Last modified by jfioril1 on 2022/05/23 22:36
From version 55.1
edited by jfioril1
on 2020/04/15 14:37
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To version 44.1
edited by denker
on 2020/04/06 14:30
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1 -XWiki.jfioril1
1 +XWiki.denker
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6 6  
7 7  **Use Case SGA2-SP3-003: Pipeline for analyzing Temporal structure in recorded Ensemble Activity and related Systems Neuroscience data in association with behavior, cognitive processing and modeling**
8 8  
9 +To be discussed Author order, contributions,...:
10 +
9 9  Experiments: Julien Fiorilli^^2^^
10 10  
11 11  Implementation: Regimantas Jurkus^^1^^, Julien Fiorilli^^2^^, Pietro Marchesi^^2^^, Thijs Ruikes^^2^^
12 12  
13 -Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Cyriel Pennartz^^2^^
15 +Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Cyril Pennartz^^2^^
14 14  
15 15  ,,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,,
16 16  
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25 25  == Demonstration of the analysis of electrophysiological data ==
26 26  
27 27  A notebook that demonstrates how to apply the pipeline to a complex dataset.
28 -\\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.
29 29  
30 -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.
31 31  
32 32  == Executing the analysis notebook ==
33 33  
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43 43  In the Jupyter Hub, navigate to `drive/My Libraries/My Library/Demonstrator_Use_Case_SGA2-SP3-003.ipynb`, and run the notebook.
44 44  
45 45  
46 -== License ==
48 +== License (to discuss) ==
47 47  
48 -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. 
49 -Please note that the data in this Collab is preliminary and might therefore still contain inaccuracies in specific event timestamps.
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 50  
51 51  [[image:https://i.creativecommons.org/l/by/4.0/88x31.png||style="float:left"]]
52 52  
54 +(% class="wikigeneratedid" %)
53 53  == ==
54 54  
55 55  == Acknowledgments ==