Wiki source code of Fall School 2023
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| 1 | [[image:Virtual-Course-Fall-2023-Banner.png]] | ||
| 2 | |||
| 3 | (% class="wikigeneratedid" id="HDiveintotheworldofpersonalizedbrainnetworkmodelingandsimulationinourupcomingVirtualCourseSeriesforFall2023.Gainexpertiseinconstructingbrainmodels2Cprocessingmultimodalimagingdata2Candrunningsimulations.ExplorethepowerofTheVirtualBrain28TVB292Canopen-sourceneuroinformaticsplatform2Candunlockitspotentialinclinicalresearch.Thiscoursecoverseverythingfromtheoreticalfoundationstoreal-worldapplications2Cmakingitessentialforanyoneinterestedincutting-edgebrainresearch.Program.EveryTuesday2CfromA0September52C2023toNovember282C2023andfrom16:30to18:302C" style="text-align: justify;" %) | ||
| 4 | **DIVE INTO THE WORLD OF PERSONALIZED BRAIN NETWORK MODELING AND SIMULATION IN OUR UPCOMING VIRTUAL COURSE SERIES FOR FALL 2023.** | ||
| 5 | \\Gain expertise in constructing brain models, processing multimodal imaging data, and running simulations. Explore the power of The Virtual Brain (TVB), an open-source neuroinformatics platform, and unlock its potential in clinical research. This course covers everything from theoretical foundations to real-world applications, making it essential for anyone interested in cutting-edge brain research. | ||
| 6 | \\This comprehensive **12-week virtual course series** is not only an enriching learning experience but also a **credit program**. Upon successful completion, **master's students** will earn **2 ECTS** (European Credit Transfer and Accumulation System) credits, while **doctoral** **students** will gain **3 ECTS credits**. These credits are validated by the esteemed German institutions of the Bernstein Center Computational Neuroscience Berlin and Charité-Universitätsmedizin Berlin. | ||
| 7 | This course not only expands your knowledge but also contributes to your academic and professional growth. | ||
| 8 | \\To embark on this enlightening journey into brain network modeling and clinical research, simply register and access the online course using our convenient [[online registration form>>https://docs.google.com/forms/d/e/1FAIpQLSerbRdSq7qshY4x2mcQEqf7f4cYi-T9Dg87F_iQLQbBOWgFSw/viewform]]. | ||
| 9 | The best part? Registration remains **open throughout the entire duration of the course**, ensuring that you can join at your convenience and pace. | ||
| 10 | \\\\**Program.** | ||
| 11 | Every Tuesday, from September 5, 2023 to November 28,2023 | ||
| 12 | and from 16:30 to 18:30, | ||
| 13 | |||
| 14 | ==== ==== | ||
| 15 | |||
| 16 | **Week 1 **“**The Virtual Brain - Overview**” – Prof. Petra Ritter | ||
| 17 | **Week 2 “Introduction to The Virtual Brain” **– Dr. Julie Courtiol | ||
| 18 | **Week 3 “Modeling neurodegeneration” **– Dr. Leon Stefanovski | ||
| 19 | **Week 4 “Integrating biological knowledge in brain network models” **- Leon Martin, M.Sc. | ||
| 20 | \\**Week 5 **“**Combining AI and Brain Modeling**” – Dr. Kiret Dhindsa | ||
| 21 | **Week 6 **“**The Virtual Brain and multiscale co-simulation**” – Dr. Dionysios Perdikis | ||
| 22 | **Week 7 **“**Generating virtual brains using tailored brain image processing workflows**” – Patrik Bey, M.Sc. | ||
| 23 | **Week 8 **“**In silico optimization of deep brain stimulation**” – Dr. Jil Meier | ||
| 24 | \\**Week 9 **“**TVB-Positron Emission Tomography**” – Dr. Halgurd Taher | ||
| 25 | **Week 10 **“**Understanding principles of traveling waves**” – Dominik Koller, M.Sc. | ||
| 26 | **Week 11 “Workflows on GDPR compliant platforms: Virtual Research Environment and Health Data Cloud**” – Dr. Michael Schirner | ||
| 27 | **Week 12 **“**Modeling mechanisms of psychosis**” – Dr. Konstantin Bülau | ||
| 28 | |||
| 29 | |||
| 30 | **Training Materials.** | ||
| 31 | Training Materials can be found in Drive. | ||
| 32 | \\Training Materials for Week 6 "The Virtual Brain and multiscale co-simulation", can be found in the [[Co-Simulation The Virtual Brain Multiscale Collab>>https://wiki.ebrains.eu/bin/view/Collabs/the-virtual-brain-multiscale/]] and the instruction in Drive. | ||
| 33 | \\**Video Recordings.** | ||
| 34 | The replay of the lecture can be found on our [[Youtube Channel>>https://www.youtube.com/watch?v=kal13LqIBjw&list=PLVtblERyzDeKFmdmFxdxuu1phaXylA2cf]]. |