Last modified by jfioril1 on 2022/05/23 22:36
From version 21.1
edited by denker
on 2020/04/03 16:33
Change comment: There is no comment for this version
To version 28.1
edited by denker
on 2020/04/03 16:59
Change comment: There is no comment for this version

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2 2  (((
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5 -= Multi-area multi-sensory representations in freely moving rats =
5 += Multi-area Multi-sensory Representations in Freely Moving Rats =
6 6  
7 -Analysis pipeline for representation and analysis of electrophysiological data
7 +Use Case SGA2-SP3-003: Analysis pipeline for representation and analysis of electrophysiological data
8 8  )))
9 9  )))
10 10  
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13 13  (% class="col-xs-12 col-sm-8" %)
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15 -= What can I find here? =
15 +== Demonstration of the analysis of electrophysiological data ==
16 16  
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 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 +
22 +== Executing the analysis notebook ==
23 +
24 +* **Copy the collab drive to your drive space**
25 +** Open the Drive from the left menu
26 +** Copy "Demonstrator_Use_Case_SGA2-SP3-003.ipynb" and select 'My Library' from the dropdown 'Other Libraries'
27 +
28 +* **Start a Jupyter Hub instance **
29 +In another browser, open [[https:~~/~~/lab.ebrains.eu>>url:https://lab.ebrains.eu]]
30 +
31 +* **Run the notebook**
32 +In the Jupyter Hub, navigate to `drive/My Libraries/My Library/XXX.ipynb`, and run the notebook.
33 +
20 20  == License (to discuss) ==
21 21  
22 22  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.
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