Connectionists: 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 08:33:37 EDT 2020
***2nd Elephant User Workshop***
--Accelerate Structured and Reproducible Data Analysis in
Electrophysiology--
Virtual Event
Nov 17-19, 2020
Summary:
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
simulation.
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:
https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/2nd-elephant-user-workshop/
Organizers:
Andrew Davison | French National Centre for Scientific Research, 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://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 Neuroscience www.csn.fz-juelich.de
Jülich Research Centre and JARA
52425 Jülich, Germany
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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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