guest ::
| Home > Publications database > HIBALL Winter School 2023 |
| Conference / Event | FZJ-2024-05728 |
; ; ;
2023
Abstract: On February 9 and 10, 2023 we will be holding the second HIBALL Winter School, designed as a series of tutorials covering different aspects of working with the BigBrain and related datasets and tools. The Winter School will be setup as a hybrid meeting, with physical meetings in both Jülich and Montreal connected via an interactive live stream. Due to the time difference between the two cities, the school is organised over two half days. Mentors will be available for questions on-site and via chat. We are looking forward to welcome all who already work or would like to start working with the BigBrain to take part in this teaching event. <br><br>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. <br><br>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 early career researchers to join the discussion and become part of the BigBrain community.<br> <br>The event is free, but registration is mandatory. Please note that you have to join one of the physical meetings in Jülich or Montreal. A virtual participation is not foreseen.
|
The record appears in these collections: |
