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EBRAINS users days - Agenda
(hide abstracts)| Tuesday, 6 October 2026 | |||
| 09:00 | EBRAINS users days -day I: especially for EBARINS newcomers We recommend to attend "in person" in Heidelberg. For people, who can not make it: The talks during the introduction day (6 October) will also be streamed (free of charge).
Venue: at the EINC in Heidelberg, GermanyStreet address: Im Neuenheimer Feld 225a, 69120 Heidelberg, Germany. RegistrationTo register for the users day :
(To request a free-of-charge EBRAINS users account please use https://ebrains.eu/register) The registration fee of 25 Euro / day includes the lunch at Heidelberg University mensa, coffee breaks and cookies.
Posters12 poster boards in the coffee break area are available (contact Björn to reserve one) to highlight tools or services and serve as conversation-starters:
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| 09:00‑09:10 (10 min) | Welcome to the day | ||
| 09:10‑10:10 (60 min) | EBRAINS Reseearch Infrastructue Introduction An introduction tour through the whole EBRAINS Research Infrastructure. | Moderated by Jan Bjaalie | |
| 10:10‑10:40 (30 min) | Coffee break | ||
| 10:40‑11:30 (50 min) | EBRAINS Data and Knowledge services: past, present, future Introduction + panel discussion with audience feedback | Moderated by Jan Bjaalie | |
| 11:30‑12:30 (60 min) | Lunch at Heidelberg University mensa | ||
| 12:30‑12:55 (25+5 min) | TBC | ||
| 13:00 | Introduction to the basics of the EBRAINS Research Infrastructure | ||
| 13:00‑14:00 (60 min) | Session Introduction to the basics of the EBRAINS Research Infrastructure:
| Eleni | |
| 14:00‑14:30 (30 min) | Coffee break | ||
| 14:30 | Introductions to different aspects of the EBRAINS RI | ||
| 14:30‑15:00 (30 min) | Session Suggestions:
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| 15:00‑15:20 (20 min) | Curation-Ready: Data, Models & Software An introduction on how to prepare for curation of datasets, models or software for inclusion in the EBRAINS RI knowledge graph and data sharing services | TDB | |
| 15:20‑15:40 (20 min) | Computing big: High Performance Compute (HPC) resources Introduction of the ways the EBRAINS team can help creating a sound proposal for applying for High Performance Compute (HPC) resources for research cases, where local compute power is insufficient. | TBD | |
| 15:40‑16:00 (20 min) | The EBRAINS software distribution (ESD) The [https://ebrains.eu/esd](EBRAINS software distribution) provides a software environment (container) for using lots of EBRAINS tools in the same setup - from usage on an individual system up to HPC environments. This session demonstrates the process (download, use, scale up). | Eleni (TBC) | |
| 16:00‑16:20 (20 min) | EBRAINS workflows: all tools on deck Workflows combining different tools potentially running at different sites (e.g. for accessing local data sets and leverage compute power). | ||
| Wednesday, 7 October 2026 | |||||||||||||
| 09:00 | EBRAINS user days - day II: hands-on tool tutorials There slots, 2h each, of parallel offers for hands-on tutorials. For most of the EBRAINS tools used in the tutorials an EBRAINS account will be needed. Best get your account ahead of time. If that is not possible you can also get a guest account on the spot to be able to participate in the hands-on tool usage sessions. | ||||||||||||
| 09:00‑09:15 (15 min) | (Registration for attendants of day II) | ||||||||||||
| 09:15‑09:30 (15 min) | Get your EBRAINS account ready -- guest accounts for the rest | ||||||||||||
| 09:30‑11:30 (120 min) | Parallel hands-on tutorialsMedical Informatics Platform (MIP)In this tutorial, participants will explore the Medical Informatics Platform (MIP), a federated research environment that enables secure discovery and analysis of distributed health data across institutions. Using the Public MIP instance, participants will gain an overview of the platform's architecture, learn about the principles of federated data sharing and analysis, and discover how researchers can access and work with available datasets through the MIP ecosystem. After a short introduction to the platform and its federated setup, participants will be guided through the data catalogue, the newly developed user interface, and a prepared analysis workflow. This hands-on session will provide practical insights into how the platform supports collaborative medical research while maintaining data sovereignty and privacy.
Siibra toolsThe Virtual Brain (TVB) - introductionThe TVB session will be showing the basing building block of TVB, how to set up and run a whole-brain simulation, explained through use-cases of modeling epileptic seizures, virtual resection and stimulation. (See here for additional information)
SpiNNakerIn this tutorial, participants will learn how to access and use SpiNNaker, one of the world's largest neuromorphic computing platforms. After an initial introduction to the platform and the PyNN language on SpiNNaker, the participants will then be able to access the EBRAINS Jupyter Lab using a web browser on a laptop (a mobile phone is not recommended for this) and use this to follow exercises allowing them to build up their knowledge of running PyNN scripts on SpiNNaker. The workshop leader will be on hand throughout the session to help with any problems, and to answer any additional questions about the system and its use.
Knowledge Graph for data consumersDescription pending
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| 11:30‑12:30 (60 min) | Lunch | ||||||||||||
| 12:30‑14:30 (120 min) | Parallel hands-on tutorials (Details to be provided)
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| 14:30‑15:00 (30 min) | Coffee break | ||||||||||||
| 15:00‑17:00 (120 min) | Parallel hands-on tutorials More information about the tutorials in this slot: Introduction to simulating neural networks using ArborArbor is a library for simulating biophysically detailed neuron models on modern hardware. It comes with a friendly Python interface hiding its blazingly fast C++ core; scaling from laptops to at least 4000 GPUs.
In this tutorial, we will show you the basics of designing detailed cell models, how to run them using Arbor, and how to grow them into larger networks. We will demonstrate how to create data drive models using the Allen Brain Atlas as an example.
Arbor is free and open-source software, developed in the Human Brain Project and EBRAINS.
BrainScaleSIn this tutorial, participants have the chance to explore BrainScaleS-2, one of the world’s most advanced analog platforms for neuromorphic computing. For the tutorial, participants will use a web browser on their own laptop for remote access to BrainScaleS-2 systems via the EBRAINS Research Infrastructure. After a short introduction to neuromorphic computing and spiking neural networks, they will learn how to express and run experiments on the neuromorphic platform through either the (machine-learning targeting) PyTorch- or the (neuroscience targeting) PyNN-based software interfaces. This will allow them to gain insights into the unique properties and challenges of analog computing and to exploit the versatility of the system by exploring user-defined learning rules. Each participant will have the opportunity to follow a prepared tutorial or branch-off and implement their own project on the systems.
Human Intracerebral EEG Platform (HIP) powered by CHORUSIn this tutorial, participants will explore CHORUS, a trusted research environment that provides the tools and infrastructure needed to support secure, collaborative, and reproducible data-driven research. Designed to accommodate a wide range of scientific use cases, CHORUS enables researchers to manage and analyse diverse data types, including medical images and time series data within a unified collaborative workspace. Using the Human Intracerebral EEG Platform (HIP) as a neuroscience-focused use case, participants will gain an overview of the platform’s capabilities and learn how to create workspaces, set up collaborative projects, and manage research activities across teams. They will be introduced to the CHORUS App Store, which provides access to a growing portfolio of analytical tools and services, and will learn how these can be integrated into their research workflows. Through a hands-on exercise with tutorial datasets, participants will create a project environment, organize resources, and take the first steps towards preparing and executing a simple analysis. This session will provide practical insights into how CHORUS supports collaborative research while ensuring secure and efficient data management.
Parallel tutorial sessions:
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| 17:00 | End of the hands-on tools trainings
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