Demonstration of the analysis of electrophysiological data

A notebook that demonstrates how to apply the pipeline to a complex dataset.

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. 

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. 

Executing the analysis notebook

• Copy the collab drive to your drive space
  • Open the Drive from the left menu
  • Select "Demonstrator_Use_Case_SGA2-SP3-003.ipynb", the "Figures" folder, and the "Data" folder
  • Copy the selected items, and select the destination 'My Library' from the dropdown 'Other Libraries'
     
• Start a Jupyter Hub instance 
  In another browser, open https://lab.ebrains.eu
   
• Run the notebook
  In the Jupyter Hub, navigate to `drive/My Libraries/My Library/Demonstrator_Use_Case_SGA2-SP3-003.ipynb`, and run the notebook.
   

License

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. 
Please note that the data in this Collab is preliminary and might therefore still contain inaccuracies in specific event timestamps. 

Acknowledgments

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).