[Neuroinfo] Training workshop: Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019

[Fastmail]

Workshop: Accelerate Structured and Reproducible Data Analysis in Electrophysiology

Gif-sur-Yvette (near Paris), France

Nov 4-6, 2019

Summary:

In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyse electrophysiological data, such as spike train data or LFP time series.

In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be:
  * reading and manipulating electrophysiology data in Python using Neo [1]
  * analysis of such data using Elephant [2]
  * best practices for integrating metadata into your workflow to aid the analysis process
  * best practices for structuring of analysis results
  * tracking data analysis pipelines using the HBP Knowledge Graph [3]
  * collaboration and sharing using the HBP Collaboratory [4]

For more information and registration, check out:

https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/1st-elephant-user-workshop-accelerate-structured-and-reproducibl/


Organizers:
Andrew Davison | CNRS, France
Michael Denker | Forschungszentrum Jülich, Germany
Martina Schmalholz | Heidelberg University, Germany


References:
[1]    Neo, https://neo.readthedocs.io
[2]    Elephant, https://elephant.readthedocs.io
[3]    HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/
[4]    HBP Collaboratory, https://collab.humanbrainproject.eu