Wiki source code of CNS 2023 - Workshop
Hide last authors
author | version | line-number | content |
---|---|---|---|
![]() |
8.1 | 1 | [[image:CNS*2023_Workshop_banner_EBRAINS.png]] |
![]() |
9.1 | 2 | |
3 | |||
4 | |||
5 | **Program.** | ||
6 | \\**09:00 - 09:30 Introduction to personalized brain twin technology, its validation and certification for clinical application ** | ||
7 | Petra Ritter | ||
8 | **09:30 - 10:00 Introduction to The Virtual Brain simulation platform** | ||
9 | Julie Courtiol | ||
10 | **10:00 - 10:30 The Virtual Brain Ontology (TVB-O): Ontology for brain network models | ||
11 | **Christoph Hüttl | ||
12 | \\//10:30-10:50 Coffee Break// | ||
![]() |
10.1 | 13 | \\**11:00-11:30 Integrating biological knowledge in brain network models: The Virtual Brain Knowledge Base adapter (TVBase)** |
14 | Leon Martin | ||
![]() |
9.1 | 15 | **11:30-12:00 Automated and containerized processing pipelines for creating simulation ready structural and functional stroke brain data** |
16 | Patrik Bey | ||
17 | **12:00-12:30 The Virtual Mouse Brain | ||
18 | **Jeehye An | ||
19 | \\//12:30-14:10 Lunch Break//** | ||
![]() |
10.1 | 20 | \\14:20-14:50 Use Case: Brain network modeling for decision support in dementia ** |
21 | Leon Stefanovski | ||
![]() |
9.1 | 22 | **14:50-15:20 Multiscale brain simulation: Coupling of various neuronal simulators** |
23 | Valery Bragin | ||
![]() |
10.1 | 24 | \\//15:20-15:50//** **//Coffee Break// |
![]() |
9.1 | 25 | |
26 | |||
![]() |
10.1 | 27 | **16:00-16:30 Use Case: //In silico// optimization of DBS with multiscale patient brain models and BIDS standard for computational models** |
28 | Jil Meier | ||
![]() |
9.1 | 29 | **16:30-17:00 Hands-On: Simulate brain stimulation with TVB** |
30 | Anaïs Halimi | ||
![]() |
10.1 | 31 | **17:00-17:30 Modeling cerebral energy metabolism in The Virtual Brain** |
32 | Taher Halgurd | ||
33 | **17:30-18:00 Simulating cognitive brain function** | ||
34 | Petra Ritter | ||
![]() |
9.1 | 35 | |
36 | |||
![]() |
10.1 | 37 | |
![]() |
9.1 | 38 | **Training Materials.** |
39 | |||
40 | The Training Materials can be found in Drive. |