 51  
52 52  [[image:https://i.creativecommons.org/l/by/4.0/88x31.png||style="float:left"]]
53 53  
54 +== ==
55 +
54 54  == Acknowledgments ==
55 55  
56 56  This open source software code was developed in part or in whole in the Human Brain Project, funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
57 57  
58 58  
59 -[[image:collage.png]]
61 +[[image:logos_sga2_sp3_uc003.png||alt="Logos SP3 Use Case 3"]]
60 60  )))
61 61  
62 62  
collage.png
Author
... ... @@ -1,1 +1,0 @@
1 -XWiki.jurkusr
Size
... ... @@ -1,1 +1,0 @@
1 -327.1 KB
Content
logos_sga2_sp3_uc003.png
Author
... ... @@ -1,0 +1,1 @@
1 +XWiki.denker
Size
... ... @@ -1,0 +1,1 @@
1 +1.0 MB
Content