Wiki source code of CNS 2023 - Workshop
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8.1 | 1 | [[image:CNS*2023_Workshop_banner_EBRAINS.png]] |
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9.1 | 2 | |
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16.1 | 3 | **ARE YOU WORKING AT THE EDGE OF PERSONALIZED BRAIN NETWORK MODELING AND HEALTH CARE SECTOR?** |
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9.1 | 4 | |
5 | |||
6 | **Program.** | ||
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14.1 | 7 | |
8 | **09:00 - 09:30 Introduction to personalized brain twin technology, its validation | ||
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11.1 | 9 | and certification for clinical application ** |
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9.1 | 10 | Petra Ritter |
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13.1 | 11 | **09:30 - 10:00 Introduction to The Virtual Brain simulation platform** |
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9.1 | 12 | Julie Courtiol |
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16.1 | 13 | **10:00 - 10:30 The Virtual Brain Ontology (TVB-O): Ontology for brain network |
14 | models | ||
15 | **Christoph Hüttl | ||
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13.1 | 16 | \\//10:30-10:50 Coffee Break// |
17 | \\**11:00-11:30 Integrating biological knowledge in brain network models: | ||
18 | The Virtual Brain Knowledge Base adapter (TVBase)** | ||
19 | Leon Martin | ||
20 | **11:30-12:00 Automated and containerized processing pipelines for creating | ||
21 | simulation ready structural and functional stroke brain data** | ||
22 | Patrik Bey | ||
23 | **12:00-12:30 The Virtual Mouse Brain | ||
24 | **Jeehye An | ||
25 | \\//12:30-14:10 Lunch Break//** | ||
26 | \\14:20-14:50 Use Case: Brain network modeling for decision support in dementia ** | ||
27 | Leon Stefanovski | ||
28 | **14:50-15:20 Multiscale brain simulation: Coupling of various neuronal simulators** | ||
29 | Valery Bragin | ||
30 | \\//15:20-15:50//** **//Coffee Break// | ||
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9.1 | 31 | |
32 | |||
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13.1 | 33 | **16:00-16:30 Use Case: //In silico// optimization of DBS with multiscale patient brain |
34 | models and BIDS standard for computational models** | ||
35 | Jil Meier | ||
36 | **16:30-17:00 Hands-On: Simulate brain stimulation with TVB** | ||
37 | Anaïs Halimi | ||
38 | **17:00-17:30 Modeling cerebral energy metabolism in The Virtual Brain** | ||
39 | Taher Halgurd | ||
40 | **17:30-18:00 Simulating cognitive brain function** | ||
41 | Petra Ritter | ||
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9.1 | 42 | |
43 | |||
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10.1 | 44 | |
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9.1 | 45 | **Training Materials.** |
46 | |||
47 | The Training Materials can be found in Drive. |