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15		-== Demonstration of the analysis of electrophysiological data ==
	15	+= What can I find here? =
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 pipeline ==
23		-
24		-[[image:pipeline_flowchart.png]]
25		-
26		-=== In the HBP Collab (beta) ===
27		-
28		-* **Copy the collab drive to your drive space**
29		-** Open the Drive from the left menu
30		-** Select the folders 'pipeline' and 'datasets'
31		-** Select 'Copy', and then 'My Library' from the dropdown 'Other Libraries'
32		-
33		-* **Start a Jupyter Hub instance **
34		-In another browser, open [[https:~~/~~/lab.ebrains.eu>>url:https://lab.ebrains.eu]]
35		-
36		-* **Run the notebook**
37		-In the Jupyter Hub, navigate to `drive/My Libraries/My Library/XXX.ipynb`, and run the notebook.
38		-
39	39	== License (to discuss) ==
40	40
41	41	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.