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***2nd Elephant User Workshop***
<br>
--Accelerate Structured and Reproducible Data Analysis in
Electrophysiology--
<br>
Virtual Event<br>
Nov 17-19, 2020<br>
<br>
<br>
Summary:<br>
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.
<p style="text-align: justify;">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:</p>
<ul>
<li style="text-align: justify;">reading and manipulating
electrophysiology data in Python using Neo <span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; white-space: pre-wrap;"><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; white-space: pre-wrap;">[1]</span></span></li>
<li style="text-align: justify;">analysis of such data using
Elephant <span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; white-space: pre-wrap;">[2]</span></li>
<li style="text-align: justify;">best practices for integrating
metadata into your workflow to aid the analysis process</li>
<li style="text-align: justify;">best practices for structuring
analysis results</li>
<li style="text-align: justify;">tracking data analysis pipelines
using the HBP Knowledge Graph <span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; white-space: pre-wrap;">[3]</span></li>
<li style="text-align: justify;">collaboration and sharing
documents using the HBP Collaboratory <span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; white-space: pre-wrap;">[4]</span></li>
</ul>
<p style="text-align: justify;">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.</p>
For more information and registration, check out:
<br>
<a class="moz-txt-link-freetext"
href="https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/1st-elephant-user-workshop-accelerate-structured-and-reproducibl/">https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/2nd-elephant-user-workshop/</a>
<br>
<br>
<br>
Organizers:
<br>
Andrew Davison | French National Centre for Scientific Research,
France
<br>
Michael Denker | Forschungszentrum Jülich, Germany
<br>
Martina Schmalholz | Heidelberg University, Germany
<br>
<br>
<br>
References:
<br>
[1] Neo, <a class="moz-txt-link-freetext"
href="https://neo.readthedocs.io">https://neo.readthedocs.io</a>
<br>
[2] Elephant, <a class="moz-txt-link-freetext"
href="https://elephant.readthedocs.io">https://elephant.readthedocs.io</a>
<br>
[3] HBP Knowledge Graph,
<a moz-do-not-send="true" href="https://kg.ebrains.eu">https://kg.ebrains.eu</a><br>
[4] HBP Collaboratory, <a class="moz-txt-link-freetext"
href="https://collab.humanbrainproject.eu">https://wiki.humanbrainproject.eu</a>
<br>
<br>
<br>
<pre class="moz-signature" cols="72">--
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 <a class="moz-txt-link-abbreviated" href="http://www.csn.fz-juelich.de">www.csn.fz-juelich.de</a>
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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