Last modified by jfioril1 on 2022/05/23 22:36
From version 25.1
edited by denker
on 2020/04/03 16:44
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To version 39.1
edited by denker
on 2020/04/06 12:21
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1 -SGA2 SP3 UC003
1 +SGA2 SP3 UC003 - Temporal Structure in Recorded Ensemble Activity
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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= Multi-area Multi-sensory Representations in Freely Moving Rats =
5 += Temporal structure in recorded Ensemble Activity =
6 6  
7 -Use Case SGA2-SP3-003: Analysis pipeline for representation and analysis of electrophysiological data
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 +
9 +To be discussed Author order, contributions,...:
10 +
11 +Experiments: Julien Fiorilli^^2^^
12 +
13 +Implementation: Regimantas Jurkus^^1^^, Julien Fiorilli^^2^^, Pietro Marchesi^^2^^, Thijs Ruikes^^2^^
14 +
15 +Lead: Michael Denker^^1^^, Sonja Grün^^1^^, Cyril Pennartz^^2^^
16 +
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 +
19 +,,2) Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands,,
8 8  )))
9 9  )))
10 10  
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17 17  A notebook that demonstrates how to apply the pipeline to a complex dataset.
18 18  \\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.
19 19  
20 -This notebook 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.
21 21  
34 +== Executing the analysis notebook ==
35 +
36 +* **Copy the collab drive to your drive space**
37 +** Open the Drive from the left menu
38 +** Select "Demonstrator_Use_Case_SGA2-SP3-003.ipynb", the "Figures" folder, and the "Data" folder
39 +** Copy the selected items, and select the destination 'My Library' from the dropdown 'Other Libraries'
40 +
41 +* **Start a Jupyter Hub instance **
42 +In another browser, open [[https:~~/~~/lab.ebrains.eu>>url:https://lab.ebrains.eu]]
43 +
44 +* **Run the notebook**
45 +In the Jupyter Hub, navigate to `drive/My Libraries/My Library/Demonstrator_Use_Case_SGA2-SP3-003.ipynb`, and run the notebook.
46 +
47 +
22 22  == License (to discuss) ==
23 23  
24 24  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.
25 25  
52 +[[image:https://i.creativecommons.org/l/by/4.0/88x31.png||style="float:left"]]
53 +
26 26  == Acknowledgments ==
27 27  
28 28  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 +
58 +
59 +[[image:collage.png]]
29 29  )))
30 30  
31 31  
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