[Comp-neuro] Announcement: 2nd Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Nov 17-19, 2020

Michael Denker m.denker at fz-juelich.de
Mon Sep 21 14:33:29 CEST 2020

***2nd Elephant User Workshop***
--Accelerate Structured and Reproducible Data Analysis in 
Virtual Event
Nov 17-19, 2020

This event delves into challenges in the reproducibility of neuroscience 
workflows dealing with classical electrophysiological activity data, 
such as spiking data or local field potentials, from experiment or 

The training will cover the complete cycle from generating structured 
and consistent data and metadata, accessing the data, pre-processing, 
setting up analysis workflows, up to the tracking of the provenance of 
the analysis results. In this context, the e-infrastructure services of 
EBRAINS offer a mature data, software and compute services ecosystem 
with community-driven tools developed in the framework of the Human 
Brain Project. In the first part of the workshop, participants will be 
trained in the use of tools covering the following topics:

  * 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 analysis results
  * tracking data analysis pipelines using the HBP Knowledge Graph [3]
  * collaboration and sharing documents using the HBP Collaboratory [4]

In the second part of the workshop, participants will work together with 
a tutor in small groups, on their own data and on particular personal 
interests in the scope of the workshop. To this end, participants are 
asked to provide a small abstract describing the data set they would 
like to bring and work on (contents of the dataset, data format, data 
size...) and the topic they are interested in. The latter may, for 
example, be related to: annotating the dataset with metadata for 
collaboration and sharing, working with the dataset in the Neo 
framework, or performing a certain kind of analysis with the data set. 
The goal of each group is to get started addressing the topic, identify 
solutions together with the tutors, and implement a first prototype of 
the required functionality.

For more information and registration, check out:

Andrew Davison | French National Centre for Scientific Research, France
Michael Denker | Forschungszentrum Jülich, Germany
Martina Schmalholz | Heidelberg University, Germany

[1]    Neo, https://neo.readthedocs.io
[2]    Elephant, https://elephant.readthedocs.io
[3]    HBP Knowledge Graph, https://kg.ebrains.eu
[4]    HBP Collaboratory, https://wiki.humanbrainproject.eu

Dr. Michael Denker
Institute of Neuroscience and Medicine (INM-6)    Tel: +49 2461 61-9471
Computational and Systems Neuroscience &          Fax: +49 2461 61-9460
Institute for Advanced Simulation (IAS-6)
Theoretical Neurosciencewww.csn.fz-juelich.de
Jülich Research Centre and JARA
52425 Jülich, Germany

Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Volker Rieke
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt

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