EBRAINS users days - Agenda

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, Germany

Street address: Im Neuenheimer Feld 225a, 69120 Heidelberg, Germany.
Please see the EINC page for tram and parking info.

Registration

The registration fee of 25 Euro / day includes the lunch at Heidelberg University mensa, coffee breaks and cookies.
To register for the users day :

• if you are an "EBRAINS 2.0 (or friends) project member", please use the registration form for project members
• if you have an EBRAINS account (recommended) please register here with EBRAINS account
• else (i.e. if you do not (yet) have an EBRAINS account), please register here

(To request a free-of-charge EBRAINS users account please use https://ebrains.eu/register)

Posters

12 poster boards in the coffee break area are available (contact Björn to reserve one) to highlight tools or services and serve as conversation-starters:

• The EBRAINS Software Distribution (ESD)
• BrainScaleS neuromorphic compute system
• EBRAINS tools-for-teaching

(for linking to the agenda this ebrains.eu URL can be used.) .

Collect your name-tag and a cookie.

An introduction tour through the whole EBRAINS Research Infrastructure.

Introduction + panel discussion with audience feedback

Instruct-ERIC is a pan-European distributed research infrastructure making high-end technologies and methods in structural biology available to users. In July, EBRAINS and Instruct-ERIC signed a Memorandum of Understanding, establishing a strategic collaboration to strengthen links between digital neuroscience and structural biology research infrastructures in Europe.

Introduction to the basics of the EBRAINS Research Infrastructure:

• EBRAINS account
• The Collaboratory - collaboration environment for research teams
  • wiki - a place for easy documention
  • drive - a place to store files
• Lab - An execution environment for python notebooks for no-installation access to EBRAINS tools - an introduction with examples from different project areas
• Handbook
• Forms?

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

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.

The 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).

Workflows combining different tools potentially running at different sites (e.g. for accessing local data sets and leverage compute power).

Workflows introductions to the cerebellar models repo and the Cerebellar-hub

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.

show abstract

show abstract

More information about the tutorials in this slot:

Introduction to simulating neural networks using Arbor

Arbor 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.

BrainScaleS

In 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.

• Participants can use their EBRAINS account (available at https://ebrains.eu/register free of charge) or can use a guest account during the tutorial. With an own account the participants can continue using the neuromorphic compute systems also after the end of the tutorial.
• For the tutorial we will use the non persistent quick start here on EBRAINS.
  
  

Human Intracerebral EEG Platform (HIP) powered by CHORUS

In 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.

• Participants will access the platform through a web browser on their own laptop.
• Participants will require an EBRAINS account (available free of charge at https://ebrains.eu/register) to access the platform and the tutorial datasets.
  
  

Large-Scale Simulation-Based Inference with TVB

This hands-on tutorial introduces large-scale Simulation-Based Inference (SBI) with The Virtual Brain (TVB) using a pre-built workflow hosted and accessible through the EBRAINS infrastructure. Participants will learn how GPU-accelerated TVB simulations can be used as a large-scale simulator for likelihood-free inference, efficiently generating data across broad model parameter spaces. The tutorial demonstrates how these simulations are integrated into an SBI pipeline to learn relationships between model parameters and simulated observables and to estimate posterior parameter distributions. Particular attention is given to the computational advantages of GPU acceleration and how EBRAINS infrastructure can facilitate scalable and reproducible SBI workflows for computationally demanding whole-brain models.

Clinical Connectome Tutorial

Aim: Participants will become familiar with the Clinical Connectome features and will learn how to combine them to address a simple clinical research question. Structure: The tutorial opens with a short recap of how to request and download Clinical Connectome features within the CinecaPHI environment, followed by a walkthrough of the features directory structure. Participants then load a small subsample of patient data through the notebook and perform basic QC checks (e.g., visualizing lesion overlay on the template, checking surface reconstruction quality). Two guided activities illustrate how to work with these data around simple research questions: Lesion-based analysis: compute lesion volume and generate a lesion overlap map across the subsample, then relate lesion burden to a clinical outcome score with a simple correlation. Structure-connectivity comparison: compare cortical thickness and structural/functional connectivity between the lesioned and contralateral hemisphere, to show how to integrate features from different modalities in a single analysis

Parallel tutorial sessions:

Infos:

• On the day after the EBRAINS users days the education department of the EBRAINS 2.0 project organizes a students day Please find the agenda of the students day (8 October 2026). here
• If you want to experience another hands-on tutorial (only online, though): The "Virtual users days" happen from 12-14 October 2026