HBP & EBRAINS at INCF Neuroinformatics Assembly

19–29 April 2021


The Human Brain Project will be present at the INCF Neuroinformatics Assembly, which will take virtually, from 19-29 April 2021.
 
The event aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics.
 
If you have any questions, please contact: outreach@humanbrainproject.eu.
 

EXPRESSION OF INTEREST

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RELEVANT MATERIALS:

Documents to download:

Videos to watch: 

Further links:

 
 
If you wish to learn more about our digital research infrastructure, please visit our website
EBRAINS.EU or follow us on Social Media.
 
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PROGRAMME & VIRTUAL BOOTH SCHEDULE

Following you can find all activities, hosted and presented by HBP/EBRAINS representatives on the virtual booth as well as the main programme. All times are displayed in CEST (Central European Summertime).

*GREEN - Main programme presentations

*BLUE - Virtual booth presentations

Monday, 19th April 2021

Presented by Heidi Kleuven (University of Oslo).

Tuesday, 20th April 2021

Navigate, charaterize and analyze information on the basis of anatomical location.

Presented by Heidi Kleuven (University of Oslo).

Wednesday, 21st April 2021

This presentation offers an introduction to the Fenix infrastructure that is providing compute, cloud and storage resources to neuroscientists. It also highlights a few neuroscience projects that are using the Fenix resources and provides details on how to gain access to these services.

Presented by Alex Upton (CSCS).

The participants will be informed about the application procedure, the scope of the Call and the details about what is especially relevant for the Call.

Presented by Katrin Amunts (FZ Jülich).

The analysis of electrophysiology data typically comprises multiple steps. These often consist of several scripts executed in a specific temporal order, which take different parameter sets and use distinct data files. As the researcher adjusts the individual analysis steps to accommodate new hypotheses or additional data, the resulting workflows may become increasingly complex, and undergo frequent changes. Although it is possible to use workflow management systems to organize the execution of the scripts and capture provenance information at the level of the script (i.e., which script file was executed, and in which environment?) and data file (i.e., which input and output files were supplied to that script), the resulting provenance track does not automatically provide details about the actual analysis carried out inside each script.

Therefore, the final analysis results can only be understood by source code inspection or reliance in any accompanying documentation. We focus on two open-source tools for the analysis of electrophysiology data developed in EBRAINS. The Neo (RRID:SCR_000634) framework provides an object model to standardize neural activity data acquired from distinct sources. Elephant (RRID:SCR_003833) is a Python toolbox that provides several functions for the analysis of electrophysiology data. We set to improve these tools by implementing a data model that captures detailed provenance information and by representing the analysis results in a systematic and formalized manner. Ultimately, these developments aim to improve reproducibility, interoperability, findability, and re-use of analysis results.

Presented by Cristiano Köhler (FZ Jülich).

Presented by Petra Ritter (Berlin Institute of Health).

Presented by Jan Bjaalie (University of Oslo) & Steven Vermeulen (EBRAINS).

Thursday, 22nd April 2021

Presented by Maja Amedjkouh Puchades (University of Oslo).

Friday, 23rd April 2021

Monday, 26th April 2021

Tuesday, 27th April 2021

This presentation offers an introduction to the Fenix infrastructure that is providing compute, cloud and storage resources to neuroscientists. It also highlights a few neuroscience projects that are using the Fenix resources and provides details on how to gain access to these services.

Presented by Javier Bartolome (BSC).

Presented by Maja Amedjkouh Puchades (University of Oslo).

Presented by Johannes Hjorth (KTH Royal Institute of Technology).