Last modified by jfioril1 on 2022/05/23 22:36
From version 28.1
edited by denker
on 2020/04/03 16:59
Change comment: There is no comment for this version
To version 24.3
edited by denker
on 2020/04/03 16:37
Change comment: There is no comment for this version

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12 12  (((
13 13  (% class="col-xs-12 col-sm-8" %)
14 14  (((
15 -== Demonstration of the analysis of electrophysiological data ==
15 += A demonstration for 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 -
34 34  == License (to discuss) ==
35 35  
36 36  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.