Videos of all sessions are now available at YouTube.
In February 2021 we will hold the first Winter School of the Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL). The courses will offer introductions and practical hands-on sessions regarding BigBrain, related datasets and tools: IT-Infrastructure, image analysis, visualization and annotation. We are looking forward to welcome all creators and friends of the BigBrain to take part in this first HIBALL teaching event.
The BigBrain model has become an important tool for brain mapping, enabling studies and the integration of multimodal data into an anatomically realistic standard space at microscopic resolution. In a joint effort, researchers from McGill University in Montreal and the Forschungszentrum Jülich used 7404 digitized histological sections and developed the BigBrain as a high-resolution 3D model of the human brain (Amunts et al., Science 2013). HIBALL builds on this cross-continental cooperation and now aims to develop the next-generation high-resolution human brain models with the help of state of the art Machine Learning methods and high-performance computing infrastructures. With the teaching events of the BigBrain project, we reach out to the thriving community of users and developers which has emerged around the BigBrain. We particularly invite young researchers to join the discussion and become part of the BigBrain community.
The first edition of the HIBALL Winter School is designed as a series of tutorials covering different aspects of working with the BigBrain data. It will be setup as a hybrid meeting, if possible, with physical meetings in both Jülich and Montreal connected via an interactive live stream. External participants are welcome to join online. Due to the time difference between Montreal and Jülich, the school is organised over two half days, with the first half dedicated to courses and the other to complete exercises. During this time mentors will be available for questions via chat.
The event is free, but registration is mandatory. Please register by 1 February 2021 at the latest.
Program
Please join the BigBrainProject Forum and the 'HIBALL Winter School 2021' group. You can post your questions already before the meeting, and we will continue discussion afterwards. Please read the 'Intro' message before you post your question.
February 3
| EST (Montreal) | CET (Jülich) | |
| 8:00am | 2:00pm |
Katrin Amunts Nicola Palomero-Gallagher |
| 10 min break | ||
| 9:10am | 3:10pm | Petur Helgi Einarsson, Morris Riedel, Shahbaz Memon, Tristan Glatard, Valérie Hayot-Sasson, Natacha Beck BigBrain data processing with CBRAIN and DataLad - part I |
| 20 min break | ||
| 10:30am | 4:30pm | Petur Helgi Einarsson, Mohammad Shahbaz Memon, Morris Riedel, Tristan Glatard, Valérie Hayot-Sasson, Natacha Beck BigBrain data processing with CBRAIN and DataLad - part II |
| 10 min break | ||
| 11:40am | 5:40pm | Timo Dickscheid BigBrain - a core part of the human brain atlas in the European EBRAINS platform |
| 20 min break | ||
| 1:00pm | 7:00pm | Louis Borgeat, Philippe Massicotte, Andrea Brandtstetter, Mona Omidyeganeh Atelier3D-MCIN Tutorial – A software suite for interactive visualization, annotation and mapping of the big brain |
| 2:00pm | 8:00pm | Timo Dickscheid Wrap-up day 1 |
February 4
| EST (Montreal) | CET (Jülich) | |
| 8:00am | 2:00pm |
Boris Bernhardt, Casey Paquola |
| 10 min break | ||
| 9:10am | 3:10pm | Timo Dickscheid, Sebastian Bludau Anchoring partial volumetric data to BigBrain using VoluBA |
| 20 min break | ||
| 10:30am | 4:30pm | Thomas Funck Algorithms for Segmenting the Brain: From thresholding to deep neural network |
| 10 min break | ||
| 11:40am | 5:40pm | Konrad Wagstyl Working with the BigBrain atlas of cortical layers |
| 20 min break | ||
| 1:00pm | 7:00pm | Katja Heuer, Roberto Toro, Nicolas Traut Collaborative segmentation and analysis of histological data on the Web using MicroDraw |
| 2:00pm | 8:00pm | Alan C Evans Closing |
