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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17.1 | 3 | (% style="text-align: justify;" %) |
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18.1 | 4 | **ARE YOU WORKING ON BRAIN NETWORK MODELING AND SIMULATION IN THE HEALTHCARE DOMAIN?** |
| 5 | \\Technological advances in the field of personalized brain network modeling are being made at a breathtaking pace – and the healthcare sector is not spared from these developments. Multiscale simulations, simulation-based inference, cloud infrastructure for computing intense processing of digital brain twins, AI and robotics interfaces, and clinical validation of computational model-based decision making – are just a few examples of the latest developments. | ||
| 6 | While many potential solutions to address the clinical needs are already prototyped or tested in our labs, they also need testing in real-life environments and certification. | ||
| 7 | \\**HOW DO WE CROSS THE BRIDGE BETWEEN LAB PROTOTYPES AND PRACTICAL IMPLEMENTATION?** | ||
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19.1 | 8 | \\At the **"Multiscale personalized brain network modeling: Towards clinical applications"** **Workshop** from **9:00 to 18:00 CET**, discover TEF-Health - a world class reference Testing and Experimentation Facility Health AI and Robotics that integrates, discover TEF-Health - a world class expertise and infrastructure necessary for the design and implementation of digital human brain twin testing methods in real world environments. |
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9.1 | 9 | |
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| 11 | **Program.** | ||
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14.1 | 12 | |
| 13 | **09:00 - 09:30 Introduction to personalized brain twin technology, its validation | ||
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11.1 | 14 | and certification for clinical application ** |
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9.1 | 15 | Petra Ritter |
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13.1 | 16 | **09:30 - 10:00 Introduction to The Virtual Brain simulation platform** |
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9.1 | 17 | Julie Courtiol |
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16.1 | 18 | **10:00 - 10:30 The Virtual Brain Ontology (TVB-O): Ontology for brain network |
| 19 | models | ||
| 20 | **Christoph Hüttl | ||
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13.1 | 21 | \\//10:30-10:50 Coffee Break// |
| 22 | \\**11:00-11:30 Integrating biological knowledge in brain network models: | ||
| 23 | The Virtual Brain Knowledge Base adapter (TVBase)** | ||
| 24 | Leon Martin | ||
| 25 | **11:30-12:00 Automated and containerized processing pipelines for creating | ||
| 26 | simulation ready structural and functional stroke brain data** | ||
| 27 | Patrik Bey | ||
| 28 | **12:00-12:30 The Virtual Mouse Brain | ||
| 29 | **Jeehye An | ||
| 30 | \\//12:30-14:10 Lunch Break//** | ||
| 31 | \\14:20-14:50 Use Case: Brain network modeling for decision support in dementia ** | ||
| 32 | Leon Stefanovski | ||
| 33 | **14:50-15:20 Multiscale brain simulation: Coupling of various neuronal simulators** | ||
| 34 | Valery Bragin | ||
| 35 | \\//15:20-15:50//** **//Coffee Break// | ||
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9.1 | 36 | |
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13.1 | 38 | **16:00-16:30 Use Case: //In silico// optimization of DBS with multiscale patient brain |
| 39 | models and BIDS standard for computational models** | ||
| 40 | Jil Meier | ||
| 41 | **16:30-17:00 Hands-On: Simulate brain stimulation with TVB** | ||
| 42 | Anaïs Halimi | ||
| 43 | **17:00-17:30 Modeling cerebral energy metabolism in The Virtual Brain** | ||
| 44 | Taher Halgurd | ||
| 45 | **17:30-18:00 Simulating cognitive brain function** | ||
| 46 | Petra Ritter | ||
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9.1 | 47 | |
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10.1 | 49 | |
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9.1 | 50 | **Training Materials.** |
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| 52 | The Training Materials can be found in Drive. |